CUDA Developer

Bazeta; United States; Remote; USD 85,000 - 110,000; Full time

Job summary

Bright Vision Technologies is seeking a CUDA Developer for 100% remote work in the United States. You will design and optimize compute-intensive workloads on modern GPU hardware for AI training, inference, and HPC, with a focus on performance gains and scalable solutions.

Candidates should have 6+ years of GPU programming experience, strong CUDA C/C++, and collaboration skills to work with product, engineering, and operations teams.

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.

Responsibilities

• Design and optimize compute-intensive workloads on modern accelerator hardware.
• Collaborate with cross-functional teams to translate ambiguous requirements into engineered solutions.
• Raise the bar through code reviews and design reviews; mentor junior engineers.
• Deliver measurable performance improvements on production GPU systems.

Skills

CUDA C/C++

GPU programming

Performance engineering

C++ programming

Collaboration

Education

Bachelor’s or Master’s in CS/CE or related field

Tools

NCCL

MPI

Triton

CUTLASS

TensorRT

LLVM/MLIR

Job description

JobFrom partner feed# CUDA DeveloperUnited States2 days agoID 3608353$85,000 Salary## DetailsEmployment type: Full-timeRemote: YesSalary from: 85,000Salary to: 110,000Company: Bright Vision Technologies## DescriptionCUDA Developer – 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: CUDA Developer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $85,000–$110,000 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 CUDA Developer 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 . 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. Originally posted on Himalayas Source: Himalayas (https://himalayas.app/companies/bright-vision-technologies/jobs/cuda-developer-9677024754?utm\\_source=api)This listing comes from a partner feed. Apply on the source website.Source:Bright Vision TechnologiesShare Listing provided by Bright Vision Technologies.