Engineer (Physical AI) - Ottawa, Canada
$65,500 - $82,000 USD yearly
Originally posted 30 September 2026 by the employer.
About the role
This role involves researching and developing physical AI dataflow algorithms, architectures, and virtual system models for humanoid robotics.
What you'll do
- Research, design, develop, and maintain end-to-end physical AI dataflows for humanoid robotics, connecting simulation, data generation, model training, evaluation, and deployment.
- Develop, deploy and evaluate algorithms and models for humanoid perception, motion planning, manipulation, and learning.
- Build humanoid simulations using MuJoCo, NVIDIA Isaac Sim, or comparable tools, including models of articulated hands, arms, sensors, and environments.
- Create and curate simulation and real-world datasets; define interfaces, schemas, synchronization methods, and quality checks for multimodal robotics data.
- Develop domain-randomization, synthetic-data, imitation-learning, reinforcement-learning, sim-to-real and real-to-sim workflows.
- Analyze model and controller behavior, establish performance metrics, identify failure modes, and document results.
What you'll need
- Bachelor’s degree with relevant experience, or an advanced degree, in Robotics, Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Strong experience in algorithm design and mathematical modeling for humanoid robots or other highly articulated robotic systems.
- Hands-on experience with MuJoCo, NVIDIA Isaac Sim, or similar physics-based robotics simulation platforms.
- Experience modeling and controlling humanoid hands and arms, including kinematics, dynamics, grasping, manipulation, trajectory generation, and contact rich interaction.
- Experience with data collection/teleop based sim2real and real2sim pipeline and framework.
- Experience developing robotics software and models in Python and/or C/C++ on Linux.
- Ability to design experiments, analyze model and controller performance, and communicate findings through clear technical documentation.
- Experience working with CPU- and GPU-based development environments and version-controlled software workflows.
Nice to have
- Experience with physical humanoid hand and arm manipulation.
Skills: physical AI dataflows, humanoid robotics, simulation, model training, reinforcement-learning, sim-to-real
This role has been open 0 days — well below the 72-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
72 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Renesas Electronics | All employers we track in this specialty (506 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 10 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 129 | 5961 · 145 employers |
| Median days open | 8 d | 72 d (−64 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Skills observed across this category: physical AI dataflows, humanoid robotics, simulation, model training, reinforcement-learning, sim-to-real
Who's hiring in this category
- Qualcomm · 106 open roles · median 105 d
- NVIDIA · 84 open roles · median 69 d
- AMD · 42 open roles · median 65 d
- Micron Technology · 29 open roles · median 55 d
- Mobileye · 20 open roles · median 68 d
- NXP Semiconductors · 15 open roles · median 58 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 1 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.