GPU Software Engineer (CUDA)

Bright Vision Technologies; Aurora (IL); Remote; USD 80,000 - 107,000; Full time

Job summary

Bright Vision Technologies is seeking a GPU Software Engineer (CUDA) to design and optimize compute-intensive workloads on modern accelerator hardware, with a focus on AI training, inference, HPC, and data processing. This role emphasizes delivering high-performance GPU software that scales across platforms.

You will work with product, design, engineering, and operations teams to translate ambiguous requirements into robust solutions, mentor junior engineers, and drive measurable production

Qualifications

• Bachelor's or Master's degree in CS/CE or related field.
• 6+ years of GPU programming and performance engineering experience.
• Strong CUDA C/C++ skills and knowledge of GPU programming models.
• Familiar with GPU architectures, memory hierarchies and execution models.
• Experience profiling and optimizing GPU workloads in production.
• Familiar with NCCL, MPI, and high-performance interconnects.
• Experience integrating custom kernels into ML frameworks.
• Strong C++ skills and modern systems programming.

Responsibilities

• Design and optimize compute-intensive CUDA workloads on modern GPUs.
• Collaborate with cross-functional teams to translate requirements into engineered solutions.
• Mentor junior engineers and contribute to code and design reviews.

Skills

CUDA C/C++

GPU programming

Performance profiling

C++ programming

GPU architecture

MPI/NCCL

Education

Bachelor's or Master's in Computer Science / Computer Engineering or related field

Tools

NCCL

MPI

High-performance interconnects

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 Details

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.

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.