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’re looking for stellar on-policy RL engineers to work on creating robust robot policies.
We’re still a small team - which means high ownership, high equity, and the chance to shape the product from the ground up.
VLAs and other great “base policies” for robotics achieve ~80% success rates, but in real robot deployments, it’s essential to achieve 99.99% success rates. We can’t ask our customers to tolerate our robots packing three socks into a bin instead of four, or swapping shipping labels between two packages - not even once!
You should apply for this role if:
- You’ve re-implemented core RL algorithms (SAC, DDPG) from scratch and can debug unstable gradients / tune hyperparameters correctly
- You’ve made meaningful intellectual contributions to sample-efficient RL algorithms (e.g., DreamerV3 and MuZero)
- You’ve shipped on-policy RL on hardware that learns in the real-world (e.g., for quadruped walking or drone racing)
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.
Come Join Us
This is a rare opportunity to help build a flagship robotics company from the ground up - and to do work that will truly matter, reshaping what people believe is possible in robotics.
We love to see the things you’ve worked on. Have a portfolio or insane project you’ve worked on? Share it. We’re looking for people who push past the status quo, are passionate at work and in their own time - we’re looking for people who want to win.