About the job
About Flexion Robotics:
At Flexion Robotics, we are pioneering the intelligence layer that will drive the next generation of humanoid robots. Our mission is to expedite the transition from delicate prototypes to fully operational humanoid systems in real-world applications. Founded by distinguished scientists in robot reinforcement learning (including ex-Nvidia and ex-ETH Zürich), we are supported by leading international venture capital firms. In just a few months, we have evolved from writing our first line of code to successfully deploying real humanoid capabilities in collaboration with our partners. Discover more about us at flexion.ai.
The Role:
As a Robotics Field Application Engineer, you will be an integral part of our Engineering team, collaborating closely with R&D, Product, and our partners to enhance Flexion’s software across a variety of customer robot fleets. You will serve as the technical lead for key accounts, overseeing successful end-to-end integrations by leading on-site deployments, ensuring optimal performance, and acting as the technical liaison between our engineering team and real-world customer operations.
Key Responsibilities:
- Serve as the technical owner for key customer accounts, ensuring stable and successful integrations of Flexion’s software stack on customer robots.
- Lead on-site deployments at customer facilities, supporting the software lifecycle from initial setup to daily operations.
- Triage and resolve full-stack issues spanning software, hardware interfaces, and system integration, both remotely and on-site as necessary.
- Collaborate with R&D and Product teams to broaden deployments and facilitate customer rollouts.
- Document logs, failure modes, and field learnings, providing actionable feedback to engineering to drive product enhancements.
- Develop and maintain technical documentation, deployment runbooks, and operations manuals to promote customer self-sufficiency.
Requirements:
- Master's degree in Mechanical Engineering, Computer Science, Robotics, Electrical Engineering, or a related field.
- Strong proficiency in C++ and Python programming languages.
- Extensive experience with robotics hardware and software integration, particularly in troubleshooting real robotic systems.
- Proficiency in networking concepts (IPv4, TCP/IP, Subnetting) and Linux networking tools.
- Hands-on experience with perception sensors and pipelines (including mono and stereo cameras, LiDAR).
- Familiarity with embedded systems communication protocols (Ethernet, MIPI, I2C, SPI).
- Strong background in robotics middleware, particularly with ROS2 and DDS.
- Excellent communication skills, with the ability to manage customer expectations and articulate technical solutions effectively.
- Willingness to travel to customer sites as necessary (approximately 20% of the time).
- Familiarity with Deep Learning and Reinforcement Learning concepts is a plus.

