Senior Staff TLM, Performance Engineering & Optimization

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

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.

In this role, you will

• 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.

Required Qualifications

• 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.

Desirable Qualifications

• 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.
• Experience with frontend development technologies.

The base salary range for this position is $191,000 - $306,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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