Sensor Fusion Engineer, Autonomy
Description For Sensor Fusion Engineer, Autonomy
Serve Robotics is at the forefront of revolutionizing urban delivery through innovative robotics technology. We're developing autonomous sidewalk robots that are transforming how deliveries are made in cities, making them more efficient and accessible while reducing street congestion. Our fleet is already making commercial deliveries in Los Angeles, delighting merchants, customers, and pedestrians alike.
As a Sensor Fusion Engineer on our Autonomy team, you'll play a crucial role in developing and maintaining our onboard sensor-to-obstacle pipeline. This position combines cutting-edge robotics technology with practical, real-world applications. You'll work with various sensor modalities including mono and stereo cameras, LiDAR, and other advanced sensing technologies, while diving deep into sensor optics, firmware, and calibration.
We're a team of industry veterans in software, hardware, and design, working collaboratively to build the future of autonomous delivery. Our approach combines robotics, machine learning, and computer vision with a strong focus on end-to-end user experience. The role requires strong production-level C++ expertise, with opportunities to work with CUDA, edge-device perception, and machine learning.
This is an excellent opportunity for someone passionate about robotics and autonomous systems who wants to make a real impact on the future of urban delivery. You'll be working with a diverse, agile team that values collaborative problem-solving and respectful communication. The position offers competitive compensation ($119K-$160K) with equity, and the flexibility of remote work, making it an attractive opportunity for talented engineers looking to shape the future of autonomous delivery technology.
Responsibilities For Sensor Fusion Engineer, Autonomy
- Lead, design, implement, and optimize sensor fusion algorithms to reliably detect and track obstacles
- Develop robust pipelines that integrate data from multiple sensor modalities in real-time
- Develop geometric perception pipelines for resource-constrained, real-time edge devices
- Develop ML based sensor fusion and obstacle detection pipelines
- Validate sensor fusion outputs against ground-truth data
- Write, maintain, and optimize production-level C++ code for real-time sensor data processing
- Implement parallel computing solutions using CUDA
- Analyze and understand sensor specifications and firmware intricacies
- Collaborate with system and hardware team for seamless integration
- Work with sensor calibration teams to ensure high precision and reliability
Requirements For Sensor Fusion Engineer, Autonomy
- 3+ years demonstrated industry experience in sensor fusion for robotic or autonomous systems
- Deep understanding of sensor technologies (cameras, LiDAR, RealSense)
- Experience in developing real-time applications and low-latency systems
- Production quality programming experience in C++ and Python
- Demonstrated skill building large system designs
- Strong communication and collaboration skills
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