Originally posted 21 August 2026 by the employer.
About the role
This role is for new college graduates interested in Autonomous Vehicles and Robotics, focusing on developing and deploying Deep Neural Networks and embodied AI systems.
What you'll do
- Develop and train Deep Neural Networks for path generation in Autonomous Vehicles.
- Collect training datasets and real-time inference run-times using simulators/gyms.
- Build and deploy full-stack embodied AI systems for dexterous manipulation and whole-body control.
- Leverage NVIDIA Isaac, Omniverse, and Cosmos to bridge simulation and real-world deployment for robotics.
- Build and scale core simulation and training infrastructure on Isaac Sim and Isaac Lab.
- Integrate physical AI into NVIDIA's humanoid robot reference platform, bridging simulation and real-world deployment through perception, decision, and control pipelines.
What you'll need
- Expected to graduate in 2027 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field.
- Programming skills in C, C++, CUDA, ROS, Python, OpenGL, Linux.
- Experience with Sensor Input Devices (LiDAR, cameras, radars).
- Experience with Training Frameworks (TensorFlow, Keras, PyTorch).
- For Robotics roles, hands-on experience with robot simulation platforms (Isaac Sim/Lab, MuJoCo, Gazebo).
- Proven track record in sim-to-real and real-to-sim transfer.
Skills: Autonomous Vehicles, Robotics, Deep Neural Networks, Embodied AI, NVIDIA Isaac, sim-to-real
This role has been open 46 days — well below the 76-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
504
|
Median days open
76 d
|
Median salary
$230k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (504 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 85 | 504 |
| Open roles in the wider Software, Firmware & Systems family | 971 | 5996 · 146 employers |
| Median days open | 71 d | 76 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $230k |
Skills observed across this category: Autonomous Vehicles, Robotics, Deep Neural Networks, Embodied AI, NVIDIA Isaac, sim-to-real
Who's hiring in this category
- Qualcomm · 99 open roles · median 109 d
- NVIDIA (this employer) · 84 open roles · median 72 d
- AMD · 42 open roles · median 66 d
- Micron Technology · 30 open roles · median 58 d
- Mobileye · 18 open roles · median 73 d
- NXP Semiconductors · 15 open roles · median 63 d
How we counted: 504 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 6 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.