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Cuda Kernel Engineer Jobs in Seattle, WA (NOW HIRING)

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA · On-site

$168K - $239K/yr

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 ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA · On-site

$168K - $239K/yr

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 ...

Anduril Industries

Embedded Linux Engineer

Seattle, WA · On-site

$166K - $220K/yr

Experience with Linux kernel development * Experience with uboot, EDK2, platform firmware, etc ... Familiarity with packaging CUDA libraries and applications * Familiarity with functional ...

Anduril Industries

Embedded Linux Engineer

Seattle, WA · On-site

$166K - $220K/yr

Experience with Linux kernel development * Experience with uboot, EDK2, platform firmware, etc ... Familiarity with packaging CUDA libraries and applications * Familiarity with functional ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$154K/yr

Experience with GPU programming using CUDA, ROCm, or equivalent hardware accelerator kernel development * Experience with ML compiler technologies such as MLIR, LLVM, TVM, XLA, or IREE * Demonstrated ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as ... GPU kernel generation with high performance and fast build time. * A track record of success in ...

OpenAI

Software Engineer, Workload Enablement

Seattle, WA · On-site

$293K - $385K/yr

Overlap of compute/communication, kernel-level bottlenecks, memory bandwidth and scheduling effects ... Proficiency in Python plus comfort reading/writing performance-critical code (C++/CUDA/HIP is a ...

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Cuda Kernel Engineer information

What is a CUDA Kernel Engineer?

Cuda Kernel Engineers are specialized software developers who design, implement, and optimize parallel computing algorithms using NVIDIA's CUDA platform. They write 'kernels,' which are functions that run on Graphics Processing Units (GPUs) to accelerate computational tasks in areas such as machine learning, scientific simulations, and graphics rendering. These engineers need strong skills in C/C++ programming, GPU architecture, and performance optimization techniques. Their work is crucial for applications that require high-speed data processing and efficient resource utilization.

What skills and qualifications are needed to be a CUDA Kernel Engineer?

To thrive as a CUDA Kernel Engineer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid foundation in GPU architectures, typically supported by a degree in computer science or a related field. Expertise in NVIDIA CUDA toolkits, GPU profiling tools like Nsight, and familiarity with version control systems are essential. Analytical thinking, problem-solving abilities, and effective collaboration skills help engineers optimize code and work well within development teams. These skills and qualities are crucial for delivering high-performance, scalable GPU solutions in computationally intensive applications.

What are common challenges faced by CUDA Kernel Engineers when optimizing GPU code for performance?

Cuda Kernel Engineers often encounter challenges such as managing memory hierarchy efficiently, minimizing data transfer between host and device, and avoiding thread divergence. Ensuring optimal occupancy and maximizing parallelism while preventing bottlenecks like bank conflicts or uncoalesced memory access are also key concerns. Collaborating closely with software architects and data scientists is common, as solutions frequently require balancing algorithmic accuracy with hardware limitations. Addressing these challenges requires continuous profiling, testing, and iterative optimization.

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Cuda Kernel Engineer jobs near you
Infographic showing various Cuda Kernel Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution.

Software Engineer - C++ GPU Performance

Zoox

Seattle, WA • On-site

$168K - $239K/yr

Full-time

Re-posted 6 days ago

Job description

Zoox is building the world'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’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.
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.
About Zoox
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.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.