Zoox is looking for a person to join our Perception Optimization team to work on perception system profiling and optimization. You will work closely with research engineers on the perception team over the full development life cycle from algorithm design to model deployment on autonomous vehicles.

QUALIFICATIONS

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• Solid background in C++, compilers, and computing systems

• Basic understanding of machine learning/computer vision/prediction/3D perception algorithms
• Experience in parallel computing

BONUS QUALIFICATIONS

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• Knowledge of CUDA/OpenCL programming is a plus

• Knowledge of real-time system programming is a plus
• Hands-on experience with profiling tools (e.g., Nsight/nvprof/gprof/Vtune) is a plus
• Knowledge of deep learning inference engine (e.g., TensorRt/ONNX) is a plus
• Knowledge of deep learning frameworks (e.g., Tensorflow/Pytorch) is a plus
• Experience in performance analysis and optimization
• Strong analysis, problem-solving and reporting skills are highly desired

ABOUT ZOOX

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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• Develop high-performance, reliable, and well-documented parallel code that implements state of the art perception algorithms.

• Research on methodologies for performance analysis and optimization for the perception system and develop innovative technologies to reduce processing latency and memory.
• Define systems architecture and interface for perception systems that focus on high performance and efficiency.