Software Engineer - C++ GPU Performance Software

Front Door Defense; Foster City (CA); On-site; USD 168,000 - 239,000; Full time

Benefits offered by this job

Paid time off

Amazon RSUs

Zoox Stock Appreciation Rights

Health insurance

Long-term disability insurance

Job summary

Zoox is building the world’s most advanced self-driving hardware and software solution. As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are critical for perception workloads.

You will build real-time instrumentation for performance monitoring, analyze GPU hotspots, and co-implement solutions with component teams.

Qualifications

• BS in computer science or related field and 3+ years of experience.
• Strong knowledge of CUDA as applied to recent GPU microarchitectures and experience debugging/optimizing GPU kernels using 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 to evaluate performance at scale.
• Analyze performance metrics to identify GPU hotspots and root causes, and propose actionable solutions with component teams.
• Support teams on bringing serial algorithms to the GPU to maximize compute utilization and reduce latency.
• Contribute to designing a middleware framework that promotes efficient and performant code development for CPU and GPU.

Skills

CUDA

C++

Nsight

Linux

Performance analysis

GPU kernels

Education

BS in computer science or related field

Tools

TensorRT

XLA

CUDA toolkit

Job description

Software Engineer - C++ GPU Performance

Build a high-performance GPU-accelerated software stack for autonomous vehicle perception workloads

Location: Foster City, California Seattle, Washington San Diego, California Boston, Massachusetts

Compensation: $168,000 - 239,000 USD / year

About The Role

Gpu Performance Software Engineer

Zoox is building the world&apost;s most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.

The Software Performance team&apost;s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.

As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation.

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 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

• 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.

$168,000 - $239,000 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.

• 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
• life insurance

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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

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.