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We’re searching for a Senior Staff Tech Lead Manager for our Performance Engineering Optimization (PEO) team. The PEO team aims to empower Aurorans to reduce onboard software latency & improve hardware utilization by: Building production-level tooling & processes to ensure software performs as required; Provide for rapid robotic software performance experimentation through data-driven feedback loops; Building tooling to discover & diagnose software & hardware performance problems; Help autonomy engineers determine the cause and effect relationship between onboard events.
Job Responsibility:
Be responsible for leading the PEO team
Define technical direction for the team, including roadmap definition and execution against milestones
Responsible for managing a team of experienced engineers and their career growth
Contribute and lead at a Technical capacity
Create and contribute to tooling that probes, collects & processes monumental amounts of performance data both on-vehicle & in-simulation
Own the delivery of initiatives around tooling and pipelines that process and efficiently visualize & compare said data
Collaborate cross functionally with engineers in various domains within Aurora, including Autonomy, Sensing, Vehicle Platform Infrastructure on optimization efforts
Requirements:
Strong C++ programming and software design skills on performance critical code
BS, MS or PhD in Robotics, Computer Science or a related field
Minimum 8-10+ years of professional experience
Experience and knowledge of Linux fundamentals
Strong Linux fundamentals and solid grasp of performance tuning Linux based soft real time applications
Experience with modern DevOps practices
Experience with CUDA and/or GPU Profiling
Nice to have:
Knowledge and interest in programming with Python and high level languages
Knowledge and interest in cloud storage, cloud based data pipelines
Experience in data science and data engineering on cloud platforms