Posted by whoishiring 3 days ago
Ask HN: Who is hiring? (May 2026)
Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does.
Please only post if you are actively filling a position and are committed to replying to applicants.
Commenters: please don't reply to job posts to complain about something. It's off topic here.
Readers: please only email if you are personally interested in the job.
Searchers: try https://nthesis.ai/public/hn-who-is-hiring, https://dheerajck.github.io/hnwhoishiring/, http://nchelluri.github.io/hnjobs/, https://hnjobs.emilburzo.com, or this (unofficial) Chrome extension: https://chromewebstore.google.com/detail/hn-hiring-pro/mpfal....
Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=47975570
Generation Alpha Transistor (Gen-Alpha) is a San Francisco based start-up, building AI tools for chip designers. It's a space that’s gaining enormous momentum as demand for AI silicon keeps growing.
We’re looking for a Silicon Forward Deployed Engineer to join our rapidly growing team—an expert circuit designer who thrives at the intersection of deep technical work and real-world application. You’ll work side-by-side with customers, helping shape how advanced circuit design evolves in the AI era, and translating cutting-edge capabilities into tangible impact across their workflows. We are a small, highly technical team composed of PhD graduates from Berkeley, MIT, and Carnegie Mellon, with deep experience from companies like Apple, Amazon, Synopsys, and Cadence.
If you are interested, please send your resume along with you some upcoming availability to henry@gen-alpha.io. If there is a potential fit, I can help get a call set up with you and one of our founding team members to talk more about the opportunity!
Gladly is at the forefront of building retail customer service AI. Our AI is live in production with customer-centric brands like Crate & Barrel, Sephora, and REI. We have the ingredients that make AI work: rich data, close customer partnerships, and a strong engineering culture.
We're hiring Senior & Staff Software Engineers to lead major AI & Automation initiatives. This is a high-impact, hands-on role for someone who wants to ship fast, collaborate deeply, and build systems that help real people.
You should have:
- 5-10+ years of full-stack experience (Go, TypeScript, React, Postgres a plus)
- Experience with generative AI, multi-agent systems, RAG pipelines (can be personal projects / side projects)
- A bias toward impact and product thinking
- Excellent collaboration and communication skills
Bonus: Entrepreneurial or other leadership experience. We're a remote-first company with competitive pay, meaningful equity, and a focus on doing real work with great people. Learn more + apply: https://www.gladly.ai/careers Or reach out directly: gerad@gladly.a
Psiphon is a VPN app used by millions of people to access the open internet in regions where it's restricted. Small team, software that matters.
We're building the next-gen client app in Flutter (iOS, Android, macOS, Windows) and need someone who can work across both iOS native and Flutter. Split is roughly 65% Flutter, 35% iOS native (Swift, StoreKit, entitlements, network extensions). You'll have mentorship from a senior iOS specialist for the deeper networking work.
Day to day: Feature development in Flutter, iOS platform integration (subscriptions, permissions, App Store), and occasionally going deep into network extensions and packet tunnel providers. Small team (~3-4 core devs), high ownership, low ceremony.
Looking for: Strong Swift experience beyond just UIKit/SwiftUI app dev, comfort with the iOS ecosystem (App Store process, provisioning, StoreKit), and willingness to context-switch between Swift and Dart in the same day. Flutter experience is a strong plus but not required if you pick up frameworks quickly.
Contact: jobs@psiphon.ca
Company: We are building an executive voice engine (Eve). This is a multi-agent AI system that learns how a leader thinks and produces content indistinguishable from what they'd write. Think: a specialized vertical AI solution that uses coordinated specialized agents, persistent context graphs, a learning flywheel that compounds with every piece. We have paying customers and a growing agency channel, mostly word of mouth.
Role: Full AI stack + product. Agent orchestration, evals, RAG, prompt chaining, model trade-offs, and customer-facing features. TypeScript, SvelteKit, Cloudflare Workers, Postgres.
You: Full-stack in the real sense (AI systems + infra + product). At least five years experience shipping code into production systems including production AI. Move fast, care deeply, and be curious.
Culture: We are a team of four. The founder is technical and moving to spend more time in growing the business. Architecture is early enough that your decisions define the system.
Apply: Send an email to hello [at] helloeve.co.
Use the subject line: My voice is {fill in your description}.
In the body, include your favorite piece of content you've published and why it matters to have your voice out there.
Please also share links to your portfolio and anything that shows how you think about AI systems, e.g. an eval harness, a multi-agent project, a write-up, a side project, and most importantly, why you + why you want to be part of the team.
Profitable and 100% owned by employees and founders.
Apply here: https://column.com/careers
Feel free to email me with any questions: william@
Backend Engineer: (looking for Kotlin/Java/Scala experience). You'll work across the backend: building enterprise integrations, large-scale scraping and parsing pipelines, and systems that let users apply LLMs to millions of documents to generate insights at scale.
AI Engineer: Applied AI plus strong software engineering. You will build, evaluate, and deploy LLM-driven features like deep document analysis and interactive chat, working with models from OpenAI, Anthropic, and Gemini. Expect hands-on Python, ML system design, experimentation, and production reliability. Bonus for RAG depth and frameworks like LangChain, LlamaIndex, or Hugging Face.
We're looking to build our in-person team in NYC but also open to remote!
Apply: https://starbridge.ai/careers and mention HackerNews or email recruiting@starbridge.ai with your resume.
We're building the inference and orchestration layer for production Vision-Language Models. We care deeply about fast and ergonomic visual inference, reliable structured outputs, and the observability to iterate on them.
A few things we've shipped recently you can poke at:
1. Orion: our visual agent that reasons and acts over images, video, and documents. Chat at https://chat.vlm.run.
2. mm-ctx: a Unix-style multimodal CLI (find, cat, grep, wc) that gives coding agents real context over images, video, and PDFs. Rust core, Python devex.
3. vlmbench: single-file CLI for benchmarking VLM inference (TTFT, TPOT, throughput) across vLLM, Ollama, and SGLang.
Email hiring "at" vlm.run with your GitHub + a couple recent projects.
[2] https://pypi.org/project/mm-ctx | https://www.vlm.run/open-source/mm
[3] https://github.com/vlm-run/vlmbench | https://www.vlm.run/open-source/vlmbench
Zenskar is an AI-native revenue automation platform built to handle real-world complexity.
We raised $15M in Series A funding in April 2026, led by Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho, with participation from Rocketship, J-Ventures, Future Back Ventures by Bain & Company, and Converge.
We’re hiring a Senior Backend Engineer to design and build core platform systems where correctness and reliability are non-negotiable. You’ll work on distributed systems, enterprise integrations, and APIs that power zero-touch finance operations at scale.
Looking for engineers with 5–7 years of experience building production backend systems, strong system design instincts, and comfort operating in high-scale, high-complexity environments.
Tech: backend systems, distributed architecture, APIs, AWS, event-driven systems
Apply: https://evolve.keka.com/careers/applyjob/36861 Or email: nitya@zenskar.com
For more openings: https://zenskar.notion.site/careers-zenskar#29c40c1b83f180e9...
General Fusion is a fusion energy startup (est. 2002) operating a fusion demonstration machine (LM26) at our Richmond, BC labs. We're hiring an HPC Admin to manage and evolve our Rocky Linux cluster (70 nodes, 1PB storage, SLURM) and help shape our broader research data infrastructure, bridging simulation and experimental data systems.
Stack: Rocky Linux, SLURM, InfiniBand, Apptainer, Prometheus/Grafana, HDF5/Parquet, DVC/LakeFS, ClickHouse/DuckDB, MongoDB
Requirements: 5+ years in scientific/HPC computing, 2+ years managing HPC clusters, strong Linux sysadmin background.
Apply here: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/...
We are building the trust stack for AI code generation, targeted at high-stakes computing where wrong numbers cost real money: a statically typed functional language designed for coding models, a compiler whose guarantees double as audit-grade trust infrastructure, and a coding model fine-tuned on the language with compiler fitness as the training signal. Language and model are co-designed.
Small team out of PyTorch, FAIR, and Meta. Strong institutional VC support from our pre-seed; active investor interest heading into seed.
Founding Research Scientist: own the agenda across the language and the model. Type system design, compiler analyses that produce useful fitness gradients, and fine-tuning open-weight coding models on a language with no pretraining footprint. Publish in PL and ML venues. Strongest fits cross between machine learning, programming languages, and formal methods. PhD preferred, equivalent output equally fine. Stack is Rust, Lean 4, Python.
Founding Engineering Lead: own engineering across compiler internals, language runtime, GPU backends, notebook and library tooling, and the AI infrastructure around training, evaluation, model release, and likely public inference. We already support x86 and ARM, CUDA and AMD, macOS and Linux, and the matrix grows. Real feel for statically typed functional programming expected; the kind of engineer who picks up Lean or Haskell on a weekend because they wanted to. Have led engineering before, formally or not. Stack is mostly Rust with Python where it earns its place, primarily on AWS.
Both roles: comfortable with early-stage ambiguity, define your own roadmap, defend it with evidence.
Apply: RS: https://wellfound.com/l/2Carrr Eng Lead: https://wellfound.com/l/2CewDC
Socials: YT: https://www.youtube.com/channel/UC4DLS_emqwKXO7A9qaOtxlw SS: https://burninai.substack.com/