SECTION I · THE BRIEF
Brief #57496Updated 25 SEP 2026BOSTON, MALeverSOFTWARE COMPANIES
Employbl Company Profile

Senior Software Engineer - Planner GPU Compute

Zoox is an American autonomous vehicle company currently headquartered in Foster City, California, United States with multiple offices of operations throughout the San Francisco Bay Area. The company was founded in…

Location
Boston, MA
Company size
2,000–5,000
Posted
Today
Via
Lever
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

Free account · no card · 2 minutes

Senior Software Engineer - Planner GPU Compute

Zoox· Boston, MAView company profile


Job title
Senior Software Engineer - Planner GPU Compute
Job location
Boston, MA
Job description

Zoox made the world’s first purpose-built commercial robotaxi, combining advanced self-driving hardware and software. In order to ensure safe operation, low latency and consistent resource utilization are critical. The Planner Compute team is responsible for the performance of the largest single software component within the autonomy stack, the motion planner.

The Planner Compute team is looking for an expert in GPU performance. You will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from machine learning inference to custom CUDA kernels written specifically for the motion planner.

In this role, you will:
  • Analyze performance metrics to identify GPU hotspots and optimizations

  • Contribute to the adaptation of our current planner to multiple GPU architectures with different resources

  • Optimize ML models for latency and GPU memory usage

  • Support engineers within Planner as a subject matter expert on CUDA & GPU performance

  • Qualifications
  • BS in computer science or related field and 3+ years of experience.

  • Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.

  • Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.

  • Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).

  • Bonus Qualifications
    GPU kernel development experience
    View job listing ↗
    The Saturday Briefing

    Get the Saturday tech briefing

    New company profiles, funding moves, and who’s hiring across the market — every Saturday morning.