Posting record
Open 11+ days
- Kineticsystems' site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Kineticsystems, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
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Skills mentioned
About the role
Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.
We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.
The Role
As a Member of Technical Staff (Software Engineer) , you’ll be closely involved in all aspects of engineering, with a particular eye on building RL environments, translating research into deliverables and product, building out core infrastructure and back-end systems, and developing user-facing websites and APIs. We move at the speed of research (i.e. very fast), and you will need to as well!
Note: This is a full-time role, required to be in-person in SF.
What You’ll Do
- Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows
- Build websites and other applications
- Maintain customer-facing products
- Manage a team of developers
- Own internal tooling (data pipelines, dashboards, observability, etc.) that helps our research team move faster
- Translate research code into robust, scalable software
Who You Are
- 2+ years industry SWE experience
- Strong background in React, NextJS, Tailwind, and SQL
- Proficient in DevOps / CloudOps (e.g. Docker, Terraform, etc.)
- Familiar with RLEs, benchmarks, evals, and post-training
- Experience working with sensitive data (health, finance, etc.)
- Interested in healthcare as an application (prior background not necessary)
Why Us
If you join our team, you will be joining a team with...
- Founding-level impact and ownership
- An opportunity to advance AI research in one of its most meaningful application areas
- Competitive compensation and meaningful equity
- Unlimited PTO
- Comprehensive health, dental, and vision coverage
- 401(k)
- Free lunch + dinner
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