CUDA Developer

Location: 100% remote within the United States

Salary: $85,000–$110,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design and optimize compute-intensive workloads for modern GPU accelerator platforms.
• Develop and integrate custom CUDA kernels into machine learning frameworks.
• Profile production GPU workloads and deliver measurable performance improvements.
• Support AI training, inference, scientific computing, and high-throughput data processing systems.
• Collaborate with product, design, engineering, operations, and business stakeholders to turn ambiguous requirements into production-ready solutions.
• Contribute through code reviews, design reviews, technical mentorship, and engineering standards.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 6+ years of experience in GPU programming and performance engineering.
• Deep expertise in CUDA C/C++, GPU programming models, modern GPU architectures, memory hierarchies, and execution models.
• Hands-on experience profiling and optimizing GPU workloads in production.
• Familiarity with NCCL, MPI, high-performance interconnects, modern systems programming, linear algebra, and numerical methods.
• U.S. work authorization is required; new H-1B visa petitions cannot be sponsored.

Nice to have

• Experience with Triton, CUTLASS, or other GPU kernel authoring frameworks.
• Familiarity with TensorRT, FasterTransformer, or vLLM internals.
• Exposure to LLVM or MLIR compiler infrastructure.
• Open-source contributions to GPU or machine learning performance libraries.
• Experience with large-scale distributed training infrastructure.

Culture & Benefits

• Full-time direct W-2 employment.
• Collaboration with research and engineering teams.
• Opportunity for career growth within an established organization.