High-Performance Computing Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2Salary Range: $130,000–$150,000 Annually

Experience Required: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary: We are seeking a High Performance Computing Engineer with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive workloads on modern accelerator hardware. This role focuses on extracting maximum performance from GPU platforms for AI training, inference, scientific computing, and high-throughput data processing workloads. The ideal candidate combines low-level systems mastery with strong software engineering practices, and has a track record of delivering measurable performance improvements on production GPU systems. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Required Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field. Six or more years of experience in GPU programming and performance engineering. Deep expertise in CUDA C/C++ and GPU programming models. Strong understanding of modern GPU architectures, memory hierarchies, and execution models. Hands-on experience profiling and optimizing GPU workloads in production. Familiarity with NCCL, MPI, and high-performance interconnect technologies. Experience integrating custom kernels into ML frameworks. Strong C++ skills and familiarity with modern systems programming practices. Solid grounding in linear algebra and numerical methods. Strong communication and collaboration skills with research and engineering teams.