Senior / Staff Software Engineer - Perception 3D Tracking in Foster City
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob DescriptionThe Perception Object Detection and Tracking team at Zoox deals with perception of all people and objects that have a capability to move. Your role is to work with the ML model teams to bring cutting-edge models into the vehicle stack.
In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.In this role, you will...
- Define on-vehicle architecture for producing the core tracking results from the Perception stack.
- Work with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle.
- Work with Perception data, both on the input and output of machine learned models
- Take tracking output and integrate this into the larger behavioral system in the Autonomy stack
Qualifications
- BS or higher in Computer Science or a related degree
- Fluency in C++ and Python
- Experience delivering ML model integration in latency-sensitive systems
- Have experience implementing tracking systems
- Strong mathematical skills and understanding of probabilistic techniques
Bonus Qualifications
- Familiarity with modern, Sparse-BEV Joint Detection and Tracking models
- Experience with CUDA code
- Contribute to the ongoing development of new architecture based on new, state of the art ML research
- Investigate, prototype and train / evaluate networks for solving causal / recursive multi-target multi-modal tracking problem
About ZooxZoox 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 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.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.