4 months ago
Base Salary
$250k - $338k/yr
Responsibilities
- Develop control algorithms, including MPC and optimal control, for complex robots.
- Integrate control systems with learning-based components in hierarchical architectures.
- Design safety mechanisms such as runtime assurance and constraint enforcement.
- Contribute to real-time system design under strict latency constraints.
- Enable system-level integration across machine learning, perception, and systems.
- Translate safety and control requirements into compute and architecture insights.
Requirements
- Strong background in control theory, robotics dynamics, and optimization.
- Experience with real-time or safety-critical systems.
- Proficiency in C++ and/or Python.
- Experience with robotic platforms and simulators.
- Publications in top-tier venues.
- Preferred experience with MPC, trajectory optimization, Control Barrier Functions, safety-constrained control, formal methods and verification, learning-based control, or high-DOF and humanoid robots.
Benefits
- Salary range of $249,900-$338,100 per year.
- Hybrid working arrangements determined by the team, with role-specific details provided during the application process.
- Competitive total reward package shared during recruitment and selection.
- Accommodations are available during the recruitment process.
About Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.