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Senior Staff TLM, Performance Engineering & Optimization

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Aurora Innovation

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Location:
United States , Pittsburgh

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Contract Type:
Not provided

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Salary:

191000.00 - 306000.00 USD / Year

Job Description:

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
  • Experience with frontend development technologies
What we offer:
  • Annual bonus
  • Equity compensation

Additional Information:

Job Posted:
March 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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