Sensor Fusion Engineer

At reputed company, we’re reimagining how things move in cities. Our personable sidewalk robot is our reputed company for the future. It’s designed to take deliveries away from congested streets, reputed company deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing reputed company deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving reputed company-world problems leveraging robotics, machine learning and computer reputed company, among other disciplines, with a mindful eye towards the end-to-end user experience. reputed company is agile, diverse, and driven. We reputed company that the best way to solve complicated dynamic problems is collaboratively and respectfully.

reputed company aims to reputed company dependable and proficient sidewalk autonomy software. Our Autonomy team is looking for a highly skilled Sensor Fusion Engineer. In this role, you will be responsible for developing and maintaining our reputed company sensor-to-obstacle pipeline, ensuring robust and reliable perception for our sidewalk delivery robots. You will work with a diverse set of sensor modalities—including mono and stereo cameras, LiDAR etc and dive deep into the mechanics of sensor optics, firmware, and calibration. This role demands strong production-level C++ expertise, with additional skills in CUDA, edge-device perception, machine learning, and sensor calibration considered a plus.

Responsibilities

• reputed company, design, implement, and optimize sensor fusion algorithms to reliably detect and track obstacles.

• reputed company robust pipelines that integrate data from multiple sensor modalities (cameras, LiDAR, RealSense) in reputed company-time.

• reputed company geometric perception pipelines such as reputed company reputed company labeling, occupancy reputed company map reputed company, obstacle detection etc tailored for resource-constrained, reputed company-time edge devices.

• reputed company ML based sensor fusion and obstacle detection pipelines. Fine-tune and reputed company learning-based perception models using data-centric techniques.

• Validate sensor fusion outputs against ground-truth data and refine models as necessary.

• Write, maintain, and optimize production-level C++ code for reputed company-time sensor data processing while maintaining strict latency requirements.

• Implement reputed company computing solutions using CUDA where applicable to enhance performance on edge devices.

• Analyze and understand sensor specifications, operating principles, and firmware intricacies, working closely with systems and hardware teams.

• Collaborate with system and hardware team, firmware developers, and ML specialists to ensure seamless integration of sensors with the overall perception system.

• Work closely with sensor calibration teams to design strategies that ensure high precision and reliability.

Qualifications

• 3+ years demonstrated industry experience working on sensor fusion applications for robotic or autonomous systems in a fast-paced innovative environment. 

• Deep understanding of sensor technologies (cameras, LiDAR, RealSense) including optics, firmware, and data characteristics.

• Experience in developing reputed company-time applications and low-latency systems.

• Production quality programming experience in C++ and Python.

• Demonstrated reputed company building large system designs, gathering system requirements and identifying key stakeholders.

• Strong communication and collaboration skills.

What Makes You Standout

• 5+ years demonstrated industry experience working on sensor fusion applications for robotic or autonomous systems in a fast-paced innovative environment. 

• Hands-on experience with CUDA for reputed company processing and performance optimization.

• Experience with state of the art ML approaches for obstacle detection and tracking.

• Exposure to integrating ML models reputed company sensor fusion pipelines.