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CUDA Developer

Bright Vision Technologies•United States•🌍 Remote
Full-time7-15
$85k - $110k
per year
👁️ 0 views•📝 0 applications•Posted 9/27/2026•Expires 11/26/2026
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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. St

Required Skills

CUDAC++GPU programminghigh-performance computingAI traininginferencescientific computingdata processingBachelor's degreeMaster's degreeComputer ScienceComputer Engineeringperformance engineering

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