GPU Software Engineer (CUDA)

Bright Vision Technologies; United States; Remote; USD 80,000 - 107,000; Full time

Job summary

Bright Vision Technologies is seeking a GPU Software Engineer (CUDA) to push the limits of compute on modern accelerators. This remote, full-time role focuses on delivering high-performance CUDA code for AI training, inference, and HPC workloads.

You will work with cross-functional teams to translate complex requirements into robust, production-grade software, mentor junior engineers, and continuously optimize kernels and memory usage to maximize throughput and efficiency in distributed

Qualifications

• Six+ years of GPU programming and performance engineering experience.
• Deep expertise in CUDA C/C++ and GPU programming models.
• Strong understanding of modern GPU architectures and memory hierarchies.
• Hands-on experience profiling and optimizing GPU workloads in production.
• Strong C++ skills and modern systems programming.
• Excellent communication and collaboration with research and engineering teams.

Responsibilities

• Design and optimize compute-intensive workloads on modern accelerator hardware.
• Extract maximum performance from GPU platforms for AI training, inference, HPC workloads.
• Lead kernel integration and performance improvements in production environments.
• Collaborate with product, design, and operations to translate requirements into robust software solutions.
• Mentor junior engineers and conduct design/code reviews to raise engineering standards.

Skills

GPU programming & performance

CUDA C/C++

GPU architectures

Profiling & optimization

Interconnect technologies (NCCL, MPI)

C++ systems programming

Numerical methods

Communication & collaboration

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Tools

NCCL

MPI

Triton

CUTLASS

TensorRT

Job description

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.

Bright Vision Technologies is an Equal Opportunity Employer.

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.

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.