5 дней назад
Senior Perception Engineer (Autonomous Vehicles)
208 000 - 245 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Perception Engineer (Autonomous Vehicles): Building production perception systems that transform camera, LiDAR, radar, and other sensor data into reliable representations for autonomous haulage machines with an accent on computer vision, machine learning, 3D geometry, and multi-sensor fusion. Focus on deploying and optimizing real-time models, diagnosing long-tail failures, and improving autonomy in challenging real-world conditions.
Location: San Francisco, California, United States. This is an onsite office role, five days a week.
Base salary: $208,000–$245,000 per year, plus potential equity awards.
Company
develops production-ready autonomous vehicle technology, including autonomous haulage systems for mines, quarries, and construction sites.
What you will do
- Design, train, deploy, and optimize machine learning models for autonomous-system perception.
- Develop object detection, classification, segmentation, tracking, scene understanding, and temporal reasoning systems.
- Build 3D perception, geometric reasoning, calibration, and multi-sensor fusion systems using cameras, LiDAR, radar, IMU, and other sensors.
- Create data, training, evaluation, and experimentation pipelines and define metrics connected to real-world system behavior.
- Deploy perception models on latency- and resource-constrained robotic platforms and improve performance in challenging conditions.
- Investigate failures in deployed systems and collaborate with AI Research, Robotics, ML Infrastructure, Software, Hardware, and Systems Engineering.
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 robotic sensor modalities, multi-sensor or multimodal architectures, and 3D geometry.
- Experience deploying and optimizing machine learning models for real-time or safety-critical systems.
- Experience with large-scale perception datasets, training infrastructure, production debugging, and data-driven iteration.
Nice to have
- Publications or significant research contributions in computer vision, machine learning, robotics, or a related field.
Culture & Benefits
- Work on real, production-deployed autonomy that improves safety, efficiency, and productivity.
- Collaborate in a fast-moving environment with high ownership and direct field impact.
- Medical, dental, vision, disability, and life insurance.
- Flexible Spending Account or Health Savings Account options, 401(k), equity, paid holidays, sick time, unlimited flexible time off, and paid parental leave.
- Pre-tax commuter benefits and team lunch at the SoMa office on Tuesdays and Thursdays.
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