Remote: Yes
Willing to relocate: No
Technologies: Ruby/Rails, Python, Node.js, PostgreSQL, Redis, AWS (Extensive), Event Driven architecture, Docker, Kubernetes, CI/CD, Terraform, Ansible, observability (Prometheus/Grafana), ML/AI tooling, distributed systems, performance optimisation, reliability engineering
R\u00e9sum\u00e9/CV: https://wagnermatos.co.uk | http://infinityloop.tech\nEmail: wm at wagnermatos.co.uk
Open to fractional contract work (part-time or project-based). Senior engineer with strong background in Ruby/Rails, Python, Node.js, modern AWS infrastructure, DevOps, and ML-enabled systems. Experienced leading architecture, scaling, and reliability efforts for production systems."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (December 2025)"}},"_tags":["comment","author_ThorAndZeus","story_46108940"],"author":"ThorAndZeus","comment_text":"Location: UK
Remote: Yes
Willing to relocate: No
Technologies: Ruby/Rails, Python, Node.js, PostgreSQL, Redis, AWS (Extensive), Event Driven architecture, Docker, Kubernetes, CI/CD, Terraform, Ansible, observability (Prometheus/Grafana), ML/AI tooling, distributed systems, performance optimisation, reliability engineering
R\u00e9sum\u00e9/CV: https://wagnermatos.co.uk | http://infinityloop.tech\nEmail: wm at wagnermatos.co.uk
Open to fractional contract work (part-time or project-based). Senior engineer with strong background in Ruby/Rails, Python, Node.js, modern AWS infrastructure, DevOps, and ML-enabled systems. Experienced leading architecture, scaling, and reliability efforts for production systems.","created_at":"2025-12-02T15:07:45Z","created_at_i":1764688065,"objectID":"46121948","parent_id":46108940,"story_id":46108940,"story_title":"Ask HN: Who wants to be hired? (December 2025)","updated_at":"2026-03-05T23:05:31Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"solenopsys"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"Location: Vietnam (UTC+7)
Remote: Yes, worldwide
Willing to relocate: No
Technologies: Zig, Go, TypeScript/JavaScript, Java, Python, AWS, Kubernetes, Docker, PostgreSQL, ClickHouse, distributed systems, LLM/AI infrastructure
Software architect / hands-on engineer with 20+ years of professional experience.
My main strength is system architecture: designing complex backend platforms, distributed systems, high-load infrastructure and integrating them into working products. I stay close to implementation and regularly build core components myself rather than working only at the architecture level.
Background includes telecom infrastructure, payment processing, cloud platforms, distributed data systems, R&D and several CTO/lead roles. More recently I've been working with Zig, Go, TypeScript, Kubernetes and LLM-based automation.
I'm especially interested in architecture-heavy problems, backend/platform engineering, performance, distributed systems, infrastructure and applied AI.
Currently available for remote contract/freelance work and can start immediately. Short, difficult engineering projects are welcome.
Email: newleha@gmail.com\nGitHub: https://github.com/solenopsys"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (October 2026)"}},"_tags":["comment","author_solenopsys","story_49922568"],"author":"solenopsys","comment_text":"Location: Vietnam (UTC+7)
Remote: Yes, worldwide
Willing to relocate: No
Technologies: Zig, Go, TypeScript/JavaScript, Java, Python, AWS, Kubernetes, Docker, PostgreSQL, ClickHouse, distributed systems, LLM/AI infrastructure
Software architect / hands-on engineer with 20+ years of professional experience.
My main strength is system architecture: designing complex backend platforms, distributed systems, high-load infrastructure and integrating them into working products. I stay close to implementation and regularly build core components myself rather than working only at the architecture level.
Background includes telecom infrastructure, payment processing, cloud platforms, distributed data systems, R&D and several CTO/lead roles. More recently I've been working with Zig, Go, TypeScript, Kubernetes and LLM-based automation.
I'm especially interested in architecture-heavy problems, backend/platform engineering, performance, distributed systems, infrastructure and applied AI.
Currently available for remote contract/freelance work and can start immediately. Short, difficult engineering projects are welcome.
Email: newleha@gmail.com\nGitHub: https://github.com/solenopsys","created_at":"2026-10-02T13:48:43Z","created_at_i":1790948923,"objectID":"49933491","parent_id":49922568,"story_id":49922568,"story_title":"Ask HN: Who wants to be hired? (October 2026)","updated_at":"2026-10-02T13:49:33Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"jerrycao0079"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"Location: Los Angeles, CA\nRemote: Yes (US time zones preferred)
Willing to relocate: Yes (Salt Lake City, Carson NV, smaller US cities) Technologies: Kotlin, Android (Room/FTS4, Compose, WorkManager), JavaScript (vanilla, zero-GC patterns), HTML/CSS, SQL, FTS4, TF-IDF, ServiceLocator DI
R\u00e9sum\u00e9/CV: https://drive.google.com/file/d/1e-UhVAkgbpoM7MjF_GtCW_PcsYA... Email: zhikun.dev@gmail.com
Independent systems developer, 27.
Filed US Provisional Patent #63/942,399 in December 2025 covering an offline memory lifecycle management system for mobile AI. Reference implementation on Android (M3mo Vault): FTS4 + TF-IDF hybrid search at 0.78 microseconds/memory on 10K-entry scale, 7-factor decay algorithm validated via ablation study (12x weight differentiation vs 2x baseline), 7-layer ServiceLocator DI replacing Hilt.
Also building Entropix Engine \u2014 a zero-GC browser game engine in vanilla JavaScript sustaining 3,000+ entities at 60 TPS. Structure-of-Arrays memory layout, GridHash spatial partitioning, deterministic fixed-timestep loop, featuring an adaptive grid-sampling fix resolving buffer overflow on high-refresh-rate displays. Live prototype on https://retroindex.org. 60 days into development, 13 milestones shipped. Weekly devlog on r/gamedev.
Past commercial work: scaled an e-commerce operation from $20K/mo to $140K/mo (7x) over 2 years through hand-coded HTML and SEO engineering \u2014 700+ product pages under strict eBay platform constraints (no external CSS/JS allowed), with automated template pipeline reducing launch time 20%.
Background: BS Data Analysis Psychology, UC Davis (2021).
Looking for: contract or full-time remote roles in mobile AI infrastructure, on-device AI memory systems, performance-critical JavaScript/TypeScript, or e-commerce engineering. Open to indie hacker collaborations and Show HN partnerships.
GitHub: https://github.com/PhantomCyclops0079
Portfolio: https://retroindex.org"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (May 2026)"}},"_tags":["comment","author_jerrycao0079","story_47975570"],"author":"jerrycao0079","comment_text":"Location: Los Angeles, CA\nRemote: Yes (US time zones preferred)
Willing to relocate: Yes (Salt Lake City, Carson NV, smaller US cities) Technologies: Kotlin, Android (Room/FTS4, Compose, WorkManager), JavaScript (vanilla, zero-GC patterns), HTML/CSS, SQL, FTS4, TF-IDF, ServiceLocator DI
R\u00e9sum\u00e9/CV: https://drive.google.com/file/d/1e-UhVAkgbpoM7MjF_GtCW_PcsYA... Email: zhikun.dev@gmail.com
Independent systems developer, 27.
Filed US Provisional Patent #63/942,399 in December 2025 covering an offline memory lifecycle management system for mobile AI. Reference implementation on Android (M3mo Vault): FTS4 + TF-IDF hybrid search at 0.78 microseconds/memory on 10K-entry scale, 7-factor decay algorithm validated via ablation study (12x weight differentiation vs 2x baseline), 7-layer ServiceLocator DI replacing Hilt.
Also building Entropix Engine \u2014 a zero-GC browser game engine in vanilla JavaScript sustaining 3,000+ entities at 60 TPS. Structure-of-Arrays memory layout, GridHash spatial partitioning, deterministic fixed-timestep loop, featuring an adaptive grid-sampling fix resolving buffer overflow on high-refresh-rate displays. Live prototype on https://retroindex.org. 60 days into development, 13 milestones shipped. Weekly devlog on r/gamedev.
Past commercial work: scaled an e-commerce operation from $20K/mo to $140K/mo (7x) over 2 years through hand-coded HTML and SEO engineering \u2014 700+ product pages under strict eBay platform constraints (no external CSS/JS allowed), with automated template pipeline reducing launch time 20%.
Background: BS Data Analysis Psychology, UC Davis (2021).
Looking for: contract or full-time remote roles in mobile AI infrastructure, on-device AI memory systems, performance-critical JavaScript/TypeScript, or e-commerce engineering. Open to indie hacker collaborations and Show HN partnerships.
GitHub: https://github.com/PhantomCyclops0079
Portfolio: https://retroindex.org","created_at":"2026-05-01T15:33:01Z","created_at_i":1777649581,"objectID":"47975978","parent_id":47975570,"story_id":47975570,"story_title":"Ask HN: Who wants to be hired? (May 2026)","updated_at":"2026-05-01T15:36:56Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"kiyanwang"},"title":{"fullyHighlighted":false,"matchLevel":"partial","matchedWords":["ai","systems","performance"],"value":"Arcadia: An end-to-end AI system performance simulator"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"https://engineering.fb.com/2023/09/07/data-infrastructure/arcadia-end-to-end-ai-system-performance-simulator/"}},"_tags":["story","author_kiyanwang","story_37555381"],"author":"kiyanwang","created_at":"2023-09-18T12:44:44Z","created_at_i":1695041084,"num_comments":0,"objectID":"37555381","points":1,"story_id":37555381,"title":"Arcadia: An end-to-end AI system performance simulator","updated_at":"2024-09-20T15:12:17Z","url":"https://engineering.fb.com/2023/09/07/data-infrastructure/arcadia-end-to-end-ai-system-performance-simulator/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"zedeus"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"Location: Anonymous, can provide via email
Remote: Yes
Willing to relocate: Depends, open to travel
Technologies: Go, TypeScript, Node.js, Deno, Nim, Python, PostgreSQL, Redis, GCP, Docker, Terraform, Caddy, Linux/VPS infrastructure, REST, GraphQL, Shopify, AI/LLMs
R\u00e9sum\u00e9/CV: Can provide via email
Email: zedeus@pm.me
I'm a senior software engineer with 8 years of experience, primarily focused on backend development, systems architecture, web scraping/reverse engineering, performance optimization, and infrastructure. I work best in small teams where I can operate autonomously and take ownership of difficult problems end-to-end.
I'm the developer of Nitter (https://github.com/zedeus/nitter), an open-source alternative frontend for X/Twitter that I developed and operated for 7 years. At its peak it served millions of users and had a large community around it. I maintained it through major changes to X's infrastructure, including reverse engineering, API usage, caching, performance optimization, anti-bot/WAF systems, and production infrastructure. It was ultimately shut down following legal threats from X.
Outside of Nitter, I've worked on internal logistics systems, APIs and integrations, cloud infrastructure, automation, and various other backend systems. I'm particularly interested in difficult technical problems where I can have substantial ownership, whether that's backend/infrastructure, data acquisition and scraping, developer tooling, or AI-related systems.
I'm anonymous here because of the nature of Nitter and the legal situation surrounding it. I'm happy to verify my identity privately and can provide my CV and additional details by email. Anonymity would not be a requirement after employment.
I'm open to full-time employment or contract work."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (October 2026)"}},"_tags":["comment","author_zedeus","story_49922568"],"author":"zedeus","comment_text":"Location: Anonymous, can provide via email
Remote: Yes
Willing to relocate: Depends, open to travel
Technologies: Go, TypeScript, Node.js, Deno, Nim, Python, PostgreSQL, Redis, GCP, Docker, Terraform, Caddy, Linux/VPS infrastructure, REST, GraphQL, Shopify, AI/LLMs
R\u00e9sum\u00e9/CV: Can provide via email
Email: zedeus@pm.me
I'm a senior software engineer with 8 years of experience, primarily focused on backend development, systems architecture, web scraping/reverse engineering, performance optimization, and infrastructure. I work best in small teams where I can operate autonomously and take ownership of difficult problems end-to-end.
I'm the developer of Nitter (https://github.com/zedeus/nitter), an open-source alternative frontend for X/Twitter that I developed and operated for 7 years. At its peak it served millions of users and had a large community around it. I maintained it through major changes to X's infrastructure, including reverse engineering, API usage, caching, performance optimization, anti-bot/WAF systems, and production infrastructure. It was ultimately shut down following legal threats from X.
Outside of Nitter, I've worked on internal logistics systems, APIs and integrations, cloud infrastructure, automation, and various other backend systems. I'm particularly interested in difficult technical problems where I can have substantial ownership, whether that's backend/infrastructure, data acquisition and scraping, developer tooling, or AI-related systems.
I'm anonymous here because of the nature of Nitter and the legal situation surrounding it. I'm happy to verify my identity privately and can provide my CV and additional details by email. Anonymity would not be a requirement after employment.
I'm open to full-time employment or contract work.","created_at":"2026-10-01T18:17:20Z","created_at_i":1790878640,"objectID":"49925150","parent_id":49922568,"story_id":49922568,"story_title":"Ask HN: Who wants to be hired? (October 2026)","updated_at":"2026-10-11T15:33:33Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"newu1729"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"Location: India\nRemote: Yes (Worldwide)\nWilling to relocate: Yes (Visa sponsorship / relocation welcome)
Technologies: C++, CUDA, Python, PyTorch, Linux, GPU Programming, Deep Learning Systems, AI Infrastructure, AI Inference, CUDA Kernels, Flash Attention, Autograd, SIMD, pybind11
GitHub: https://github.com/Plkmoi/NexusGrad\nR\u00e9sum\u00e9/CV: https://drive.google.com/file/d/1yyu4JSCIXtHZ3H4WF-d2jN2z-pC...\nEmail: narataab01@gmail.com
I'm an engineer focused on deep learning systems and AI infrastructure.
Over the past few years I've been building NexusGrad, a deep learning framework written from scratch in modern C++ and CUDA to better understand how frameworks like PyTorch work internally.
The project includes:\n\u2022 Custom tensor library (CPU/CUDA)\n\u2022 Reverse-mode automatic differentiation\n\u2022 Explicit computational graph runtime\n\u2022 CUDA kernels for tensor operations and attention\n\u2022 Flash Attention\n\u2022 ALiBi attention\n\u2022 Transformer components\n\u2022 AVX2/OpenMP CPU kernels\n\u2022 pybind11 Python bindings\n\u2022 Numerical verification against PyTorch using finite-difference gradient checking
I'm interested in roles involving AI model optimization, LLM inference, deep learning runtimes, AI infrastructure, CUDA development, GPU software, distributed training/inference systems, and performance engineering.
Happy to work remotely worldwide or relocate with visa sponsorship."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (July 2026)"}},"_tags":["comment","author_newu1729","story_48747975"],"author":"newu1729","comment_text":"Location: India\nRemote: Yes (Worldwide)\nWilling to relocate: Yes (Visa sponsorship / relocation welcome)
Technologies: C++, CUDA, Python, PyTorch, Linux, GPU Programming, Deep Learning Systems, AI Infrastructure, AI Inference, CUDA Kernels, Flash Attention, Autograd, SIMD, pybind11
GitHub: https://github.com/Plkmoi/NexusGrad\nR\u00e9sum\u00e9/CV: https://drive.google.com/file/d/1yyu4JSCIXtHZ3H4WF-d2jN2z-pC...\nEmail: narataab01@gmail.com
I'm an engineer focused on deep learning systems and AI infrastructure.
Over the past few years I've been building NexusGrad, a deep learning framework written from scratch in modern C++ and CUDA to better understand how frameworks like PyTorch work internally.
The project includes:\n\u2022 Custom tensor library (CPU/CUDA)\n\u2022 Reverse-mode automatic differentiation\n\u2022 Explicit computational graph runtime\n\u2022 CUDA kernels for tensor operations and attention\n\u2022 Flash Attention\n\u2022 ALiBi attention\n\u2022 Transformer components\n\u2022 AVX2/OpenMP CPU kernels\n\u2022 pybind11 Python bindings\n\u2022 Numerical verification against PyTorch using finite-difference gradient checking
I'm interested in roles involving AI model optimization, LLM inference, deep learning runtimes, AI infrastructure, CUDA development, GPU software, distributed training/inference systems, and performance engineering.
Happy to work remotely worldwide or relocate with visa sponsorship.","created_at":"2026-07-01T16:53:12Z","created_at_i":1782924792,"objectID":"48749808","parent_id":48747975,"story_id":48747975,"story_title":"Ask HN: Who wants to be hired? (July 2026)","updated_at":"2026-07-03T16:30:39Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"marigovsignals"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"GovSignals (https://www.govsignals.ai/)| New York (hybrid) | Full-time | Platform Engineer\nWe\u2019re building GovSignals, the most advanced government-contracting AI platform. We've raised a $5.5 million seed round led by Unusual Ventures, and our team brings deep experience from Palantir and across the national security sector.
We\u2019re hiring a Platform Engineer to work directly with our CTO to build the foundation that powers how we develop, deploy, and scale AI systems \u2014 high-performance services, modern runtimes, and tooling that make engineering at GovSignals fast, secure, and elegant.
Stack: TypeScript, Node, Cloudflare Workers, Kubernetes, Docker, Postgres, Terraform, AWS
Apply here: https://jobs.ashbyhq.com/GovSignals"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who is hiring? (December 2025)"}},"_tags":["comment","author_marigovsignals","story_46108941"],"author":"marigovsignals","comment_text":"GovSignals (https://www.govsignals.ai/)| New York (hybrid) | Full-time | Platform Engineer\nWe\u2019re building GovSignals, the most advanced government-contracting AI platform. We've raised a $5.5 million seed round led by Unusual Ventures, and our team brings deep experience from Palantir and across the national security sector.
We\u2019re hiring a Platform Engineer to work directly with our CTO to build the foundation that powers how we develop, deploy, and scale AI systems \u2014 high-performance services, modern runtimes, and tooling that make engineering at GovSignals fast, secure, and elegant.
Stack: TypeScript, Node, Cloudflare Workers, Kubernetes, Docker, Postgres, Terraform, AWS
Apply here: https://jobs.ashbyhq.com/GovSignals","created_at":"2025-12-03T12:50:40Z","created_at_i":1764766240,"objectID":"46133898","parent_id":46108941,"story_id":46108941,"story_title":"Ask HN: Who is hiring? (December 2025)","updated_at":"2026-03-05T23:06:22Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"marigovsignals"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"GovSignals (https://www.govsignals.ai/)| New York (hybrid) | Full-time | Platform Engineer
We\u2019re building GovSignals, the most advanced government-contracting AI platform. We've raised a $5.5 million seed round led by Unusual Ventures, and our team brings deep experience from Palantir and across the national security sector.
We\u2019re hiring a Platform Engineer to work directly with our CTO to build the foundation that powers how we develop, deploy, and scale AI systems \u2014 high-performance services, modern runtimes, and tooling that make engineering at GovSignals fast, secure, and elegant.
Stack: TypeScript, Node, Cloudflare Workers, Kubernetes, Docker, Postgres, Terraform, AWS
Apply here: https://jobs.ashbyhq.com/GovSignals"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who is hiring? (November 2025)"}},"_tags":["comment","author_marigovsignals","story_45800465"],"author":"marigovsignals","children":[45879327],"comment_text":"GovSignals (https://www.govsignals.ai/)| New York (hybrid) | Full-time | Platform Engineer
We\u2019re building GovSignals, the most advanced government-contracting AI platform. We've raised a $5.5 million seed round led by Unusual Ventures, and our team brings deep experience from Palantir and across the national security sector.
We\u2019re hiring a Platform Engineer to work directly with our CTO to build the foundation that powers how we develop, deploy, and scale AI systems \u2014 high-performance services, modern runtimes, and tooling that make engineering at GovSignals fast, secure, and elegant.
Stack: TypeScript, Node, Cloudflare Workers, Kubernetes, Docker, Postgres, Terraform, AWS
Apply here: https://jobs.ashbyhq.com/GovSignals","created_at":"2025-11-10T18:17:33Z","created_at_i":1762798653,"objectID":"45878938","parent_id":45800465,"story_id":45800465,"story_title":"Ask HN: Who is hiring? (November 2025)","updated_at":"2026-03-05T23:01:09Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"justinlloyd"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"
Location: San Francisco, CA and Los Angeles, CA\n Remote: Yes, hybrid considered for the right money.\n Willing to relocate: Not at this time\n Current Level: Senior Staff / Principle / Lead\n\n I'm a seasoned generalist with deep focus in certain areas such as game development, performance engineering, systems engineering, low-level engineering and embedded software.\n\n What I shipped this year for money: Performance improvements to HFT code (Rust & C++) for financial trading. Firmware for the hardware of an ereader (Rust+ARM).\n\n What I shipped last year for money: High performance (C++) server backend for a video game.\n\n Current side-project: Deep internals work on VS Code Web: using quilt to maintain patches against upstream, extending it with inline agent panels and custom completion providers, backed by a bespoke C# server replacing the Node.js REH with my own dedicated server - similar in spirit to Coder's Code Server or OpenVSCode-Server.\n\n Technologies: kernel drivers, systems engineering, video games, AI, LLMs, caching, graphics, rendering, assembly languages, generative AI, heavy focus on back-end systems, and to a lesser degreee, full-stack.\n\n - Languages: C++, C, C#, Go, Rust, TypeScript, JavaScript, Python, Ruby, Lua, + more.\n - Backend: node, FastAPI, Django, PostgreSQL, mySQL, RocksDB, GraphQL, SQLite.\n - Engines: DumpsterFire, UnrealEngine, Unity3D.\n - Platforms: Windows, macOS, iOS, Android, Linux, SONY PS2/3/4, XBOX360/One, Switch, embedded, web\n - Frontend: Next, React, Vue, Pixi\n - DevOps/Cloud: AWS, Docker, Kubernetes, VMs, Vagrant, VMWare, TeamCity, Jenkins, CI/CD\n - AI/ML: Model training/tuning, LoRa, RAGs, PyTorch, TensorFlow, SciKit, OpenCV, etc, etc, generative AI and computer vision.\n - LLM Integrations: OpenAI, Gemini, Claude plus many others, local and cloud.\n\n R\u00e9sum\u00e9/CV: https://justin-lloyd.com/ (PDF at the bottom of the page)\n Email: justinrlloyd@gmail.com\n\n MSc in CompSci and MSc in AI/Robotics\n\n 20+ years of experience in performance critical systems engineering, video game development, embedded (C/C++/Rust/Asm), low-level engineering & AI, full stack and high performance backends.\n\n Open to full time or contract. Looking for something low-stress and interesting, so open to unconventional setups, but base comp still needs to be grounded in reality. Location: San Francisco, CA and Los Angeles, CA\n Remote: Yes, hybrid considered for the right money.\n Willing to relocate: Not at this time\n Current Level: Senior Staff / Principle / Lead\n\n I'm a seasoned generalist with deep focus in certain areas such as game development, performance engineering, systems engineering, low-level engineering and embedded software.\n\n What I shipped this year for money: Performance improvements to HFT code (Rust & C++) for financial trading. Firmware for the hardware of an ereader (Rust+ARM).\n\n What I shipped last year for money: High performance (C++) server backend for a video game.\n\n Current side-project: Deep internals work on VS Code Web: using quilt to maintain patches against upstream, extending it with inline agent panels and custom completion providers, backed by a bespoke C# server replacing the Node.js REH with my own dedicated server - similar in spirit to Coder's Code Server or OpenVSCode-Server.\n\n Technologies: kernel drivers, systems engineering, video games, AI, LLMs, caching, graphics, rendering, assembly languages, generative AI, heavy focus on back-end systems, and to a lesser degreee, full-stack.\n\n - Languages: C++, C, C#, Go, Rust, TypeScript, JavaScript, Python, Ruby, Lua, + more.\n - Backend: node, FastAPI, Django, PostgreSQL, mySQL, RocksDB, GraphQL, SQLite.\n - Engines: DumpsterFire, UnrealEngine, Unity3D.\n - Platforms: Windows, macOS, iOS, Android, Linux, SONY PS2/3/4, XBOX360/One, Switch, embedded, web\n - Frontend: Next, React, Vue, Pixi\n - DevOps/Cloud: AWS, Docker, Kubernetes, VMs, Vagrant, VMWare, TeamCity, Jenkins, CI/CD\n - AI/ML: Model training/tuning, LoRa, RAGs, PyTorch, TensorFlow, SciKit, OpenCV, etc, etc, generative AI and computer vision.\n - LLM Integrations: OpenAI, Gemini, Claude plus many others, local and cloud.\n\n R\u00e9sum\u00e9/CV: https://justin-lloyd.com/ (PDF at the bottom of the page)\n Email: justinrlloyd@gmail.com\n\n MSc in CompSci and MSc in AI/Robotics\n\n 20+ years of experience in performance critical systems engineering, video game development, embedded (C/C++/Rust/Asm), low-level engineering & AI, full stack and high performance backends.\n\n Open to full time or contract. Looking for something low-stress and interesting, so open to unconventional setups, but base comp still needs to be grounded in reality. SEEKING WORK | Remote\n Location: Los Angeles, CA and San Francisco, CA\n\n I'm a seasoned generalist with deep focus in certain areas such as game development, performance engineering, systems engineering, low-level engineering and embedded software.\n\n What I shipped this year for money: Performance improvements to HFT code (Rust & C++) for financial trading. Firmware for the hardware of an ereader (Rust+ARM). \n\n Current side-project: Deep internals work on VS Code Web: using quilt to maintain patches against upstream, extending it with inline agent panels and custom completion providers, backed by a bespoke C# server replacing the Node.js REH with my own dedicated server - similar in spirit to Coder's Code Server or OpenVSCode-Server.\n\n Technologies: kernel drivers, systems engineering, video games, AI, LLMs, caching, graphics, rendering, assembly languages, generative AI, heavy focus on back-end systems, and to a lesser degreee, full-stack.\n\n - Languages: C++, C, C#, Go, Rust, TypeScript, JavaScript, Python, Ruby, Lua, + more.\n - Backend: node, FastAPI, Django, PostgreSQL, mySQL, RocksDB, GraphQL, SQLite.\n - Engines: DumpsterFire, UnrealEngine, Unity3D.\n - Platforms: Windows, macOS, iOS, Android, Linux, SONY PS2/3/4, XBOX360/One, Switch, embedded, web\n - Frontend: Next, React, Vue, Pixi\n - DevOps/Cloud: AWS, Docker, Kubernetes, VMs, Vagrant, VMWare, TeamCity, Jenkins, CI/CD\n - AI/ML: Model training/tuning, LoRa, RAGs, PyTorch, TensorFlow, SciKit, OpenCV, etc, etc, generative AI and computer vision.\n - LLM Integrations: OpenAI, Gemini, Claude plus many others, local and cloud.\n\n R\u00e9sum\u00e9/CV: https://justin-lloyd.com/ (PDF at the bottom of the page)\n Email: justin@justinlloyd.io\n\n MSc in CompSci and MSc in AI/Robotics and an MBA\n\n 20+ years of experience in performance critical systems engineering, video game development, embedded (C/C++/Rust/Asm), low-level engineering & AI, full stack and high performance backends, leading and managing multiple teams.\n\n Open to full time or contract but prefer contract. Looking for something low-stress and interesting so flexible on money. SEEKING WORK | Remote\n Location: Los Angeles, CA and San Francisco, CA\n\n I'm a seasoned generalist with deep focus in certain areas such as game development, performance engineering, systems engineering, low-level engineering and embedded software.\n\n What I shipped this year for money: Performance improvements to HFT code (Rust & C++) for financial trading. Firmware for the hardware of an ereader (Rust+ARM). \n\n Current side-project: Deep internals work on VS Code Web: using quilt to maintain patches against upstream, extending it with inline agent panels and custom completion providers, backed by a bespoke C# server replacing the Node.js REH with my own dedicated server - similar in spirit to Coder's Code Server or OpenVSCode-Server.\n\n Technologies: kernel drivers, systems engineering, video games, AI, LLMs, caching, graphics, rendering, assembly languages, generative AI, heavy focus on back-end systems, and to a lesser degreee, full-stack.\n\n - Languages: C++, C, C#, Go, Rust, TypeScript, JavaScript, Python, Ruby, Lua, + more.\n - Backend: node, FastAPI, Django, PostgreSQL, mySQL, RocksDB, GraphQL, SQLite.\n - Engines: DumpsterFire, UnrealEngine, Unity3D.\n - Platforms: Windows, macOS, iOS, Android, Linux, SONY PS2/3/4, XBOX360/One, Switch, embedded, web\n - Frontend: Next, React, Vue, Pixi\n - DevOps/Cloud: AWS, Docker, Kubernetes, VMs, Vagrant, VMWare, TeamCity, Jenkins, CI/CD\n - AI/ML: Model training/tuning, LoRa, RAGs, PyTorch, TensorFlow, SciKit, OpenCV, etc, etc, generative AI and computer vision.\n - LLM Integrations: OpenAI, Gemini, Claude plus many others, local and cloud.\n\n R\u00e9sum\u00e9/CV: https://justin-lloyd.com/ (PDF at the bottom of the page)\n Email: justin@justinlloyd.io\n\n MSc in CompSci and MSc in AI/Robotics and an MBA\n\n 20+ years of experience in performance critical systems engineering, video game development, embedded (C/C++/Rust/Asm), low-level engineering & AI, full stack and high performance backends, leading and managing multiple teams.\n\n Open to full time or contract but prefer contract. Looking for something low-stress and interesting so flexible on money.Remote: Yes
Willing to relocate: No
Technologies: Elixir, Go, TypeScript, Postgres, SQLite, Docker, AWS, sync engine, containers, distributed systems
Resume: https://sholik.dev/resume/
Email: oleksii@sholik.dev
I build data infrastructure: sync engines, durable streams, and backend systems that must stay correct through load, restarts, and failure. I have expert-level, hands-on knowledge of Postgres logical replication and of the BEAM VM's concurrency and memory model. I'm looking for a remote senior software engineer role in distributed systems, replication, storage, AI agent infrastructure, or performance engineering. I'm deepest in Elixir/OTP and Postgres, productive in Go and TypeScript, and more interested in hard systems problems than any particular language."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (August 2026)"}},"_tags":["comment","author_alco","story_49156682"],"author":"alco","comment_text":"Location: Lucca, Italy
Remote: Yes
Willing to relocate: No
Technologies: Elixir, Go, TypeScript, Postgres, SQLite, Docker, AWS, sync engine, containers, distributed systems
Resume: https://sholik.dev/resume/
Email: oleksii@sholik.dev
I build data infrastructure: sync engines, durable streams, and backend systems that must stay correct through load, restarts, and failure. I have expert-level, hands-on knowledge of Postgres logical replication and of the BEAM VM's concurrency and memory model. I'm looking for a remote senior software engineer role in distributed systems, replication, storage, AI agent infrastructure, or performance engineering. I'm deepest in Elixir/OTP and Postgres, productive in Go and TypeScript, and more interested in hard systems problems than any particular language.","created_at":"2026-08-04T16:53:35Z","created_at_i":1785862415,"objectID":"49171539","parent_id":49156682,"story_id":49156682,"story_title":"Ask HN: Who wants to be hired? (August 2026)","updated_at":"2026-08-06T18:27:53Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"justinlloyd"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"
I'm a seasoned generalist with deep focus in certain areas such as game development, performance engineering, systems engineering, low-level engineering and embedded software.\n\n Location: San Francisco, CA and Los Angeles, CA\n Remote: Yes, hybrid considered for the right money.\n Willing to relocate: Not at this time\n\n Current side-project: Deep internals work on VS Code Web: using quilt to maintain patches against upstream, extending it with inline agent panels and custom completion providers, backed by a bespoke C# server replacing the Node.js REH (similar in spirit to Coder's Code Server or OpenVSCode-Server).\n\n Technologies: kernel drivers, systems engineering, video games, AI, LLMs, caching, graphics, rendering, assembly languages, generative AI, heavy focus on back-end systems, and to a lesser degreee, full-stack.\n\n - Languages: C++, C, C#, Go, Rust, TypeScript, JavaScript, Python, Ruby, Lua, + more.\n - Backend: node, FastAPI, Django, PostgreSQL, mySQL, RocksDB, GraphQL, SQLite.\n - Engines: DumpsterFire, UnrealEngine, Unity3D.\n - Platforms: Windows, macOS, iOS, Android, Linux, SONY PS2/3/4, XBOX360/One, Switch, embedded, web\n - Frontend: Next, React, Vue, Pixi\n - DevOps/Cloud: AWS, Docker, Kubernetes, VMs, Vagrant, VMWare, TeamCity, Jenkins, CI/CD\n - AI/ML: Model training/tuning, LoRa, RAGs, PyTorch, TensorFlow, SciKit, OpenCV, etc, etc.\n - LLM Integrations: OpenAI, Gemini, Claude plus many others, local and cloud.\n\n R\u00e9sum\u00e9/CV: https://justin-lloyd.com/ (PDF at the bottom of the page)\n Email: justin@justinlloyd.io\n\n MSc in CompSci and MSc in AI/Robotics and an MBA\n\n 20+ years of experience in performance critical systems engineering, video game development, embedded (C/C++/Rust/Asm), low-level engineering & AI, full stack and high performance backends, leading and managing multiple teams.\n\n Open to full time or contract but prefer contract. Looking for something low-stress so flexible on money. I'm a seasoned generalist with deep focus in certain areas such as game development, performance engineering, systems engineering, low-level engineering and embedded software.\n\n Location: San Francisco, CA and Los Angeles, CA\n Remote: Yes, hybrid considered for the right money.\n Willing to relocate: Not at this time\n\n Current side-project: Deep internals work on VS Code Web: using quilt to maintain patches against upstream, extending it with inline agent panels and custom completion providers, backed by a bespoke C# server replacing the Node.js REH (similar in spirit to Coder's Code Server or OpenVSCode-Server).\n\n Technologies: kernel drivers, systems engineering, video games, AI, LLMs, caching, graphics, rendering, assembly languages, generative AI, heavy focus on back-end systems, and to a lesser degreee, full-stack.\n\n - Languages: C++, C, C#, Go, Rust, TypeScript, JavaScript, Python, Ruby, Lua, + more.\n - Backend: node, FastAPI, Django, PostgreSQL, mySQL, RocksDB, GraphQL, SQLite.\n - Engines: DumpsterFire, UnrealEngine, Unity3D.\n - Platforms: Windows, macOS, iOS, Android, Linux, SONY PS2/3/4, XBOX360/One, Switch, embedded, web\n - Frontend: Next, React, Vue, Pixi\n - DevOps/Cloud: AWS, Docker, Kubernetes, VMs, Vagrant, VMWare, TeamCity, Jenkins, CI/CD\n - AI/ML: Model training/tuning, LoRa, RAGs, PyTorch, TensorFlow, SciKit, OpenCV, etc, etc.\n - LLM Integrations: OpenAI, Gemini, Claude plus many others, local and cloud.\n\n R\u00e9sum\u00e9/CV: https://justin-lloyd.com/ (PDF at the bottom of the page)\n Email: justin@justinlloyd.io\n\n MSc in CompSci and MSc in AI/Robotics and an MBA\n\n 20+ years of experience in performance critical systems engineering, video game development, embedded (C/C++/Rust/Asm), low-level engineering & AI, full stack and high performance backends, leading and managing multiple teams.\n\n Open to full time or contract but prefer contract. Looking for something low-stress so flexible on money.High-Impact Engineer | AI Orchestration & Distributed Systems
I am a Senior Engineer specializing in building deterministic, production-grade systems on top of non-deterministic LLMs. Most recently, I architected a Document Verification Service extension that handles high-volume bank statement extraction with a focus on auditability and precision.
Key Achievements:
LLM Orchestration: Designed strict JSON schema contracts and Vertex Schema builders for Gemini, ensuring type-safe, structured output from unstructured financial documents.
Confidence Frameworks: Developed a proprietary "template-aware" row-confidence scoring engine. This system aggregates and propagates confidence levels across extraction pipelines to mitigate LLM hallucinations.
Performance Engineering: Implemented "single-page fast paths" and deterministic PDF sampling logic, significantly reducing latency and token costs for multi-page document processing.
Reactive Systems: Deep experience with Project Reactor and WebClient for high-throughput, non-blocking service-to-service communication.
Observability: Built deep-dive extraction analytics using ClickHouse to monitor model performance and confidence drift in real-time.
I am looking for a Staff or Senior role where I can bridge the gap between AI research and production-ready engineering. I bring a "multiplier" mindset to teams, focusing on reducing cognitive complexity and building scalable architecture."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"[dead]"}},"_tags":["comment","author_adrianzevenster","story_47198454"],"author":"adrianzevenster","comment_text":"The Hacker News Pitch\nLocation: Cape Town, South Africa (UTC+2)\nRemote: Yes (Remote only)\nWilling to relocate: No / [Optional: Yes, to EU/UK]\nTechnologies: Java 21+, Spring Boot, Project Reactor (Reactive Streams), Vertex AI / Gemini, ClickHouse, Google Spanner, Kafka, Kubernetes.\nR\u00e9sum\u00e9/CV: \nEmail: a.zevenstar@gmail.com
High-Impact Engineer | AI Orchestration & Distributed Systems
I am a Senior Engineer specializing in building deterministic, production-grade systems on top of non-deterministic LLMs. Most recently, I architected a Document Verification Service extension that handles high-volume bank statement extraction with a focus on auditability and precision.
Key Achievements:
LLM Orchestration: Designed strict JSON schema contracts and Vertex Schema builders for Gemini, ensuring type-safe, structured output from unstructured financial documents.
Confidence Frameworks: Developed a proprietary "template-aware" row-confidence scoring engine. This system aggregates and propagates confidence levels across extraction pipelines to mitigate LLM hallucinations.
Performance Engineering: Implemented "single-page fast paths" and deterministic PDF sampling logic, significantly reducing latency and token costs for multi-page document processing.
Reactive Systems: Deep experience with Project Reactor and WebClient for high-throughput, non-blocking service-to-service communication.
Observability: Built deep-dive extraction analytics using ClickHouse to monitor model performance and confidence drift in real-time.
I am looking for a Staff or Senior role where I can bridge the gap between AI research and production-ready engineering. I bring a "multiplier" mindset to teams, focusing on reducing cognitive complexity and building scalable architecture.","created_at":"2026-02-28T18:12:47Z","created_at_i":1772302367,"objectID":"47198455","parent_id":47198454,"story_id":47198454,"story_title":"[dead]","updated_at":"2026-03-05T23:39:22Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"amanjaincorp"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"MadMen AI | Chief Applied AI Scientist | Bay Area (Burlingame, CA \u2013 ONSITE)
MadMen AI is a seed-stage AdTech startup ($8M raised) founded by ex-leaders from Facebook, WhatsApp, Twitter, and Instagram. We\u2019re disrupting a $950B industry by automating ad creation with AI agents\u2014blending Don Draper-level creativity with razor-sharp data insights.
Role:
\u2022 Lead development of AI systems for ad performance prediction and creative asset generation.
\u2022 Define and execute strategies\u2014from data collection to model fine-tuning\u2014to push AI from \u201c80% good\u201d to \u201c99% brilliant.\u201d
\u2022 Collaborate directly with a founding team behind multiple $1B+ ad products.
You:
\u2022 Have 6+ years of industry experience building 0-to-1 deep learning systems (modeling and evaluation expertise is crucial).
Why MadMen AI?
\u2022 Tackle a unique challenge: engineering creativity with AI. Curious? Email us at jobs@usemadmen.ai.
\u2022 Join the founding team with massive equity upside.
\u2022 Escape the typical \u201cgrind culture\u201d \u2013 we value velocity over speed and ask plenty of why\u2019s for greater clarity.
\u2022 Founded by seasoned AdTech experts focused on long-term impact.
\u2022 Post-revenue with +30% MoM growth.
Apply:\nSend your resume to jobs@usemadmen.ai.\nMore details at https://usemadmen.ai/careers."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who is hiring? (February 2025)"}},"_tags":["comment","author_amanjaincorp","story_42919502"],"author":"amanjaincorp","comment_text":"MadMen AI | Chief Applied AI Scientist | Bay Area (Burlingame, CA \u2013 ONSITE)
MadMen AI is a seed-stage AdTech startup ($8M raised) founded by ex-leaders from Facebook, WhatsApp, Twitter, and Instagram. We\u2019re disrupting a $950B industry by automating ad creation with AI agents\u2014blending Don Draper-level creativity with razor-sharp data insights.
Role:
\u2022 Lead development of AI systems for ad performance prediction and creative asset generation.
\u2022 Define and execute strategies\u2014from data collection to model fine-tuning\u2014to push AI from \u201c80% good\u201d to \u201c99% brilliant.\u201d
\u2022 Collaborate directly with a founding team behind multiple $1B+ ad products.
You:
\u2022 Have 6+ years of industry experience building 0-to-1 deep learning systems (modeling and evaluation expertise is crucial).
Why MadMen AI?
\u2022 Tackle a unique challenge: engineering creativity with AI. Curious? Email us at jobs@usemadmen.ai.
\u2022 Join the founding team with massive equity upside.
\u2022 Escape the typical \u201cgrind culture\u201d \u2013 we value velocity over speed and ask plenty of why\u2019s for greater clarity.
\u2022 Founded by seasoned AdTech experts focused on long-term impact.
\u2022 Post-revenue with +30% MoM growth.
Apply:\nSend your resume to jobs@usemadmen.ai.\nMore details at https://usemadmen.ai/careers.","created_at":"2025-02-04T08:59:27Z","created_at_i":1738659567,"objectID":"42929953","parent_id":42919502,"story_id":42919502,"story_title":"Ask HN: Who is hiring? (February 2025)","updated_at":"2025-02-04T19:52:35Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"michaelluster77"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"Location: Garland, TX
Remote: Yes
Willing to relocate: No
Technologies:
AI Engineering \u2014 OpenAI, Azure OpenAI, Amazon Bedrock, Retrieval-Augmented Generation (RAG), AI Agents, Conversational AI, Voice AI, Semantic Search, Vector Search, Knowledge Retrieval Systems, LLM Evaluation, AI Guardrails, Prompt Engineering, Tool Calling, Structured Outputs
Software Engineering \u2014 Python, TypeScript, JavaScript, React, Next.js, FastAPI, Node.js, Express.js, REST APIs, GraphQL, Full-Stack Application Development
System Design & Architecture \u2014 Distributed Systems, Event-Driven Architecture, Microservices, Workflow Orchestration, Integration Architecture, Asynchronous Processing, Scalability, Reliability Engineering, Performance Optimization
Cloud & DevOps \u2014 AWS (ECS, Lambda, API Gateway, RDS, S3, CloudWatch), Docker, Kubernetes, CI/CD, GitHub Actions, Azure DevOps, Infrastructure Automation
Data Platforms \u2014 PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Snowflake, Pinecone, pgvector, Data Modeling, Query Optimization, Caching Strategies
R\u00e9sum\u00e9/CV: https://drive.google.com/file/d/1JIdpFp4O6f4fUVt8pzEZDL2whOw...
Email: michaelluster715@gmail.com"},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (June 2026)"}},"_tags":["comment","author_michaelluster77","story_48357724"],"author":"michaelluster77","comment_text":"Location: Garland, TX
Remote: Yes
Willing to relocate: No
Technologies:
AI Engineering \u2014 OpenAI, Azure OpenAI, Amazon Bedrock, Retrieval-Augmented Generation (RAG), AI Agents, Conversational AI, Voice AI, Semantic Search, Vector Search, Knowledge Retrieval Systems, LLM Evaluation, AI Guardrails, Prompt Engineering, Tool Calling, Structured Outputs
Software Engineering \u2014 Python, TypeScript, JavaScript, React, Next.js, FastAPI, Node.js, Express.js, REST APIs, GraphQL, Full-Stack Application Development
System Design & Architecture \u2014 Distributed Systems, Event-Driven Architecture, Microservices, Workflow Orchestration, Integration Architecture, Asynchronous Processing, Scalability, Reliability Engineering, Performance Optimization
Cloud & DevOps \u2014 AWS (ECS, Lambda, API Gateway, RDS, S3, CloudWatch), Docker, Kubernetes, CI/CD, GitHub Actions, Azure DevOps, Infrastructure Automation
Data Platforms \u2014 PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Snowflake, Pinecone, pgvector, Data Modeling, Query Optimization, Caching Strategies
R\u00e9sum\u00e9/CV: https://drive.google.com/file/d/1JIdpFp4O6f4fUVt8pzEZDL2whOw...
Email: michaelluster715@gmail.com","created_at":"2026-06-11T09:11:42Z","created_at_i":1781169102,"objectID":"48488025","parent_id":48357724,"story_id":48357724,"story_title":"Ask HN: Who wants to be hired? (June 2026)","updated_at":"2026-06-11T09:15:28Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"wisty"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"I don't really agree.
There are a number of things that \"computer science\" can be:
- The study of algorithms. Mathy.
- Numerical analysis. Mathy.
- Compilers, computational reasoning, automated proofs. Mathy.
- Data mining and AI. Mathy.
- Systems, especially performance testing. Needs some statistics, but it's not hardcore math. No more than psychology or economics.
- Systems architecture. Not at all mathy. More like the biology of computer systems.
- Best practices. Software engineering. Not really mathy. Not really science either.
- OOP. Theology?
Of course, if you are good at math, then the most mathematical parts of computer science may be the ones that catch your eye. So you equate computer science with math + a bit of fluff. But there are things to study that aren't just math, even in the field of computer science."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Advanced Computer Science Courses"},"story_url":{"matchLevel":"none","matchedWords":[],"value":"http://the-paper-trail.org/blog/?page_id=152"}},"_tags":["comment","author_wisty","story_2635572"],"author":"wisty","children":[2637416],"comment_text":"I don't really agree.
There are a number of things that \"computer science\" can be:
- The study of algorithms. Mathy.
- Numerical analysis. Mathy.
- Compilers, computational reasoning, automated proofs. Mathy.
- Data mining and AI. Mathy.
- Systems, especially performance testing. Needs some statistics, but it's not hardcore math. No more than psychology or economics.
- Systems architecture. Not at all mathy. More like the biology of computer systems.
- Best practices. Software engineering. Not really mathy. Not really science either.
- OOP. Theology?
Of course, if you are good at math, then the most mathematical parts of computer science may be the ones that catch your eye. So you equate computer science with math + a bit of fluff. But there are things to study that aren't just math, even in the field of computer science.","created_at":"2011-06-09T14:25:51Z","created_at_i":1307629551,"objectID":"2637232","parent_id":2637192,"story_id":2635572,"story_title":"Advanced Computer Science Courses","story_url":"http://the-paper-trail.org/blog/?page_id=152","updated_at":"2024-09-19T17:43:58Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"msai"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"Location: Istanbul, T\u00fcrkiye\nRemote: Yes\nWilling to relocate: Yes
Technologies: C/C++, Rust, Python, Linux, RTOS, TCP/IP, eBPF/XDP, WebRTC, UWB/BLE, embedded/IoT & mesh-connected devices, PostgreSQL, Docker, AI/LLM systems
R\u00e9sum\u00e9 / Portfolio: https://msakg.com\nGitHub: https://github.com/imsakg\nLinkedIn: https://linkedin.com/in/msakg\nEmail: contact@msakg.com
Lead AI Agent Software Engineer focused on real-time, performance-critical systems across AI, networking, embedded devices, and production infrastructure.
My background sits at the intersection of software and the physical world:
\u2022 Currently leading architecture and production hardening of a real-time multimodal AI agent platform \u2014 streaming STT \u2192 LLM/tools \u2192 TTS, WebRTC, asyncio, long-lived state/memory, retrieval, observability, failure handling, cancellation, backpressure, and latency-sensitive execution.
\u2022 Previously built real-time networking software for aerial systems using Rust, Linux, eBPF/XDP and IEEE 802.1 TSN concepts, including reliability mechanisms where deterministic behavior and low fast-path overhead matter.
\u2022 Earlier developed C/C++ bare-metal and RTOS firmware for access-control/security and embedded/IoT devices \u2014 TCP/IP, UART/I2C/SPI, RS232/RS485, Modbus, secure device communication, UWB/BLE localization, sensors, relays and constrained hardware.
I\u2019m most interested in difficult engineering problems where timing, reliability, networking, hardware constraints, and user-facing behavior meet: mission/performance-critical software, real-time systems, embedded/IoT, access control, UWB, distributed device systems, AI infrastructure, backend/platform engineering, and systems software.
I enjoy owning systems end-to-end \u2014 architecture, implementation, debugging, benchmarking, deployment, production incidents, and the less glamorous failure modes that only appear in real environments.
I\u2019m looking for a strong engineering team tackling genuinely hard technical problems. Open to Lead/Senior Software, Systems, Embedded, Platform, Backend, Real-Time AI, or similarly hands-on engineering roles.
If you're building something where milliseconds, reliability, hardware, networks, or production correctness actually matter, I'd be very happy to talk."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (October 2026)"}},"_tags":["comment","author_msai","story_49922568"],"author":"msai","comment_text":"Location: Istanbul, T\u00fcrkiye\nRemote: Yes\nWilling to relocate: Yes
Technologies: C/C++, Rust, Python, Linux, RTOS, TCP/IP, eBPF/XDP, WebRTC, UWB/BLE, embedded/IoT & mesh-connected devices, PostgreSQL, Docker, AI/LLM systems
R\u00e9sum\u00e9 / Portfolio: https://msakg.com\nGitHub: https://github.com/imsakg\nLinkedIn: https://linkedin.com/in/msakg\nEmail: contact@msakg.com
Lead AI Agent Software Engineer focused on real-time, performance-critical systems across AI, networking, embedded devices, and production infrastructure.
My background sits at the intersection of software and the physical world:
\u2022 Currently leading architecture and production hardening of a real-time multimodal AI agent platform \u2014 streaming STT \u2192 LLM/tools \u2192 TTS, WebRTC, asyncio, long-lived state/memory, retrieval, observability, failure handling, cancellation, backpressure, and latency-sensitive execution.
\u2022 Previously built real-time networking software for aerial systems using Rust, Linux, eBPF/XDP and IEEE 802.1 TSN concepts, including reliability mechanisms where deterministic behavior and low fast-path overhead matter.
\u2022 Earlier developed C/C++ bare-metal and RTOS firmware for access-control/security and embedded/IoT devices \u2014 TCP/IP, UART/I2C/SPI, RS232/RS485, Modbus, secure device communication, UWB/BLE localization, sensors, relays and constrained hardware.
I\u2019m most interested in difficult engineering problems where timing, reliability, networking, hardware constraints, and user-facing behavior meet: mission/performance-critical software, real-time systems, embedded/IoT, access control, UWB, distributed device systems, AI infrastructure, backend/platform engineering, and systems software.
I enjoy owning systems end-to-end \u2014 architecture, implementation, debugging, benchmarking, deployment, production incidents, and the less glamorous failure modes that only appear in real environments.
I\u2019m looking for a strong engineering team tackling genuinely hard technical problems. Open to Lead/Senior Software, Systems, Embedded, Platform, Backend, Real-Time AI, or similarly hands-on engineering roles.
If you're building something where milliseconds, reliability, hardware, networks, or production correctness actually matter, I'd be very happy to talk.","created_at":"2026-10-02T09:34:00Z","created_at_i":1790933640,"objectID":"49931587","parent_id":49922568,"story_id":49922568,"story_title":"Ask HN: Who wants to be hired? (October 2026)","updated_at":"2026-10-02T09:37:17Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"8clever"},"comment_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["ai","systems","performance","engineering"],"value":"
Location: Russia\n Remote: Yes\n Willing to relocate: Yes\n Technologies: Rust, Python, TypeScript/Node.js, distributed systems, high-load backend, system architecture, AI/LLM infrastructure, MCP, agentic systems, real-time systems, algorithmic trading, market making, PostgreSQL, Docker, Kubernetes\n R\u00e9sum\u00e9/CV: https://www.vitiaev.com\n Email: info@vitiaev.com\nI\u2019m most interested in difficult engineering problems where architecture, performance, reliability, and ownership matter. Recent work includes MCP/AI systems, multimodal pipelines, semantic search, and production platforms.
Open to senior/staff/principal engineering, architect, technical lead, and CTO-level opportunities. I\u2019m also open to joining a strong team in a less predefined role where my background can be applied where it has the most impact.
Looking for a serious engineering problem, not AI training/data-labeling work."},"story_title":{"matchLevel":"none","matchedWords":[],"value":"Ask HN: Who wants to be hired? (October 2026)"}},"_tags":["comment","author_8clever","story_49922568"],"author":"8clever","comment_text":"
Location: Russia\n Remote: Yes\n Willing to relocate: Yes\n Technologies: Rust, Python, TypeScript/Node.js, distributed systems, high-load backend, system architecture, AI/LLM infrastructure, MCP, agentic systems, real-time systems, algorithmic trading, market making, PostgreSQL, Docker, Kubernetes\n R\u00e9sum\u00e9/CV: https://www.vitiaev.com\n Email: info@vitiaev.com\nI\u2019m most interested in difficult engineering problems where architecture, performance, reliability, and ownership matter. Recent work includes MCP/AI systems, multimodal pipelines, semantic search, and production platforms.
Open to senior/staff/principal engineering, architect, technical lead, and CTO-level opportunities. I\u2019m also open to joining a strong team in a less predefined role where my background can be applied where it has the most impact.
Looking for a serious engineering problem, not AI training/data-labeling work.","created_at":"2026-10-02T08:53:51Z","created_at_i":1790931231,"objectID":"49931319","parent_id":49922568,"story_id":49922568,"story_title":"Ask HN: Who wants to be hired? (October 2026)","updated_at":"2026-10-02T09:16:32Z"}],"hitsPerPage":20,"nbHits":554,"nbPages":28,"page":0,"params":"query=AI+Systems+Performance+Engineering&advancedSyntax=true&analyticsTags=backend","processingTimeMS":33,"processingTimingsMS":{"_request":{"queue":25,"roundTrip":20},"afterFetch":{"format":{"highlighting":1,"total":2},"merge":{"mergeLoop":{"prepareNextHit":2,"total":2},"total":3},"total":3},"fetch":{"query":10,"scanning":18,"total":29},"total":33},"query":"AI Systems Performance Engineering","serverTimeMS":61}