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.

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 develop custom servo actuators, compute, networking, cameras, sensors, and power electronics for our robots. These systems need to be performant, reliable, cost-effective, and tightly integrated with the rest of the robot.

We are looking for a senior to staff-level electrical engineer to own the robot’s power electronics and power distribution architecture. This includes the battery management system, bus voltage switching, e-stop integration, precharge, cabling, motor inverters, and EMI mitigation.

You will be responsible for defining requirements, making system-level architecture decisions, and taking designs from concept through bring-up, testing, and deployment. You will also work closely with junior engineers and external layout resources to execute designs.

Some of the problems you may work on include:

Miniaturizing motor drives by reducing bus capacitance and switching-stage size without sacrificing efficiency or creating EMI problems

Designing the power system safety architecture, including safe startup, shutdown, fault handling, and battery hot-swapping

Designing and validating a custom battery management system

Improving motor inverter performance, reliability, thermal performance, and packaging

Diagnosing and mitigating conducted and radiated EMI across the robot

We love engineers who have built systems they are genuinely proud of, whether that is a shipped product, a difficult technical project, or something they built outside of work.

Required Qualifications

Strong electrical engineering fundamentals

Deep experience designing power electronics systems, ideally in the ~48V range

Experience with motor inverters, motor drives, or similar high-current switching systems

Strong PCB design, board bring-up, test, and debug skills

Comfortable debugging power electronics with scopes, power supplies, current probes, and other lab equipment

Strong understanding of system-level tradeoffs across electrical, firmware, mechanical, thermal, and cost constraints

Ability to independently define technical requirements and make architecture and design decisions

Experience taking complex electrical designs from concept through prototype and validation

Strong communication skills and ability to lead technical work across multiple contributors

BS or higher in Electrical Engineering or a related field