Ask HN: Who is hiring? (September 2026)

motan builds the equipment that feeds plastics processing - drying, mixing and conveying material into injection molding and extrusion machines. Our equipment runs in manufacturing worldwide.

We're hiring 4 C#/.NET developers.

Full job posting: https://www.motan-group.com/en/news/career/jobs/detail/softw...

I'm the architect of the software platform. My mail is in my profile - write me directly if you are interested or have questions.

About us: Fancy ETL pipeline which processes products from huge ecommerce companies. Data extraction and massage, delivery to destinations like Google/Meta/TikTok/etc. Profitable, 18+ yrs stable, 100% employee-owned. No VC, no pointless meetings, just serious coding.

Stack: Python/Django, JavaScript, VueJS/React, Docker, Git, PostgreSQL/Snowflake/DuckDB, Dagster, AWS + Strong agentic coding skills (Claude Code / Codex)

Compensation: $150K–$220K USD/year DOE.

You: 5+ yr senior dev who's seen (and fixed) enough dumpster-fire code to last a lifetime. Python/Django deeply internalized; solid JS skills and able to wrangle Vue/React. You rock backend data pipelines like old jeans: Dagster, Snowflake, DuckDB, Postgres - in the cloud or on your bitchin' VM rack. Docker and Git are second nature. You've embraced agentic coding while still keeping the bots from running the slop show. You play well with others and write code that's easy to live with. Bonus: building AI assistants with PydanticAI, Py2→Py3 migrations, CI/CD and DevOps chops.

Timezones: Primary time zone is PST (standups at 9AM PST). Generally async-friendly but you must reside in the United States and be geographically grounded.

Benefits: 401K match, healthcare/vision/dental, equity, fully remote. Stable company with no time-wasters.

Apply: email jobs+hn261 [the-at-mark-thing] versafeed [the-period-thing] 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 (Onsite):

* Software Engineer (with a passion for Systems, 60-100k EUR) * Infrastructure Engineer (engineering and corporate infrastructure, 50-90k) * Customer Success Engineer (50-90k)

For detailed job descriptions please and application process, please visit https://www.quobyte.com/company/careers or write to work at quobyte.com.

G-Research is a leading quant finance company. Big compute farm, interesting problems.

My team is hiring senior engineers to work on our (actually world class) DAG scheduling infra for distributing research and production workloads across the compute farm. What we do is roughly:

* maintain and improve the SDKs for that scheduler in Python, F#, and C#

* add interesting new features to the scheduler itself

* maintain and improve a web backend and UI for quants and engineers to monitor their jobs, increasingly with high availability requirements

* translate bidirectionally at the business level between low-level infra providers and quant/ML researchers

Some functional experience preferred, because our core product is in F#. Lots of dealing with very smart researchers and engineers, with the kind of fun problems arising when you run large ML workloads at scale.

patrick.stevens@gresearch.co.uk or my personal patrick+hackernews@patrickstevens.co.uk

Renaissance Philanthropy's aim is to activate a virtuous circle of increasing ambition and impact between philanthropists and innovators: by identifying frontier experts both in science and in new ways of solving problems; by tapping into the growing number of emerging philanthropists; and by building multi-sector initiatives that can harness the power of philanthropy, markets, and governments.

RenPhil's Engineering Hub supports mission-driven, grant-funded educational technology projects that seek to improve educational outcomes in fundamental skills like math and reading. This summer we're launching a program called LEVI Literacy, which has a goal of halving the number of struggling readers in the US within 5 years.

We're looking for an expert in modern voice AI to support this work. Our partner teams are building tools that assess and support early reading directly from children's speech in real classrooms — oral reading, spoken vocabulary tasks, whole-class instruction. These are hard, meaningful speech problems: young children's voices, noisy multi-speaker environments, and high stakes for getting it right — and fair — for every student.

We're looking for folks who:

- have built and operated production ASR or speech-processing systems

- know the full data-to-model pipeline: collection, annotation, fine-tuning, evaluation, and deployment

- can speak the languages of both research and engineering

- want to help create a world where all children learn to read well.

If this sounds like you, please apply!

https://www.renaissancephilanthropy.org/careers