Senior Robotics Research Engineer
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to preserve all substantive information.
Let's extract sections:
- About the role: The introductory paragraph(s) before Responsibilities: "Arm is building a Robotics Research Lab in Austin to explore the technologies required to enable the next generation of intelligent, general-purpose robots! We are looking for a Senior Robotics Research Engineer with a strong research background in one or more areas of robotics and an interest in working across traditional disciplinary boundaries. Relevant areas include robot learning and embodied AI, perception and sensor fusion, planning and decision making, control and optimization, safety and formal methods, robot systems, and mechatronics! Our research is motivated by a fundamental question: what does it take to build robots that can act competently in the real world? Answering this requires advances within individual robotics capabilities, but also new ways of combining them into coherent intelligent systems. We are particularly interested in researchers who want to explore the interfaces between disciplines: learning and planning, perception and action, reasoning and control, safety and autonomy, software and hardware. This is a hands-on research role. You will develop new methods, implement them on real robotic platforms, and work with researchers across disciplines to build and evaluate complete robotic systems. The results will both advance the state of the art in robotics and help shape future Arm technologies for Physical AI."
That's substantive. Could be About the role.
- Responsibilities: list bullet points after "Responsibilities". Let's extract each bullet:
1. Conduct original research in one or more areas of robotics, such as machine learning and robot learning, perception, planning, control, optimization, safety, formal methods, robot systems, or mechatronics.
2. Develop new methods for enabling intelligent robots to perceive, reason, plan, learn, and act in complex real-world environments.
3. Explore how robotic capabilities can be composed and integrated into coherent, hierarchical and adaptive systems.
4. Investigate new architectures and abstractions for combining classical robotics, learning-based methods, foundation models, and agentic AI.
5. Build, integrate, and evaluate research prototypes on real robotic platforms and in simulation.
6. Work across traditional research boundaries, collaborating with researchers in ML, perception, planning, control, systems, and compute architecture.
7. Identify system-level bottlenecks and translate robotics research insights into requirements and opportunities for future compute and software platforms.
8. Publish research at leading robotics, AI, and systems venues and engage with the broader research community.
9. Contribute to new research directions and the technical roadmap of Arm’s Robotics Research Lab.
10. Collaborate across Arm and with external research and industry partners.
We need to put these in
- .
- Required Skills And Experience: list bullet points.
Extract:
- PhD or equivalent research experience in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Machine Learning, or a related field.
- Strong research expertise in at least one area relevant to intelligent robotic systems.
- Demonstrated ability to formulate and solve open-ended research problems.
- Experience implementing and evaluating algorithms on robotic systems, relevant physical systems, or high-fidelity simulation.
- Strong programming skills in C++ and/or Python.
- Ability and interest to work across disciplinary boundaries and integrate research into larger robotic systems.
- Publications in leading robotics, AI, controls, or systems venues, or equivalent evidence of research impact.
- Ability to independently execute research projects while collaborating effectively within a multidisciplinary team.
We'll put as list.
- Nice To Have Skills And Experience: list bullet points.
Extract bullet points (starting with "Experience in multiple areas below is particularly valued:" then list). Let's list each:
- Robot learning, reinforcement learning, imitation learning, or embodied AI.
- Vision-language-action models (VLAs), vision-language models (VLMs), world models, diffusion models, or other foundation models for robotics.
- Task and motion planning, search, optimization, or decision making under uncertainty.
- Robot control, whole-body control, MPC, trajectory optimization, adaptive or learning-based control.
- Robotics perception, SLAM, sensor fusion, semantic mapping, spatial reasoning, or multi-modal sensing.
- Safety-critical robotics, runtime assurance, Control Barrier Functions, formal methods, verification, or specification-driven behavior.
- Robotics middleware, distributed systems, real-time systems, or end-to-end robot software architectures.
- Manipulation, locomotion, humanoid robotics, mobile robotics, or multi-robot systems.
- Mechatronics, sensing, actuation, hardware/software integration, or robot bring-up.
- Heterogeneous and embedded compute, including CPU/GPU/NPU/MCU platforms.
- Experience taking research from simulation to real robotic systems.
- Background spanning both research and production robotics.
We'll list.
- In Return: paragraph: "You will help define how robotic systems are made safe, reliable, and controllable—shaping both Arm’s research direction and the architectures that will power robots at global scale." Also maybe the line "#LS-KS1" is internal code; we can drop as boilerplate? It's not substantive; we can drop.
- Salary Range: "$161,500-$218,500 per year". We'll put in Pay section.
- Hybrid Working: paragraph about hybrid working approach. It's substantive. Should we include as section? The instruction: Prefer a few substantive sections over many thin ones. Could include a section "Hybrid Working". It's specific content. We'll include.
- Accommodations at Arm: paragraph about accommodations. Also substantive. Could include as section "Accommodations". Might be okay.
- Equal Opportunities at Arm: boilerplate EEO; we must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. So we drop that.
Also we need to include metadata like Job ID, Date posted, Location, Category maybe as short p at top.
We must not repeat job title as heading.
We must not include Pay/Schedule/Benefits unless stated. Pay we have. Schedule not stated. Benefits not specific.
Thus sections: About the role, Responsibilities, Required Skills And Experience, Nice To Have Skills And Experience, In Return, Pay, Hybrid Working, Accommodations at Arm.
We need to use
for each heading.
We need to ensure we don't create empty sections.
Now produce HTML fragment.
Let's craft:
Job ID 2026-19437 • Posted 21/09/2026 • Austin, Texas • Category: Architecture - Engineers
Then About the role
...
Then Responsibilities
- ...
Then Required Skills And Experience
...
Then Nice To Have Skills And Experience
...
Then In Return
...
Then
Pay
Salary Range $161,500-$218,500 per year
Then Hybrid Working
... (the paragraph)
Then Accommodations at Arm
... (the paragraph)
Make sure to preserve all content exactly, but we can trim extra spaces.
Let's copy the paragraphs verbatim.
About the role paragraph: Need to copy exactly as in posting (excluding the initial "Job ID..." line). Let's extract:
"Arm is building a Robotics Research Lab in Austin to explore the technologies required to enable the next generation of intelligent, general-purpose robots! We are looking for a Senior Robotics Research Engineer with a strong research background in one or more areas of robotics and an interest in working across traditional disciplinary boundaries. Relevant areas include robot learning and embodied AI, perception and sensor fusion, planning and decision making, control and optimization, safety and formal methods, robot systems, and mechatronics! Our research is motivated by a fundamental question: what does it take to build robots that can act competently in the real world? Answering this requires advances within individual robotics capabilities, but also new ways of combining them into coherent intelligent systems. We are particularly interested in researchers who want to explore the interfaces between disciplines: learning and planning, perception and action, reasoning and control, safety and autonomy, software and hardware. This is a hands-on research role. You will develop new methods, implement them on real robotic platforms, and work with researchers across disciplines to build and evaluate complete robotic systems. The results will both advance the state of the art in robotics and help shape future Arm technologies for Physical AI."
Make sure to keep exclamation marks.
Responsibilities bullets: need to keep punctuation.
Let's list each bullet exactly as in posting:
- Conduct original research in one or more areas of robotics, such as machine learning and robot 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.
- Work across traditional research boundaries, collaborating with researchers in ML, perception, planning, control, systems, and compute architecture.
- Identify system-level bottlenecks and translate robotics research insights into requirements and opportunities for future compute and software platforms.
- Publish research at leading robotics, AI, and systems venues and engage with the broader research community.
- Contribute to new research directions and the technical roadmap of Arm’s Robotics Research Lab.
- Collaborate across Arm and with external research and industry partners.
Note: there is a period after each bullet.
Required Skills And Experience bullets:
- PhD or equivalent research experience in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Machine Learning, or a related field.
- Strong research expertise in at least one area relevant to intelligent robotic systems.
- Demonstrated ability to formulate and solve open-ended research problems.
- Experience implementing and evaluating algorithms on robotic systems, relevant physical systems, or high-fidelity simulation.
- Strong programming skills in C++ and/or Python.
- Ability and interest to work across disciplinary boundaries and integrate research into larger robotic systems.
- Publications in leading robotics, AI, controls, or systems venues, or equivalent evidence of research impact.
- Ability to independently execute research projects while collaborating effectively within a multidisciplinary team.
Nice To Have bullets:
- Experience in multiple areas below is particularly valued: Robot learning, reinforcement learning, imitation learning, or embodied AI.
- Vision-language-action models (VLAs), vision-language models (VLMs), world models, diffusion models, or other foundation models for robotics.
- Task and motion planning,
for prose. We need to preserve all substantive information. Let's extract sections: - About the role: The introductory paragraph(s) before Responsibilities: "Arm is building a Robotics Research Lab in Austin to explore the technologies required to enable the next generation of intelligent, general-purpose robots! We are looking for a Senior Robotics Research Engineer with a strong research background in one or more areas of robotics and an interest in working across traditional disciplinary boundaries. Relevant areas include robot learning and embodied AI, perception and sensor fusion, planning and decision making, control and optimization, safety and formal methods, robot systems, and mechatronics! Our research is motivated by a fundamental question: what does it take to build robots that can act competently in the real world? Answering this requires advances within individual robotics capabilities, but also new ways of combining them into coherent intelligent systems. We are particularly interested in researchers who want to explore the interfaces between disciplines: learning and planning, perception and action, reasoning and control, safety and autonomy, software and hardware. This is a hands-on research role. You will develop new methods, implement them on real robotic platforms, and work with researchers across disciplines to build and evaluate complete robotic systems. The results will both advance the state of the art in robotics and help shape future Arm technologies for Physical AI." That's substantive. Could be About the role. - Responsibilities: list bullet points after "Responsibilities". Let's extract each bullet: 1. Conduct original research in one or more areas of robotics, such as machine learning and robot learning, perception, planning, control, optimization, safety, formal methods, robot systems, or mechatronics. 2. Develop new methods for enabling intelligent robots to perceive, reason, plan, learn, and act in complex real-world environments. 3. Explore how robotic capabilities can be composed and integrated into coherent, hierarchical and adaptive systems. 4. Investigate new architectures and abstractions for combining classical robotics, learning-based methods, foundation models, and agentic AI. 5. Build, integrate, and evaluate research prototypes on real robotic platforms and in simulation. 6. Work across traditional research boundaries, collaborating with researchers in ML, perception, planning, control, systems, and compute architecture. 7. Identify system-level bottlenecks and translate robotics research insights into requirements and opportunities for future compute and software platforms. 8. Publish research at leading robotics, AI, and systems venues and engage with the broader research community. 9. Contribute to new research directions and the technical roadmap of Arm’s Robotics Research Lab. 10. Collaborate across Arm and with external research and industry partners. We need to put these in
- .
- Required Skills And Experience: list bullet points.
Extract:
- PhD or equivalent research experience in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Machine Learning, or a related field.
- Strong research expertise in at least one area relevant to intelligent robotic systems.
- Demonstrated ability to formulate and solve open-ended research problems.
- Experience implementing and evaluating algorithms on robotic systems, relevant physical systems, or high-fidelity simulation.
- Strong programming skills in C++ and/or Python.
- Ability and interest to work across disciplinary boundaries and integrate research into larger robotic systems.
- Publications in leading robotics, AI, controls, or systems venues, or equivalent evidence of research impact.
- Ability to independently execute research projects while collaborating effectively within a multidisciplinary team.
We'll put as list.
- Nice To Have Skills And Experience: list bullet points.
Extract bullet points (starting with "Experience in multiple areas below is particularly valued:" then list). Let's list each:
- Robot learning, reinforcement learning, imitation learning, or embodied AI.
- Vision-language-action models (VLAs), vision-language models (VLMs), world models, diffusion models, or other foundation models for robotics.
- Task and motion planning, search, optimization, or decision making under uncertainty.
- Robot control, whole-body control, MPC, trajectory optimization, adaptive or learning-based control.
- Robotics perception, SLAM, sensor fusion, semantic mapping, spatial reasoning, or multi-modal sensing.
- Safety-critical robotics, runtime assurance, Control Barrier Functions, formal methods, verification, or specification-driven behavior.
- Robotics middleware, distributed systems, real-time systems, or end-to-end robot software architectures.
- Manipulation, locomotion, humanoid robotics, mobile robotics, or multi-robot systems.
- Mechatronics, sensing, actuation, hardware/software integration, or robot bring-up.
- Heterogeneous and embedded compute, including CPU/GPU/NPU/MCU platforms.
- Experience taking research from simulation to real robotic systems.
- Background spanning both research and production robotics.
We'll list.
- In Return: paragraph: "You will help define how robotic systems are made safe, reliable, and controllable—shaping both Arm’s research direction and the architectures that will power robots at global scale." Also maybe the line "#LS-KS1" is internal code; we can drop as boilerplate? It's not substantive; we can drop.
- Salary Range: "$161,500-$218,500 per year". We'll put in Pay section.
- Hybrid Working: paragraph about hybrid working approach. It's substantive. Should we include as section? The instruction: Prefer a few substantive sections over many thin ones. Could include a section "Hybrid Working". It's specific content. We'll include.
- Accommodations at Arm: paragraph about accommodations. Also substantive. Could include as section "Accommodations". Might be okay.
- Equal Opportunities at Arm: boilerplate EEO; we must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. So we drop that.
Also we need to include metadata like Job ID, Date posted, Location, Category maybe as short p at top.
We must not repeat job title as heading.
We must not include Pay/Schedule/Benefits unless stated. Pay we have. Schedule not stated. Benefits not specific.
Thus sections: About the role, Responsibilities, Required Skills And Experience, Nice To Have Skills And Experience, In Return, Pay, Hybrid Working, Accommodations at Arm.
We need to use
for each heading. We need to ensure we don't create empty sections. Now produce HTML fragment. Let's craft:
Job ID 2026-19437 • Posted 21/09/2026 • Austin, Texas • Category: Architecture - Engineers
ThenAbout the role
...
ThenResponsibilities
- ...
Required Skills And Experience
- ...
Then
Nice To Have Skills And Experience
- ...
Then
In Return
... Then
Pay
Salary Range $161,500-$218,500 per year
ThenHybrid Working
... (the paragraph)
ThenAccommodations at Arm
... (the paragraph)
Make sure to preserve all content exactly, but we can trim extra spaces. Let's copy the paragraphs verbatim. About the role paragraph: Need to copy exactly as in posting (excluding the initial "Job ID..." line). Let's extract: "Arm is building a Robotics Research Lab in Austin to explore the technologies required to enable the next generation of intelligent, general-purpose robots! We are looking for a Senior Robotics Research Engineer with a strong research background in one or more areas of robotics and an interest in working across traditional disciplinary boundaries. Relevant areas include robot learning and embodied AI, perception and sensor fusion, planning and decision making, control and optimization, safety and formal methods, robot systems, and mechatronics! Our research is motivated by a fundamental question: what does it take to build robots that can act competently in the real world? Answering this requires advances within individual robotics capabilities, but also new ways of combining them into coherent intelligent systems. We are particularly interested in researchers who want to explore the interfaces between disciplines: learning and planning, perception and action, reasoning and control, safety and autonomy, software and hardware. This is a hands-on research role. You will develop new methods, implement them on real robotic platforms, and work with researchers across disciplines to build and evaluate complete robotic systems. The results will both advance the state of the art in robotics and help shape future Arm technologies for Physical AI." Make sure to keep exclamation marks. Responsibilities bullets: need to keep punctuation. Let's list each bullet exactly as in posting: - Conduct original research in one or more areas of robotics, such as machine learning and robot 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. - Work across traditional research boundaries, collaborating with researchers in ML, perception, planning, control, systems, and compute architecture. - Identify system-level bottlenecks and translate robotics research insights into requirements and opportunities for future compute and software platforms. - Publish research at leading robotics, AI, and systems venues and engage with the broader research community. - Contribute to new research directions and the technical roadmap of Arm’s Robotics Research Lab. - Collaborate across Arm and with external research and industry partners. Note: there is a period after each bullet. Required Skills And Experience bullets: - PhD or equivalent research experience in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Machine Learning, or a related field. - Strong research expertise in at least one area relevant to intelligent robotic systems. - Demonstrated ability to formulate and solve open-ended research problems. - Experience implementing and evaluating algorithms on robotic systems, relevant physical systems, or high-fidelity simulation. - Strong programming skills in C++ and/or Python. - Ability and interest to work across disciplinary boundaries and integrate research into larger robotic systems. - Publications in leading robotics, AI, controls, or systems venues, or equivalent evidence of research impact. - Ability to independently execute research projects while collaborating effectively within a multidisciplinary team. Nice To Have bullets: - Experience in multiple areas below is particularly valued: Robot learning, reinforcement learning, imitation learning, or embodied AI. - Vision-language-action models (VLAs), vision-language models (VLMs), world models, diffusion models, or other foundation models for robotics. - Task and motion planning,