Innolitics builds AI/ML software for medical devices — the kind that detects ear infections, tracks metastatic cancer, and plans radiation therapy. 60+ FDA clearances. We need engineers who want their work to matter. We're a remote-only firm (since 2012) that does engineering, regulatory, and cybersecurity under one roof. Our team includes MDs, PhDs, and software engineers. Clients range from Series A startups to large device companies. We're hiring for three roles:

1. Physician-Scientist (MD/PhD) — Biostatistics & AI Software Development MD + PhD in biostatistics, bioinformatics, epidemiology, or a related quantitative field. You'll design biostatistical plans for AI validation studies (MRMC, standalone, prospective), build production-grade statistical software and data pipelines, write FDA-facing statistical sections, and analyze large clinical imaging datasets. Fluent in Python and/or R. This is not a pure research role — you'll ship code that gets FDA-cleared and deployed in clinics.

2. Senior Web/Mobile Medical Device Engineer 5+ years SWE experience. 3+ years each in web and mobile. Fluent in TypeScript and Python. You'll build medical device software and produce FDA-facing technical documentation. Cross-functional role bridging engineering and regulatory teams.

3. Medical Device Software Engineer 3+ years SWE experience. Fluent in Python, C++, or TypeScript. Heavier emphasis on software development initially; you'll grow into regulatory documentation work over time. All roles involve writing production code for medical devices, authoring documentation for FDA submissions, and working directly with clients. No prior medical device experience required — we'll teach you. Why engineers stay here:

Agentic AI tools (Claude Code, etc.) are part of our workflow. We treat them as a impact multiplier, not a threat. ~1 hour of meetings/week for ICs. Flexible hours. 2 hours every Wednesday dedicated to learning ("10x Time"). Healthcare-only revenue. No debt. Never had a layoff. We pay $300 for take-home exercises because your time has value.

Stack: Python, TypeScript, C++, R, Django, React, TensorFlow, PyTorch, scikit-learn, Qt, Terraform.

Apply: https://innolitics.com/careers/

How we work (we publish our handbook): https://innolitics.com/about/handbook/

Finally, you can ask your leadership to give you time to pay back technical debt. And AI adoption is the reason why.

I have been seeing a pattern where leadership buys Copilot/Cursor licenses and expects immediate 10x gains, but the engineering team struggles to adopt them.

The thesis of this article is that AI acts as a throughput multiplier. If your codebase is clean (SOLID, DRY, explicit interfaces), AI accelerates you. If your codebase is spaghetti or relies on "tribal knowledge" (implicit context), AI just generates bugs faster than you can fix them.

I argue that "clean code" is no longer an aesthetic preference but a hard requirement for AI enablement, because AI agents effectively have no long-term memory of your project's history.

Curious if others are seeing this friction between "AI expectations" and "Legacy Code reality"?

Comments URL: https://news.ycombinator.com/item?id=46661557

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Remote: Yes

Willing to relocate: No

Technologies: PyTorch, MONAI, DICOM, HL7, medical device regulations

Resume/CV: https://www.linkedin.com/in/yujanshrestha/

Email: yshrestha@innolitics.com

I am an expert in AI/ML for medical devices. I can help with engineering and regulatory concerns.

Comments URL: https://news.ycombinator.com/item?id=34591155

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- Have some good code on GitHub

- Work for a startup, they are more likely to take chances on you

- Prefer working on-site if you can. Working remote is great once you have learned how to learn

Good luck with your search.

Comments URL: https://news.ycombinator.com/item?id=33431389

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Software is just a tall wedding cake of abstractions built on top of abstractions.