Lead the design of integrated robotic systems managing system architectures and driving milestones from initial development to full integration collaborating with teams across disciplines.

Arm is extending its "Arm everywhere" vision into robotics and embodied AI where intelligence must operate under real-world constraints of latency power and safety.
We are building a new robotics research lab in Austin focused on the science of integration understanding how different paradigms (learning control planning) work together in real robotic systems and how they map onto heterogeneous compute.
Overview:
This role sits at the core of the lab's mission: defining and building integrated robotic systems that bring together diverse forms of intelligence under real-world constraints.
You will lead the design and realization of end-to-end robotic systems across multiple embodiments driving the lab's system-level milestones-from initial bring-up through fully integrated demonstrations. This includes orchestrating capabilities across time compute and system layers and translating insights into requirements for next-generation Arm architectures.
Responsibilities:

• Define system architectures that integrate perception reasoning planning and control
• Lead end-to-end system bring-up integration and validation across robotic platforms
• Drive execution of system-level milestones (baseline benchmarking prototypes full systems)
• Coordinate across ML perception control and systems to ensure coherent integration
• Translate system bottlenecks into requirements for Arm compute and software platforms
• Collaborate across Arm and external partners to ground research in real-world use cases

Required Skills and Experience :

• Strong experience in robotics systems integration and architecture
• Expertise in robotics middleware (e.g. ROS2) and distributed systems
• Experience building and deploying end-to-end robotic systems
• Strong programming skills (C++ and/or Python)
• Ability to lead cross-domain efforts in ambiguous research-driven environments
• Publications in top-tier venues

"Nice To Have" Skills and Experience :

• Experience with heterogeneous compute (CPU/GPU/NPU/MCU)
• Experience with multi-robot or distributed systems
• Background spanning both research and production systems

In Return:
You will help define how learning-based intelligence is realized and deployed in real robotic systems shaping both Arm's research direction and the architectures that will power robots at global scale!
#LS-KS1
Salary Range:
$308600-$417500 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at Arm
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Hybrid Working at Arm
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Equal Opportunities at Arm
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