Title: GPU Systems Engineer (CUDA) Location: 100% Remote (Continental United States) Full-time Job 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. As we continue to grow, we’re looking for a skilled GPU Systems Engineer (CUDA) 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. Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years 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 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. 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 networking. - Implement custom operators and fused kernels in PyTorch, JAX, or Triton. - Collaborate with ML engineers to identify performance bottlenecks in training and inference pipelines. - Develop benchmarks and regression tests to safeguard performance over time. - Evaluate new GPU architectures and feature sets, and advise on adoption strategy. - Contribute 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. - Optimize memory hierarchy usage across HBM, L2, shared memory, and registers. - Implement mixed-precision and quantized compute paths that maximize accelerator throughput while preserving numerical fidelity within bounds acceptable for the target workloads. - Document performance characteristics, design decisions, and tuning playbooks for internal teams. - Stay current with GPU architecture, CUDA evolution, and emerging accelerator technologies. 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 [email protected] or contact us at (908) 698-4899. Learn more about Bright Vision Technologies at www.bvteck.com. We 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. We 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. Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans. Position offered by “No Fee Agency.” 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.

• Atuar junto às áreas de negócio no levantamento, entendimento e alinhamento de demandas sistêmicas e relacionadas ao ambiente de dados; • Elaborar especificações funcionais e técnicas para desenvolvimento, sustentação, integração e evolução de soluções; • Conduzir discussões técnicas junto aos times envolvidos, apoiando na definição das melhores soluções, integrações e fluxos de dados; • Apoiar desenvolvedores e equipes técnicas nas definições funcionais, regras de negócio e fluxos sistêmicos; • Criar, revisar e manter documentações técnicas e funcionais atualizadas; • Acompanhar e apoiar fluxos de ingestão, processamento, integração e disponibilização de dados; • Atuar na análise e resolução de incidentes e problemas relacionados aos sistemas, integrações e ambiente de dados; • Participar de iniciativas de melhoria contínua, evolução da arquitetura e otimização de processos e integrações; • Apoiar iniciativas relacionadas à qualidade, rastreabilidade, integridade e governança de dados; • Realizar análises técnicas e funcionais para identificação de impactos, inconsistências e oportunidades de melhoria nos processos e integrações; • Atuar de forma colaborativa entre áreas técnicas e de negócio, promovendo alinhamento e eficiência operacional.

• You will design and ship AI agents and automated workflows that move our revenue motion. Concretely: • Lead enrichment agents built on Clay, Claygents, ZoomInfo, and Snowflake that turn raw inbound and outbound lists into ranked, contextual leads our new logo sales leaders want to call. • Outbound personalization agents that write the first draft of cold outreach using the prospect’s role, recent context, and our positioning, so new logo sales leaders spend their time on judgment, not blank pages. • AI-assisted New Logo Sales Leader research workflows that produce meeting prep, account briefs, and call summaries in minutes instead of hours. • Pipeline pattern detection agents that read our deal data in Snowflake and surface stalled deals, churn risk, and acceleration opportunities to AEs and managers in real time. • Agentic deal review and forecast support that helps managers spot what is real, what is slipping, and what to coach on before each forecast call. • Salesforce and Pardot integrations that wire all of the above into the systems the team already lives in, with clean data flows back to Snowflake and BI.

• IT training on the following topics: Introduction to network technology (network topologies, network components, networking devices such as switches and routers, protocols, OSI model layers) • Setting up an IT workstation (hardware and software) • Current server and client operating systems (Windows, Linux) • Server fundamentals • Virtualization, cloud computing • PowerShell • Data protection (GDPR) and data security • IT security (types of attacks, firewalls, DMZ, encryption, VPN, antivirus and removal) • Exam preparation