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Salary: USD 208,000 - 245,000 / annual
Atoms is building Physical AI—autonomous robots for real-world industries including food production, mining, and transport. The company integrates hardware, software, AI, operations, and manufacturing to deploy and scale intelligent machines in physical environments.
As a Senior Perception Engineer, you will develop the perception systems that enable autonomous machines to understand and interact with the physical world. You'll work at the intersection of computer vision, machine learning, robotics, and autonomous systems, transforming real-world sensor data into reliable environmental representations.
Key responsibilities include:
- Design, train, and deploy machine learning models for perception in autonomous systems
- Develop algorithms for object detection, classification, segmentation, tracking, and scene understanding
- Build 3D perception and geometric reasoning systems using cameras, LiDAR, radar, and other sensors
- Develop multi-sensor and multi-modal fusion approaches combining complementary sensor information
- Build temporal models reasoning about objects, motion, trajectories, and environmental changes
- Improve perception performance across challenging real-world conditions (occlusion, sensor noise, changing environments, edge cases)
- Develop data, training, evaluation, and experimentation pipelines accelerating perception development
- Define metrics and evaluation methodologies connecting offline model performance to real-world system behavior
- Optimize perception models for deployment on resource-constrained or latency-sensitive robotic platforms
- Investigate failures in deployed systems and translate findings into improvements across models, data, and architecture
- Collaborate closely with AI Research, Robotics, ML Infrastructure, Software, Hardware, and Systems Engineering teams
The role is based in San Francisco with five-day-per-week onsite work. Atoms is driven by invention and continuous change, with teams working together in the office.
REQUIREMENTS:
- 3-5 years of relevant experience with perception systems, computer vision, and machine learning models
- Strong software engineering skills in Python and/or C++
- Experience developing perception systems for autonomous vehicles, robotics, drones, industrial automation, or other embodied systems
- Experience with camera, LiDAR, radar, IMU, or other robotic sensor modalities
- Experience with multi-modal or multi-sensor architectures
- Knowledge of 3D geometry, coordinate transformations, calibration, localization, or state estimation
- Experience deploying ML models into real-time or safety-critical systems
- Experience optimizing models for latency, compute, memory, or power constraints
- Experience working with large-scale perception datasets and training infrastructure
- Experience diagnosing long-tail failures and improving production perception systems through data-driven iteration
- Experience taking research ideas from experimentation through deployment on physical systems
- Publications or significant research contributions in computer vision, machine learning, robotics, or related fields are a plus but not required
