
How to Actually Get Hired
Who reads applications, which channel gets a reply, and what they screen for.
Don't make these mistakes
Vague interest in "robotics" or "physical AI." The team is technically rigorous. Harry and Colton (ex-Google DeepMind) will notice immediately if you are speaking in generalities. Be specific about what you have built, what environment it ran in, and what the sim-to-real failure mode was.
What gets their attention
Shyam Sankar (Palantir CTO) is an angel investor. Sankar does not make casual bets. Palantir's core product is the infrastructure layer that allows government and enterprise operators to act on complex data in real time. His investment thesis here is legible: Antioch is building the infrastructure layer for physical AI in the same way Palantir built the infrastructure layer for data intelligence. He expects the platform to serve defence, national security, and industrial customers alongside commercial robotics teams, which is consistent with what co-founders Harry Mellsop and Alex Langshur have said publicly about the national security angle. Adrian Macneil's angel check is equally revealing. Macneil founded Foxglove, the leading robotics data visualization and debugging tool. He is not a generalist investor. He put money in because he sees Antioch as the missing simulation layer in the stack that Foxglove already serves. Together, they are building toward the GitHub and Stripe ecosystem of physical AI developer tools. That ecosystem framing is what shapes the hiring: Antioch is building for developer experience first, which means product, infrastructure, and robotics engineering are the dominant roles. The careers page has no listed roles but says explicitly: reach out to founders@antioch.com. That is not a placeholder. That is an invitation to bypass the queue entirely.
Why applying the normal way doesn't work
Antioch runs an applicant tracking system, but hiring managers still work referrals first. A cold application to Antioch isn't dead, it's just fourth in line behind internal referrals, sourced candidates and recruiter pipelines.
Who to contact at Antioch
What to show them
The core product is a simulation environment. Building it requires deep knowledge of physics engines, sensor modelling (LiDAR, cameras, depth sensors), and the specific failure modes that cause sim-to-real gaps. As Antioch expands to support more robot types and environments, this is the first team that grows. Core skills: ROS2, physics simulation (Isaac Sim, Gazebo, or equivalent), sensor noise modelling, Python/C++, reinforcement learning for robotics, domain randomization techniques. Proof of work: Build or document a simulation environment for a specific edge case (a robot arm picking from a cluttered bin, a mobile robot navigating a reflective surface) and write a short analysis of where the sim-to-real gap is largest in that scenario and how you would reduce it. Even a written technical proposal counts more than silence here.
A cold email that works at Antioch
What Antioch screens for
Screening signal: Shyam Sankar (Palantir CTO) is an angel investor. Sankar does not make casual bets. Palantir's core product is the infrastructure layer that allows government and enterprise operators to act on complex data in real time. His investment thesis here is legible: Antioch is building the infrastructure layer for physical AI in the same way Palantir built the infrastructure layer for data intelligence. He expects the platform to serve defence, national security, and industrial customers alongside commercial robotics teams, which is consistent with what co-founders Harry Mellsop and Alex Langshur have said publicly about the national security angle. Adrian Macneil's angel check is equally revealing. Macneil founded Foxglove, the leading robotics data visualization and debugging tool. He is not a generalist investor. He put money in because he sees Antioch as the missing simulation layer in the stack that Foxglove already serves. Together, they are building toward the GitHub and Stripe ecosystem of physical AI developer tools. That ecosystem framing is what shapes the hiring: Antioch is building for developer experience first, which means product, infrastructure, and robotics engineering are the dominant roles. The careers page has no listed roles but says explicitly: reach out to founders@antioch.com. That is not a placeholder. That is an invitation to bypass the queue entirely.
A tailored CV beats a generic one. Use Antioch's job description language to clear filters.
Mistakes that kill applications
A recycled CV gets rejected fast at Antioch ( people). They notice.
Skip 'I'm looking for...' — start with Physical AI is the defining technology race of the 2020s and your specific angle on solving it.
The wait-and-hope strategy fails. Follow up on day five — response rates roughly double.
Frequently asked questions
How do I apply to Antioch?
Through the roles on our Antioch jobs page, or directly to the hiring manager if you can reach them. At null people, direct outreach outperforms the form.
Does Antioch respond to cold emails?
Not enough data yet on Antioch's cold email response rates.
Who is the hiring manager at Antioch?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at Antioch?
Typical applicant count for AI roles ( people): 100-250 in two weeks. Apply fast.
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