{"id":2624953,"url":"https://alion.io/job/bright-vision-technologies-gpu-systems-engineer-bright-vision-technologies-6","title":"GPU Systems Engineer - Bright Vision Technologies","company":{"id":452187,"name":"Bright Vision Technologies","domain":"brightvisiontechnologies.com","url":"https://alion.io/company/bright-vision-technologies-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":100000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"NCCL","optional":false},{"name":"PyTorch","optional":false},{"name":"Triton","optional":false},{"name":"CUTLASS","optional":true},{"name":"LLVM","optional":true},{"name":"MLIR","optional":true},{"name":"TensorRT","optional":true},{"name":"vLLM","optional":true}],"status":"closed","first_seen_at":"2026-10-15T14:43:46Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-21T17:33:37Z","board_verified":false,"closed_at":"2026-10-21T17:33:37Z","days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"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.\nAs we continue to grow, we’re looking for a skilled GPU Systems Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.\nThis is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.\nJob Title: GPU Systems Engineer\nLocation: 100% Remote (Continental United States)\nPosition Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)\nSalary: $100K to $150K\nExperience: 6+ years\nEmployment Terms & Visa Policy\nThis is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.\nThis 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.\nWe do not engage in C2C, 1099, or third-party arrangements for this role.\nBUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.\nCandidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.\nNo new H1B sponsorship is available for this role.\nHowever, 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.\nFor every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.\nJob Summary\nWe are seeking a GPU Systems 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.\nKey Responsibilities\nDesign and implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases.\nProfile and optimize GPU code using tools such as Nsight Systems, Nsight Compute, and CUDA profilers.\nTune memory access patterns, occupancy, register usage, and shared memory utilization for peak performance.\nDevelop highly optimized libraries for linear algebra, attention, and other ML primitives.\nOptimize multi-GPU and multi-node training using NCCL, RDMA, and high-performance networking.\nImplement custom operators and fused kernels in PyTorch, JAX, or Triton.\nCollaborate with ML engineers to identify performance bottlenecks in training and inference pipelines.\nDevelop benchmarks and regression tests to safeguard performance over time.\nEvaluate new GPU architectures and feature sets, and advise on adoption strategy.\nContribute to compiler-level optimizations for tensor programs where appropriate, working at the boundary between ML frameworks and underlying accelerator codegen to unlock performance not reachable through framework-level tuning alone.\nOptimize memory hierarchy usage across HBM, L2, shared memory, and registers.\nImplement mixed-precision and quantized compute paths that maximize accelerator throughput while preserving numerical fidelity within bounds acceptable for the target workloads.\nDocument performance characteristics, design decisions, and tuning playbooks for internal teams.\nStay current with GPU architecture, CUDA evolution, and emerging accelerator technologies.\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.\nSix or more years of experience in GPU programming and performance engineering.\nDeep expertise in CUDA C/C++ and GPU programming models.\nStrong understanding of modern GPU architectures, memory hierarchies, and execution models.\nHands-on experience profiling and optimizing GPU workloads in production.\nFamiliarity with NCCL, MPI, and high-performance interconnect technologies.\nExperience integrating custom kernels into ML frameworks.\nStrong C++ skills and familiarity with modern systems programming practices.\nSolid grounding in linear algebra and numerical methods.\nStrong communication and collaboration skills with research and engineering teams.\nPreferred QualificationsExperience with Triton, CUTLASS, or other GPU kernel authoring frameworks.\nFamiliarity with TensorRT, FasterTransformer, or vLLM internals.\nExposure to compiler infrastructure such as LLVM or MLIR.\nOpen-source contributions to GPU or ML performance libraries.\nExperience with large-scale distributed training infrastructure.\n How to ApplyWould you like to know more about this opportunity?\nFor immediate consideration, please send your resume to  or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.\nWe recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.\nWe do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.\nBright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.\nPosition offered by “No Fee Agency.”\nEqual Employment Opportunity (EEO) Statement\nBright 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.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. 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