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Salary
$140k – $220k per year
Location
In office (San Francisco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Aug 27, 2026.

Overview
Company
Impact
Profile match
Anthrogen is building the network behind biological intelligence. We are an AI-research lab building a complete networkfor biologics discovery and development. So far, we've built the bestprotein generation engine, Odyssey, which can reason across modalities.

Robotics Engineer - Early Team (SF)

We’re a seed-stage team in San Francisco building robotic systems to automate real-world lab workflows. Most lab processes today are still manual, slow, and error-prone.

Our goal is to build a fully autonomous, “black-box” lab - systems that can take in high-level inputs and run physical workflows end-to-end without human intervention.

We’re not there yet. The system is still evolving, and a big part of this role is figuring out what actually works and making it reliable.

What you’ll do

  • Design and build mechanical and electromechanical subsystems
  • Write the code that actually runs the system (control logic, sequencing, hardware interfaces)
  • Bring up new hardware and get it working end-to-end
  • Debug failures across the full system - mechanical, electrical, and software
  • Iterate until systems are stable and repeatable, not just working once

Required

  • You’ve built and delivered at least one complex physical system with real ownership
  • You’re comfortable writing code that interfaces directly with hardware
  • Strong ability in at least one area:
    • Mechanical design
    • Controls
    • Embedded / systems programming
  • Experience working with motors, sensors, and power in a real system
  • Good at solving unexpected problems

Preferred

  • Experience building systems that had to run reliably over time, not just demos
  • Experience integrating multiple subsystems into a working system
  • Prior startup, lab, or independent build experience

What this role requires

  • Ownership - you will be responsible for real parts of the system
  • Comfort with ambiguity - we are still figuring things out
  • Speed - we build and iterate quickly

Details

  • San Francisco (in-person)
  • Compensation: $140k-$220k + equity
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