Senior Perception Engineer - Autonomous Real-World Robotics

Atoms; San Francisco (CA); On-site; USD 208,000 - 245,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Equity

Job summary

Atoms is hiring a Perception Engineer to advance perception in autonomous machines used in real-world environments. You will work at the intersection of computer vision, ML, robotics, and systems engineering to transform sensor data into reliable environmental representations.

Responsibilities include designing and deploying perception models, multi-sensor fusion, and real-time optimization for resource-constrained robotic platforms.

Qualifications

• 3-5 years of relevant experience in perception systems and computer vision & ML models.
• Strong software engineering skills in Python and/or C++.
• Experience deploying ML models into real-time or safety-critical systems.
• Experience with camera, LiDAR, radar, IMU, or other robotic sensor modalities.
• Experience working with multi-modal or multi-sensor architectures.
• Publications or significant research contributions are a plus, but not required.

Responsibilities

• Design, train, and deploy machine learning models for perception in autonomous systems.
• Develop algorithms for object detection, segmentation, tracking, and scene understanding.
• Build systems for 3D perception and geometric reasoning using various sensors.
• Develop multi-sensor fusion and multi-modal representations.
• Create data, training, evaluation, and experimentation pipelines for perception development.
• Define metrics and evaluation methodologies connecting offline performance to real-world behavior.

Skills

Python

C++

Perception Systems

Computer Vision

ML Deployment

Embedded Systems

Education

BS/MS in CS/Robotics

Tools

ROS

TensorFlow

PyTorch

OpenCV

Job description

Atoms is hiring a Perception Engineer to advance perception in autonomous machines used in real-world environments. You will work at the intersection of computer vision, ML, robotics, and systems engineering to transform sensor data into reliable environmental representations.

Responsibilities include designing and deploying perception models, multi-sensor fusion, and real-time optimization for resource-constrained robotic platforms.