Adacore is the maintainer of GNAT, GCC's Ada frontend (but now with many more compiler backends: LLVM, Why3, JVM...) and of a lot of tools revolving around the Ada ecosystem (IDEs, Coverage tools, Fuzzers, Static Analyzers, Formal proof tooling...). Evertything we build is open-source and we make money by providing support, trainings, certifications...

We are looking for different profiles:

- GCC/GNU toolchain developpers ( https://app.hellotalent.com/vacancy/gnu-toolchain-developer-... )

- Senior Static Analysis Software Engineer ( https://app.hellotalent.com/vacancy/senior-static-analysis-s... )

Please apply through the website. I am in the Static Analysis team, so I can answer questions if you have any. Also, if you feel like you would be a strong candidate (e.g. you have working experience with abstract interpretation) but are missing some of the requirements (e.g. not in the right location or only three years of experience instead of five etc) and this is making you hesitate to apply, please contact me - I'm just a lowly engineer far removed from the hiring pipeline but I'd love to hear for you and try to convince HR that you could be a good fit :).

PrairieLearn (https://www.prairielearn.com) is an open-source assessment platform used by universities across the US (Berkeley, Princeton, Michigan, Illinois, and others). We power mastery-based learning and large-scale exams.

We’re a small, profitable, early-stage company (bootstrapped, no VC) that is growing quickly. Our users love us and we have very high retention and rapid spread through word of mouth. As an early-stage hire, you’ll work across the stack and enjoy meaningful ownership from day one.

Tech we use: Node.js / TypeScript backend, Postgres, AWS, React. We’re also developing AI tooling, including building LLM agents to help instructors create content and using vision-language models to help grade student work. PrairieLearn is open core: https://github.com/PrairieLearn/PrairieLearn

Details:

- Location: Remote (US only)

- Salary: $100k-$140k depending on experience

- Benefits: Stock options (0.5% - 1.5%), unlimited PTO, flexible hours

- Role: Full-time. (We’re not able to sponsor visas at this time.)

Apply at https://www.prairielearn.com/jobs-ashby?ashby_jid=ee6fdbc3-1...

Sony Music Entertainment is one of the world's leading music companies, home to artists, labels, and the technology that powers them. We're hiring across engineering and product.

- Software Engineer, D2C (London): https://careers.sonymusic.com/jobs/8336599002

- Senior Software Engineer, D2C (London): https://careers.sonymusic.com/jobs/8344246002

- Senior Product Manager, D2C (New York): https://careers.sonymusic.com/jobs/8447185002

- Engineering Manager, Pub Admin (London): https://careers.sonymusic.com/jobs/8400756002

- VP of Engineering, Content (London): https://careers.sonymusic.com/jobs/8536490002

We're also hiring more Engineering Managers and Software Engineers (including Principal and Lead roles) in London, New York, and Tallinn.

For the details: https://careers.sonymusic.com/jobs

Deep learning transformed text and images but mostly skipped tables, even though they're behind most clinical trials, financial models, and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets, so the architectures and scaling laws behind LLMs don't transfer. We're building the foundation-model approach for tabular data. We started with TabPFN. v2 was published in Nature and set a new state of the art on tabular benchmarks; since release we've scaled capabilities ~20x and crossed 3M+ downloads and 6k+ GitHub stars. The hard problems are still open: scaling to millions of rows, low-latency inference, new data modalities, and the infrastructure to run all of it in production.

Open roles: - Senior ML Infrastructure Engineer - own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance, and the tooling layer. We spend tens of millions/year on compute; you own that budget. Train your own architecture if you've got one. - ML Engineer, Cloud Platform - design and scale the backend and infra that serve and finetune the models. Python/FastAPI, Terraform, K8s. - Full Stack Engineer, ML Platform - build the product end to end, data upload through inference. TS + Python, React/FastAPI/Postgres. - Research Scientist, Foundation Model - drive the model agenda: novel architectures, scaling 10K to 1M+ samples, multimodal and causal directions. PhD + top-venue publications or equivalent.

Also hiring: Applied Scientist, Forward Deployed ML Engineer, Developer Relations Engineer, AE, BDR.

30-person team with backgrounds from Google, G-Research, Jane Street, Goldman, CERN. Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun. Comp competitive with top AI labs.

All roles: https://priorlabs.ai/careers

Datadog is a monitoring, tracing, logs system, and more, for your infrastructure and services. We build our own tsdb, event store [1][2], distributed tracing tools, cutting edge visualizations, and more. We love shipping great experiences for customers just like us and are growing fast! We write a lot of Go, Java, Python, Typescript (with React), and a bit of other languages. We run on k8s, and are multi-region and multi-cloud.

We're looking for people who can build systems at scale as we process trillions of events per day. Let us know if that's you!

https://dtdg.co/hnwhoshiring

[1] https://www.datadoghq.com/blog/engineering/introducing-husky

[2] https://www.datadoghq.com/blog/engineering/husky-deep-dive

Subtle Medical is a global leader in AI-powered medical imaging, using deep learning to enable faster, safer, and smarter scans. Our technology helps healthcare providers deliver high-quality imaging more efficiently—reducing scan times, improving image quality, and expanding access to care without the need for new hardware.

We are on a mission to transform the imaging experience for both providers and patients. By building responsible AI solutions that integrate seamlessly into existing workflows, we help radiology teams operate more efficiently while improving the patient experience—especially for those who struggle with long or difficult exams. Our vision is a world where every patient has access to timely diagnosis, high-quality care, and better health outcomes.

Subtle Medical offers a robust, multi-modality portfolio across MRI, PET, and CT, and continues to invest heavily in research and development. Our team includes leading radiologists, scientists, and engineers from top institutions such as Stanford, Harvard, and MIT, as well as industry veterans from GE, Philips, and Siemens.

Recognized by TIME as one of the World’s Top HealthTech Companies (2025) and named to CB Insights’ GenAI 50, Digital Health 150, and AI 100, Subtle Medical is helping shape the future of medical imaging. Today, our solutions are deployed on over 1,000 scanners worldwide, supporting hospitals and imaging centers in delivering faster scans, improved diagnostic quality, and better patient care.

We are hiring:

Senior Platform Engineer: https://subtlemedical.com/careers/senior-platform-engineer/

Machine Learning Software Engineer: https://subtlemedical.com/careers/machine-learning-software-...

We build AI-assisted auditory training for people with hearing loss. Our product is live, in clinics, and growing internationally.

Backend Engineer: Postgres-heavy work on Supabase: PL/pgSQL functions, pgmq queues, Deno edge functions, billing and cron systems. You like databases enough to enjoy writing triggers and RLS policies, and you want to own systems end-to-end rather than just ship tickets.

QA Specialist: Manual testing of our iOS/Android app and web tools, working alongside our head of QA on a clinical product where data quality, platform stability, and accessibility are critical to our mission.

Note: Candidates must be in time zones no further west than EST; Western Europe is fine.

If interested, contact travis AT neurotone.com. Join us in making a difference!

ParadeDB is a Postgres extension that delivers state-of-the-art search in Postgres. Our customers, including Alibaba Cloud, BILT Rewards, Modern Treasury (YC S18), and many others, rely on us to deliver the performance and feature set of dedicated vector databases/Elasticsearch natively in Postgres, simplifying their stack and day-to-day operations.

If you like systems, this might be for you. We're a team of 10, a Series A company based in SF but distributed across North America. We're hiring for database internals work (e.g., building the database in Rust) and distributed systems work (e.g., building the database-as-a-service platform in Go).

We're open-source at https://github.com/paradedb/paradedb.

Our technical blog: https://www.paradedb.com/blog

More info on roles: https://paradedb.notion.site/

Axle Health builds scheduling and workforce management software to empower in-home healthcare providers to deliver exceptional, personalized care right where patients feel most comfortable—at home.

Hiring: hands on builders who thrive on in person collaboration. Ideal Senior SWE candidates have 8+ years of experience working with complex mission critical platforms.

Apply at: https://www.axlehealth.com/careers#jobSection

CoVar is a small R&D company specializing in machine learning and software development for defense and healthcare. We're looking for a jack-of-all-trades who can: prototype computer vision algorithms, build Python web services, wrangle large sets of data from disparate classes of sensors, ... any or all, with the only hard requirement being eagerness to learn.

Visit covar.com for more information on our current openings!