Senior ML Accelerator Engineer - GPU

For our client, we are seeking a Senior ML Accelerator Engineer - GPU to join the team of a leader in the Manufacturing & Automotive space. This role will lead operational priorities focused on execution quality, efficiency, safety, and measurable performance outcomes. You will collaborate with field leadership, support functions, and cross-functional stakeholders to improve accountability, service delivery, and operational consistency. The position offers the opportunity to influence operational scale, customer outcomes, and organizational performance within a manufacturing environment.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $170,100 – $258,300 annuallyResponsibilities Design and optimize CUDA-based kernels for performance in vehicle inference tasks Develop tools to profile, debug, and validate CUDA kernels across the AV stack Collaborate with AI teams to create and prioritize kernel development roadmaps Work with cross-functional teams to deliver high-performance libraries Uphold high standards in GPU kernel performance through code reviews Manage internal customer relationships to align kernel output with practical needsQualifications 2+ years of relevant industry experience or equivalent BS, MS or PhD in Computer Science or related field Expertise in CUDA and GPU programming Experience in benchmarking and optimizing GPU kernels Strong software architecture and design pattern knowledge Proficient in C++ with large codebases Background in high performance computing and system performanceBenefits Health and wellbeing benefit programs including medical, dental, and vision Flexible Spending and Health Savings Accounts Retirement savings plan with contributions Life insurance and accident benefits Paid vacation and holidays Tuition assistance programs for continued education Employee Assistance Program for personal support Vehicle discounts for employeesOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.