Arm
Staff Robotics Engineer
$209K–$283K
Seattle, Washington · Staff · Full-time · Posted Sep 9, 2026
- Experience
- 6+ years in robotics, autonomous systems, or embedded software; 3+ years leading robotics-stack architecture or integration.
- Visa sponsorship
- Relocation package, including visa sponsorship assistance, is offered for candidates who need it.
About the job
Designs and leads robotics software architecture and platform integration for reliable, autonomous, on-device systems running on Arm-powered products.
What you'll do
- Architect and integrate robotics software spanning sensors, state estimation, planning, control, middleware, operating systems, and hardware accelerators.
- Build developer APIs, SDKs, testing workflows, and diagnostic tools; optimize real-time performance, reliability, and safety.
- Lead cross-stack technical work, mentor engineers, and collaborate with internal teams, partners, and customers.
What they ask for
- 6+ years designing and building robotics, autonomous systems, or embedded software used in real-world environments.
- Proficiency in modern C++ and Python, with strong software design, debugging, and code-quality practices.
- Strong understanding of robotics middleware and communication patterns (including ROS 2 or comparable systems), coordinate frames, timing, calibration, Linux-based and real-time systems, concurrency, IPC, and distributed component lifecycles.
- 3+ years leading architecture or integration across multiple parts of a robotics stack; strong algorithms, data structures, numerical methods, performance optimization, and cross-layer debugging skills.
Nice to have
- Experience with navigation, manipulation, motion planning, simulation, or automated robotics testing.
- Familiarity with embedded AI/perception inference, heterogeneous computing, functional safety, or open-source robotics contributions.
Pay
$209,100-$282,900 per year (base salary)
Tools
C++, Python, ROS 2, Linux
AI focus
Builds Physical AI systems and enables robotics and AI workloads to run reliably and autonomously on-device; may involve embedded or edge AI and perception inference pipelines.
Model-written summary · the original posting is authoritative