Posted by whoishiring 12 hours ago
Ask HN: Who is hiring? (April 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, 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=47601858
Help shape the future of robotics.
I'm Tom, co-founder at Springcraft. We're building the open, full-stack platform for robotics — hardware, developer tools, and AI models so builders can create machines that sense, understand, and act in the real world.
We're hiring for five founding engineering roles:
- Mechanical Engineer - Electrical Engineer - Mechatronics Engineer - Robotics AI Engineer - Software Engineer
Apply: https://www.springcraft.ai/careers/?utm_source=hackernews&ut...
CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.
If interested, apply here --> https://grnh.se/e4e5dc881us
WireScreen is a fast-growing Sequoia-backed Series A startup building the go-to open source intelligence platform for navigating global supply chains and China-related risk. While China maintains some of the world’s most detailed corporate ownership records, the real challenge is connecting the dots. That’s where we come in—surfacing the networks, relationships, and financial ties behind companies to support national security, compliance, and regulatory oversight.
We’re looking for a Senior Product Manager to join us in an early stage product role that represents an opportunity to define the future of WireScreen’s flagship product. You’ll be part of a small team working directly with company leadership, take full ownership of brand new products, and have a meaningful impact on the future of corporate transparency around the globe.
If you have prior startup experience, have worked on at least one data product (or have strong data chops), and bring 6+ years of PM experience - we’d love to talk to you.
Apply here: https://jobs.ashbyhq.com/wirescreen/3c97417f-45f1-4480-8d38-...
Or you can reach out to me directly with questions or your resume at leo.green@wirescreen.ai - I lead recruiting here at WireScreen, but if I don't know the answer I'll ping our engineering folks and come back to you fast. If you think this role isn’t at the right level for you but are interested in working here, let me know!
The AMF works to fight malaria in an extremely cost effective way with insecticide treated bed-nets. Every year hundreds of millions of people will be infected with malaria, and half a million of them will die, with many more being debilitated or disabled. Independent charity evaluators, such as GiveWell, have ranked the AMF as one of the most cost-effective charities in the world for over a decade, due to our long and well-studied track record preventing hundreds of millions of cases of malaria.
Our tech team is just a couple people, and all-remote. Our software is essential to the charity work we do; it is one of the ways we stand out among other charities, by allowing us to automate, analyze, and validate our work in novel ways. Our tech stack includes C# .NET, Blazor, and Python.
If you are a senior SWE in the UK who is interested in making a difference, please reach out to me by email at my first name at againstmalaria.com
I'm Russ, one of the founders of 9 Mothers. We're making AI weapon systems out of Austin, TX. Our first product is for stopping group 1 suicide drones. We started in 2025 - still a small team under 20 people. We're hiring for a lot of roles, but mostly in software and robotics.
We’re Quadrature, a technology company in the algo trading space. We use advanced machine learning on large amounts of data to predict trends in financial markets. More at https://quadrature.ai.
What makes us different:
- ~250 people, no traders — our systems trade autonomously.
- Single PnL.
- We don’t separate “quant researchers” from “developers” — everyone codes to a high level and has the opportunity to do research.
- Mission-driven: our climate foundation (https://www.qc.foundation/) has made significant divestment commitments over recent years. For many of us, it's why we're here.
We’re hiring Quant Developers — a generalist team of engineers and researchers who own both the research pipeline and software infrastructure across the entire business. Stack is Rust, Python and C++. We want sharp, collaborative people with no big egos.
Interested? Reach out here: li@qc.ai.
Aha! is the #1 tool for product managers to plan strategy and roadmaps. We serve more than 700,000 users worldwide. We are looking for:
* Experienced full-stack Rails and security engineers to work on the Aha! product. Our application is built in Ruby on Rails, with React on the frontend for rich client-side experiences.
* Devops engineers with Ruby experience. We focus on the "dev" and all of our operations driven by code.
Aha! is profitable, you can work from anywhere in North or South America, and we offer excellent benefits. We use our own product to manage our work (which is especially rewarding) and we deploy continuously.
Our entire team has always been 100% remote - in North American timezones so we can collaborate during the work day.
We all want to get away from AI slop, etc., but after having been burned one too many times by "perform an hour or more of work in applying for this job to not even get anything more than acknowledgment of receipt followed by crickets", I see that, and I turn away.
Tech stack: Rust | ScyllaDB | k8s | Python | Postgres | Elasticsearch | Terraform
Role: Build and operate distributed database systems and data platform services that store all of the data for Discord's 200M+ users.
We're solving interesting problems around performance, reliability, and scalability at one of the largest communication platforms. Looking for strong infrastructure and distributed systems experience, familiarity with databases like Cassandra/ScyllaDB/Postgres, and comfort working in Rust or similar systems languages.
QUOBYTE | Santa Clara, CA and Berlin, Germany | Full-time / Remote | ONSITE | https://www.quobyte.com/
At Quobyte we are working on a highly scalable and fault-tolerant software storage system built around a parallel file system core. Our customers use us for large scale AI and HPC clusters in the enterprise and research, k8s and OpenStack infrastructures, and as a scalable backend for SaaS products. There are Quobyte clusters which span tens of thousands of machines and slurp 100s of GB/s!
Under the hood, we have built a full-stack fault-tolerant parallel file system, with everything from kernel development over our own replicated database system design to distributed algorithms (Paxos!) and performance. In short: lots of real-world challenging and fun problems!
We work as a highly efficient engineering team, ship frequently, do code reviews, and have lots of unit and integration testing. If you’re passionate about systems, we might be the right place for you!
Berlin, Germany:
* Infrastructure/Support Engineer (40-80k EUR)
For detailed job descriptions please and application process, please visit https://www.quobyte.com/company/careers or write to work at quobyte.com.
We're using LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. (If you're ex-Google, you can think of it like Borg powered by LLMs.)
Today we use ML to make data warehouses and spark jobs more efficient. We're hiring staff ML engineers to train models that can understand how much compute a job needs, how it scales to larger machines, whether a machine can run more jobs, and so on; and staff infra engineers to take those models and deploy them on real-world production systems.
If this sounds cool, please email me: ben [at] espresso [dot] ai