Object Detection

Torc Robotics

Full-time · Ann Arbor, MI · Remote

Lead the machine learning team building lidar and radar perception systems for autonomous trucks, managing both technical direction and people while balancing model performance against real-time compute constraints. Suits experienced ML managers comfortable with embedded systems complexity and collaborative cross-functional work.

Listed on Torc Robotics’s careers site · Apply there ↗

Shield AI

Full-time · Washington, DC · $77,200 – $211,200

Shield AI is hiring autonomous software engineers to work on real-time embedded systems for unmanned aircraft and autonomy software, developing in C++ and Python alongside experienced teammates. This role suits recent graduates interested in defense technology, autonomous systems, and hands-on software development with immediate real-world impact.

Listed on Shield AI’s careers site · Apply there ↗

Motional

Boston, MA · $172,000 – $229,000 · Remote

This role leads the development of perception systems for autonomous vehicles, focusing on large-scale machine learning models and real-time deployment to self-driving fleets. It suits experienced ML engineers who want to tackle complex computer vision challenges and mentor others at a company scaling towards commercial robotaxi operations.

Listed on Motional’s careers site · Apply there ↗

KLA-Tencor

Full-time · Milpitas, CA · $136,300 – $231,700

KLA seeks a deep learning engineer to advance computer vision and image processing for semiconductor manufacturing inspection systems. This role involves developing and optimizing state-of-the-art models across the full lifecycle, from conception through deployment, for a leader in process control technology.

Listed on KLA-Tencor’s careers site · Apply there ↗

Voyager

Full-time · El Segundo, CA · $120,000 – $170,000

This role develops deep learning and machine learning models for computer vision, radar, and geospatial applications serving U.S. government customers. It suits engineers with 0–5 years of experience who want to apply neural networks to real-world defense and space challenges.

Listed on Voyager’s careers site · Apply there ↗

NVIDIA

$184,000 – $287,500

NVIDIA is hiring a Senior Perception Engineer to develop 3D obstacle detection models for autonomous vehicles, working on camera, radar, and lidar fusion pipelines using modern deep learning architectures. This role suits experienced computer vision engineers who want to move perception systems from research to production at scale.

Listed on NVIDIA’s careers site · Apply there ↗

Metropolis Technologies

Full-time · Seattle, WA · $200,000 – $250,000

Metropolis seeks a hands-on senior manager to lead machine learning infrastructure and data engineering teams building production AI systems for a computer vision and parking technology platform. The role requires balancing strategic oversight of 4 teams with deep technical involvement in MLOps, data pipelines, and agentic AI deployment.

Listed on Metropolis Technologies’s careers site · Apply there ↗

Agility Robotics

Full-time · Fremont, CA · $207,000 – $323,000

A staff-level machine learning engineer role focused on building perception systems for deployed humanoid robots operating in warehouses and manufacturing. This position suits engineers with deep expertise in object detection and tracking who want to own the full technical architecture of computer vision systems deployed on real robots at scale.

Listed on Agility Robotics’s careers site · Apply there ↗

Voyager

El Segundo, CA · $160,000 – $210,000

This role involves developing deep learning and machine learning systems for computer vision, radar, and geospatial analysis to support U.S. government defense and national security missions. It suits experienced ML engineers comfortable with physics-based signal processing, neural network architectures, and working in a small, mission-driven environment.

Listed on Voyager’s careers site · Apply there ↗

Torc Robotics

Full-time · Ann Arbor, MI · $177,300 – $212,800 · Remote

This role leads the development of high-quality training datasets for Torc's vision-language and end-to-end autonomous driving models, converting petabytes of fleet sensor data into labeled datasets that drive model performance. It suits experienced ML engineers who combine deep expertise in computer vision, multimodal models, and distributed data systems with the judgment to own a critical technical pipeline and mentor others.

Listed on Torc Robotics’s careers site · Apply there ↗