Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizing throughput.
The Software Core Performance team’s mission is to analyze, optimize, and provide guidance to the software and hardware teams to meet expected system performance targets.
As a performance software engineer within the Software Core Performance team, you will instrument, monitor, analyze, and optimize performance-critical algorithms. Your broad experience in developing, debugging, and optimizing software will enable AI software to run as efficiently as possible.
In this role, you will:
Build real-time instrumentation for performance monitoring of the system as well as benchmarking frameworks to support offline performance evaluation.
Create performance-optimization workflows (quick iteration loops) to evaluate and analyze performance at scale.
Analyze profiling data to identify resource utilization hotspots and optimization opportunities.
Propose and co-implement actionable solutions with software component teams.
Support teams in helping to squeeze out the maximum performance of their code, while minimizing resource contention.
Qualifications
6+ years of professional experience in software development or related fields
Hands-on experience in the development, debugging, and profiling of complex multi-process real-time systems, like game engines or robotics systems
Strong knowledge of C++ and experience in large code bases
Familiar with CPU system architecture and OS fundamentals
Good communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills
Bonus Qualifications
Experience using various Linux performance monitor tools, such as perf, eBPF, Perfetto
Kernel and/or driver development experience
Experience with software & hardware benchmarking and Hardware-in-the-Loop (HIL) systems
