GPU Software Engineer (CUDA)

GPU Software Engineer (CUDA) – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: GPU Software Engineer (CUDA)
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$107,000 Annually
Experience Required: 7+ 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 GPU Software Engineer (CUDA) 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
Preferred Qualifications
Experience with Triton, CUTLASS, or other GPU kernel authoring frameworks
Familiarity with TensorRT, FasterTransformer, or vLLM internals
Exposure to compiler infrastructure such as LLVM or MLIR
Open-source contributions to GPU or ML performance libraries
Experience with large-scale distributed training infrastructure
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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Work arrangement
Yes