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Salary: USD 208,000 - 245,000 / annual
Pronto AI is a global leader in commercializing autonomous vehicle technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. The company is building toward becoming the world's first profitable AV technology company, with production-ready autonomy already operating in the field.
As a Senior Perception Engineer, you will develop the systems that enable autonomous machines to understand and interact with the physical world. You will work on perception problems 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 systems for 3D perception and geometric reasoning 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 including occlusion, sensor noise, and 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 and systems for deployment on resource-constrained or latency-sensitive robotic platforms
- Investigate failures in deployed systems and translate findings into improvements
- Collaborate closely with AI Research, Robotics, ML Infrastructure, Software, Hardware, and Systems Engineering teams
The role is based in the San Francisco office with onsite work five days a week. This is a full-time exempt position.
REQUIREMENTS:
- 3-5 years of relevant experience working with perception systems and computer vision & 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
