Senior Robotics Research Engineer – Hybrid Lab

Arm; Austin (TX); Hybrid; USD 162,000 - 219,000; Full time

Benefits offered by this job

Hybrid working

Recruitment accommodations

Job summary

Arm is building a Robotics Research Lab in Austin, TX, seeking a Senior Robotics Research Engineer to advance intelligent robotic systems across learning, perception, planning, and control. The role emphasizes hands-on development on real platforms and in simulation, with collaboration across ML, perception, planning, control, and hardware teams.

The candidate should have a PhD or equivalent, strong publication record, and ability to translate research into scalable architectures.

Qualifications

• PhD or equivalent research experience in Robotics or related field.
• Strong research expertise in at least one robotics area.
• Experience implementing and evaluating algorithms on robotic systems or high-fidelity simulation.
• Publications in robotics or AI venues or evidence of research impact.

Responsibilities

• Conduct original research in robotics areas such as machine learning, perception, planning, control, optimization, safety, formal methods, robot systems, or mechatronics.
• Develop new methods for enabling intelligent robots to perceive, reason, plan, learn, and act in complex real-world environments.
• Explore how robotic capabilities can be composed and integrated into coherent, hierarchical and adaptive systems.
• Investigate new architectures and abstractions for combining classical robotics, learning-based methods, foundation models, and agentic AI.
• Build, integrate, and evaluate research prototypes on real robotic platforms and in simulation.

Skills

C++

Python

Publications

Interdisciplinary collaboration

Research leadership

Education

PhD in Robotics or related field

Job description

Arm is building a Robotics Research Lab in Austin, TX, seeking a Senior Robotics Research Engineer to advance intelligent robotic systems across learning, perception, planning, and control. The role emphasizes hands-on development on real platforms and in simulation, with collaboration across ML, perception, planning, control, and hardware teams.

The candidate should have a PhD or equivalent, strong publication record, and ability to translate research into scalable architectures.