Autonomous Sensing Jobs

cloud, hybrid, on-prem) and regions Drive engineering decisions around scalable data ingestion, indexing, storage, and retrieval for high-volume autonomous

Diagnostics: Implement robust hardware diagnostics to monitor the health of the compute and sensing backbone in real-time.

Improve the fidelity and accuracy of synthetic simulations by developing and refining Machine Learning (ML) and physical models of sensing systems

Your work will directly shape how the largest OEMs in the world develop the next generation of data-driven autonomous vehicles.

The habit of diagnosing failures with controlled experiments across data, sensing, model, and execution.

You have a "sixth sense" for tracking down ground loops, EMI noise, and intermittent signal integrity issues.

robots or autonomous vehicles.

If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied is the place for you!

Familiarity with computer vision, 3D reconstruction (e.g., Gaussian Splatting), or sensor simulation (camera, LiDAR, radar) Experience with autonomous

Tactile Sensing: Experience integrating tactile/haptic feedback into manipulation pipelines.

foreign equivalent in Computer Science, Electrical Engineering, or related At least 12 months of experience in a firmware engineer role with an autonomous

and semi-autonomous heavy machinery.

Your work will directly shape how the largest OEMs in the world develop the next generation of data-driven autonomous vehicles.

someone who has: 3+ years of experience in data science, data engineering, systems engineering, V&V, or a related role in ADAS, autonomous

Vehicles, Automotive, or Aerospace Technologies Professional experience in autonomous driving or robotics industry with at least one of the following