Parallel Computing Engineer

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Parallel Computing Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. # Parallel Computing Engineer **Job Title:** Parallel Computing Engineer **Location:** 100% Remote (Continental United States) **Position Type:** In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) **Experience:** 6+ years **Salary Range :** $100k to $150k per annnum **Sponsorship:** No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. **Employment Type:** Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) **Engagement:** Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap **Compensation:** Competitive base salary commensurate with experience, plus benefits. **Employment Terms & Visa Policy** **This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.** **This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement.** The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. **BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.** Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. **However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.** For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. **Job Summary** We are seeking a Parallel Computing Engineer 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. **Key Responsibilities** - Design and implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases. - Profile and optimize GPU code using tools such as Nsight Systems, Nsight Compute, and CUDA profilers. - Tune memory access patterns, occupancy, register usage, and shared memory utilization for peak performance. - Develop highly optimized libraries for linear algebra, attention, and other ML primitives. - Optimize multi-GPU and multi-node training using NCCL, RDMA, and high-performance net…