Senior Software Engineer - Planner GPU Compute

Posted 3 Days Ago
Be an Early Applicant
2 Locations
Hybrid
237K-298K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Optimize GPU-based motion-planning algorithms for latency, memory usage, and resource utilization. Analyze performance metrics, identify GPU hotspots, adapt the planner across GPU architectures, optimize machine-learning models, and support engineers as a CUDA and GPU-performance subject matter expert. The role involves C++ development in large codebases, Linux environments, and debugging and profiling complex multiprocess robotic systems.
Summary Generated by Built In

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 8+ 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

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Skills Required

  • Bachelor's degree in computer science or a related field
  • At least 3 years of professional experience
  • Strong knowledge of CUDA applied to recent GPU microarchitectures, including Ampere and Blackwell
  • Experience debugging and optimizing GPU kernels using tools such as Nsight
  • Strong knowledge of C++
  • Experience working in large codebases and Linux development environments
  • Experience developing, debugging, and profiling complex multiprocess systems such as robotic systems or game engines
  • GPU kernel development experience

Zoox Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.

  • Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
  • Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
  • Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.

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The Company
HQ: Foster City, CA
2,900 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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