Software Engineer - Core Sensors

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.  The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.    As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation. 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. Follow us on LinkedIn Accommodations If 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. country: US all locations: [Foster City, CA] commitment: Full-time department: Software location: Foster City, CA team: C++ Software Architecture In this role, you will: : Design, implement, and maintain high-quality, robust code that meets the vehicle's specific use/safety case. Develop and maintain driver software for lidar, radar, and camera sensors Work closely with the perception, planning, and advanced hardware teams to ensure the drivers meet the required specifications Develop and maintain highly performant, robust, safety-critical code Collaborate with other teams to ensure the sensor software integrates seamlessly with the autonomous driving stack and offline tool pipelines Qualifications: Bachelor's or Master's degree in Computer Science or a related field with minimum 5 years of experience in software development Strong proficiency in C++ programming language Experience with developing device drivers Excellent problem-solving skills and attention to detail Ability to work in a collaborative team environment Bonus Qualifications: Expertise with developing sensor drivers (LiDAR and/or Radar) Experience working at autonomous self driving company