CUDA Developer

Bright Vision Technologies; Artesia, Cerritos (CA, CA); Remote; USD 85,000 - 110,000; Full time

Job summary

Bright Vision Technologies seeks a CUDA Developer to design and optimize compute-intensive workloads on modern accelerator hardware, with a focus on AI training and high-throughput data processing.

The role emphasizes deep CUDA C/C++ expertise, GPU architectures, and performance improvements in production systems, collaborating with product, design, and engineering teams across the US for impactful, scalable solutions.

Qualifications

• Six+ years of GPU programming and performance engineering.
• Bachelor’s or Master’s in CS/CE or related field.
• Strong CUDA C/C++ knowledge and GPU programming models.
• Experience profiling GPU workloads in production.

Responsibilities

• Design and optimize compute-intensive workloads on GPUs for AI training and inference.
• Collaborate with product, design, and engineering teams to translate requirements into efficient kernels.
• Mentor junior engineers and review code to raise engineering standards.

Skills

CUDA C/C++

GPU programming

Performance profiling

MPI/NCCL

Systems programming

Linear algebra

Communication skills

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

CUDA toolkit

NCCL

MPI

LLVM

Job description

CUDA 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.

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.