--- title: High Performance Computing Engineer description: Bright Vision Technologies is hiring for the High Performance Computing Engineer role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/high-performance-computing-engineer-at-bright-vision-technologies-01a0b3d6-8a30-7c56-b269-a8005db1bba2 date: 2026-09-28T04:23:25Z og_description: Join Bright Vision Technologies as High Performance Computing Engineer. Pays $130K–$150K per year. Full-time, remote role. og_image: https://www.foundrole.com/og/p7gfmn.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Bright Vision Technologies | | **Location** | Remote | | **Salary** | $130K/yr - $150K/yr | | **Type** | Full Time | | **Posted** | Sep 28, 2026 | ## Remote check **Fully remote: passed our check.** The role itself is remote, with no recurring office days, travel under 10%, no on-site duties and no end date on the remote setup. - "Location: 100% Remote (U.S.)" **Where you can work from:** United States ## Description 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:** High Performance Computing Engineer **Location:** 100% Remote (U.S.) **Position Type:** Full-time, Direct W2 **Salary Range:** $130,000–$150,000 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 High Performance 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. **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. **How to Apply** Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at [www.bvteck.com](http://www.bvteck.com). 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. ## Skills - High-Performance Computing - Interconnect Design - Electrical Grounding - GPU Computing - Numerical Analysis - MLIR - Open-Source Software - Scientific Computing - NVIDIA Triton Inference Server - High-Throughput Screening - Code Review - Linear Algebra - Linux Kernel Development - Performance Engineering - AI Training - Collaboration - Compiler Design - LLVM - Mentoring - Distributed Training (Machine Learning) - C++ - GPU (Graphics Processing Unit) - NVIDIA CUDA - Computer Engineering - Design Review - Computer Science - NVIDIA TensorRT - System Programming - GPU Architecture - Communication - Machine Learning - vLLM - Data Processing ## How to Apply [Apply for this position](https://www.foundrole.com/jobs/high-performance-computing-engineer-at-bright-vision-technologies-01a0b3d6-8a30-7c56-b269-a8005db1bba2?utm_source=ai_markdown) ## Related - [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown)