Software Engineer
Flexion Robotics
Software Engineer
Flexion Robotics
Humanoid-robotics AI brain for autonomy
Flexion Robotics · San Francisco, United States · Full-time · Posted 2026-10-08
Workplace: on_site
Department: Software Engineering
At Flexion, we are building the autonomy stack for humanoid robots. Our mission is to spearhead the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. In just months, we went from our first line of code to deploying real humanoid capabilities with our customers, leveraging simulation and reinforcement learning. Today, we are rapidly expanding the capabilities of our autonomy stack and are growing our customer base and team faster than ever.
As a Software Engineer in Flexion’s experienced infrastructure team you will build the platforms, tooling and infrastructure that power Flexion’s AI stack. This is a senior role with significant scope and ownership. You will work on a range of topics, taking projects from inception to completion, with collaboration and influence across the company. The infrastructure team owns Flexion’s state-of-the-art platforms, spanning in-house robotics frameworks for deployment, orchestration and networking, customer-facing applications, telemetry, SDKs, ML and data infrastructure, AI productivity tooling, and more. A core responsibility of this specific opening is to enable the growing scale and scope of our deployments by expanding our internal robot deployment tooling as well as our customer-facing tools and platforms.
One or more of the following skills are a plus
Zurich
San Franciso
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Humanoid-robotics AI brain for autonomy
Flexion Robotics builds the AI brain for humanoid robots, enabling autonomy by letting robots understand natural-language tasks, plan motions, and control their bodies through reinforcement learning and sim-to-real training. Its stack includes a command layer that uses language models for task decomposition, a motion layer with vision-language-action models trained largely on synthetic data, and a low-latency whole-body control layer with modular skills. The company differentiates itself with an ETH Zurich–trained engineering team and a full-stack approach that covers language, motion, and real-time control, plus active funding and OEM partnerships. Its goal is to enable useful, widespread autonomy for humanoid robots by partnering with original equipment manufacturers to scale robot fleets and establish a US presence.
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