Senior Software Engineer - C++ GPU Performance

Zoox; Foster City (CA); On-site; USD 217,000 - 307,000; Full time

Benefits offered by this job

Zoox Stock Appreciation Rights

Amazon RSUs

Health insurance

Long-term and short-term disability保险

Paid time off (sick leave, vacation, &

Bereavement leave

Job summary

Zoox is seeking a highly skilled engineer to build real-time instrumentation and benchmarking tools for performance monitoring across CPU, GPU, latency, and memory in CI/vehicle environments. You will analyze metrics to identify GPU hotspots, debug and optimize GPU kernels, and help bring serial algorithms to the GPU to maximize compute utilization.

As part of the Core team, you will help design a middleware framework that promotes efficient and performant code development by maximizing CPU and

Qualifications

• BS in computer science or related field and 7+ 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).

Responsibilities

• Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures.
• Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.
• Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.
• Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.

Job description

In this role, you will:

• Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next‑gen architectures.
• Analyze performance metrics to identify GPU hotspots and root causes, and propose and co‑implement actionable solutions with component teams.
• Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.
• Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.

Qualifications

• BS in computer science or related field and 7+ 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

• Experience with GPU kernel development in a real‑time environment, including PTX‑level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT & XLA.
• Hands‑on work with ML model optimization (post‑training quantization, layer pruning, etc) or hand‑tuning GPU kernels (in OpenGL, CUDA, RocM or similar).
• Proficiency with SQL, DataBricks, Looker, or other business intelligence tools.

$217,000 - $307,000 a year

Base Salary Range

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] or your assigned recruiter.

Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.