Automotive H-1B1 Singapore Sponsorship Jobs in Washington
Washington's automotive sector spans vehicle manufacturing, fleet electrification, and precision parts supply, with companies like Toyota's North American operations, PACCAR, and Bellevue-based tech-automotive crossover firms actively hiring engineers and specialists. Singapore nationals holding an H-1B1 visa can fill specialty occupation roles here without entering the H-1B lottery, making Washington a practical target for automotive career moves.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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.
BASIC 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).
PREFERRED 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.
COMPENSATION
- 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.
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. 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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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.
BASIC 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).
PREFERRED 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.
COMPENSATION
- 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.
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. 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.
Automotive Job Roles in Washington
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Search Automotive Jobs in WashingtonAutomotive Jobs in Washington: Frequently Asked Questions
Which automotive companies in Washington sponsor H-1B1 Singapore visas?
PACCAR, headquartered in Bellevue, is one of Washington's most prominent automotive employers and has a documented history of sponsoring specialty occupation visas for engineering and technology roles. Toyota's regional operations and a growing cluster of EV and fleet-technology companies in the Seattle-Bellevue corridor also appear in DOL Labor Condition Application records as H-1B1 visa-compatible sponsors. Checking OFLC disclosure data by employer name gives the most current picture of filing activity.
Which cities in Washington have the most automotive H-1B1 Singapore sponsorship jobs?
Bellevue and Seattle concentrate the highest volume of automotive and automotive-adjacent sponsorship roles in Washington, driven by PACCAR's headquarters and the region's tech-automotive crossover companies working on connected vehicles and fleet software. Renton and Kirkland have smaller but active pockets of automotive engineering hiring. Tacoma sees demand in commercial vehicle logistics and parts distribution, which can include specialty occupation roles in supply chain engineering.
What types of automotive roles typically qualify for H-1B1 Singapore sponsorship?
Roles that consistently qualify as specialty occupations under H-1B1 criteria include automotive systems engineers, embedded software engineers working on vehicle control units, mechanical design engineers, quality assurance engineers, and supply chain analysts with advanced technical degrees. The position must require at minimum a bachelor's degree in a directly related field. General technician, assembly, and non-degree trade roles do not meet the specialty occupation standard and would not qualify.
How do I find automotive H-1B1 Singapore sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa type, including H-1B1 Singapore, and by industry, so you can search Washington automotive roles where employers have verified sponsorship history without sorting through unrelated results. Because Migrate Mate draws on DOL Labor Condition Application data, you can see which Washington automotive employers have actively filed for H-1B1 positions, narrowing your applications to companies already familiar with the process.
Are there Washington-specific considerations for H-1B1 Singapore sponsorship in the automotive industry?
Washington has no state-level visa sponsorship requirement, but its automotive sector skews heavily toward engineering, software-defined vehicles, and commercial trucking rather than traditional assembly manufacturing. This means most sponsorable roles are in design, systems integration, or fleet technology, where a qualifying specialty-occupation degree is straightforward to document. Washington's strong H-1B ecosystem across adjacent tech industries also means many local employers have established immigration counsel and LCA filing processes already in place.
What is the prevailing wage for H-1B1 Singapore automotive jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.