Controls Engineer

About the role

Company Overview

Reflex Robotics builds general-purpose, AI-powered humanoid robots for the toughest jobs in industry.

We’re focused on jobs that are genuinely hard on the human body: lifting 40-pound bags of dog food, loading boxes for an entire shift, and moving heavy materials from floor to high overhead shelves. Not just lightweight tasks in controlled environments. Actual, back-breaking work.

Factory and warehouse work demands more. The hardware needs strength, reach, precision, speed, and the battery life to be useful across multiple shifts. It also needs to deliver a clear return today, not in some hypothetical future. Our robot costs $32K at development volumes today.

We build the full robot stack ourselves, from cameras and compute to actuators, electronics, and software. Our custom-built supervision stack helps handle the hard parts of deployment, from real floor variability to keeping work moving without line disruption. That supervision also generates proprietary real-world data that helps improve autonomy over time.

We are a four year old startup backed by Khosla Ventures and a team of other great investors. Our team includes alumni from Anduril, Oculus, Amazon, Waymo, Skydio, Boston Dynamics, ASML, MIT, Jane Street, and Joby Aviation.

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Key Company Beliefs

- We are obsessed with shipping robots.

- A humanoid robot is only valuable if it solves a real customer problem. Cool demos are fun, but reliable work is what matters.

- Low cost is what makes widespread deployment possible.

- High-quality, proprietary robotics data is the foundation of the next generation of physical AI.

- Getting nerd-sniped by an engineering metric is way less important than solving our customers’ biggest pain points.

What We’re Looking For

We are looking for controls engineers to join our team!

We’re still a small team—which means high ownership, high equity, and the chance to shape the product from the ground up.

You should strongly consider applying if:

- You’ve controlled the motion of real-world hardware before, not just in simulation—e.g., nanometer-scale control of EUV lithography machines, or making a quadruped do a backflip

- You like to understand the entire system you’re working with—e.g., you care about details like time-sync between two processors, or the stiffness properties of the mechanical assembly

- You have a good understanding of model predictive control, nonlinear optimization, sensor fusion strategies

- You pride yourself on writing robust code that others can trust for years

We primarily use C++, with some Python for prototyping. We don’t use ROS.

You’d be joining a company that already has a solid core business—with working hardware, delighted customers, and profitable unit economics. Reflex is de-risked enough to see the hazy outlines of success, but still small enough that there’s enormous upside up for grabs.