AI Performance Optimization Engineer

<span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">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.</span></span><br><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">As we continue to grow, we’re looking for a skilled AI Performance Optimization Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.</span></span><br><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.</span></span><br><br><span style="font-size:15pt;"><span style="font-family:Arial, sans-serif;"><span style="font-weight:bold;">AI Performance Optimization Engineer</span></span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>Job Title:</b> AI Performance Optimization Engineer</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>Location:</b> 100% Remote (Continental United States)</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>Position Type:</b> In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)</span></span><br><b>Salary: $100K - $150K / Annum</b><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>Experience:</b> 6+ years</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>Sponsorship:</b> No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>Employment Type:</b> Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>Engagement:</b> Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>Compensation:</b> Competitive base salary commensurate with experience, plus benefits.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b><span style="font-size:13pt;">Employment Terms & Visa Policy</span></b></span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.</b></span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement.</b> The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">We do not engage in C2C, 1099, or third-party arrangements for this role.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.</b></span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">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.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">No new H1B sponsorship is available for this role.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b>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.</b></span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b><span style="font-size:13pt;">Job Summary</span></b></span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated impact on production AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. 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.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b><span style="font-size:13pt;">Key Responsibilities</span></b></span></span><ul style="margin-bottom:4px;"><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Identify and eliminate bottlenecks across data loading, model compute, communication, and memory.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Implement and tune quantization, sparsity, and pruning strategies to reduce model footprint and accelerate inference.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Optimize distributed training using tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Tune attention implementations using FlashAttention, paged attention, and related techniques.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Implement KV cache optimization, continuous batching, and speculative decoding for LLM serving.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Drive compiler-level optimizations using Triton, XLA, TorchInductor, or TVM, working with the broader ML framework community to land improvements that translate into measurable end-to-end performance gains.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Optimize data pipelines, sharding strategies, and storage access patterns for high-throughput training.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Build and maintain rigorous benchmark suites and regression frameworks across workloads.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Collaborate with ML and platform engineering teams to embed best practices in standard pipelines.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Drive cost-efficiency improvements through model architecture, hardware selection, and scheduling strategies.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Evaluate new hardware and software offerings, and advise on adoption.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Document performance tuning playbooks and share findings broadly across engineering teams.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Stay current with AI systems research and translate advances into production improvements.</span></span></li></ul><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b><span style="font-size:13pt;">Required Qualifications</span></b></span></span><ul style="margin-bottom:4px;"><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Six or more years of experience in performance engineering, ML systems, or HPC.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Strong proficiency in Python and C++.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Hands-on experience optimizing deep learning workloads on modern GPUs.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Deep understanding of distributed training and inference techniques.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Experience with profiling tools across CPU, GPU, and distributed systems.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Familiarity with model compression techniques and their accuracy implications.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Strong grasp of memory hierarchies, communication primitives, and parallelism strategies.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Excellent measurement, debugging, and analytical reasoning skills.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Strong communication and collaboration skills.</span></span></li></ul><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b><span style="font-size:13pt;">Preferred Qualifications</span></b></span></span><ul style="margin-bottom:4px;"><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Experience optimizing LLM inference at production scale.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Familiarity with custom kernel authoring in Triton or CUTLASS.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Experience with FinOps for AI workloads.</span></span></li><li style="margin-bottom:4px;margin-left:8px;"><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Publications or talks on AI systems performance.</span></span></li></ul><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;"><b><span style="font-size:13pt;">How to Apply</span></b></span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Would you like to know more about this opportunity?</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">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.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">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.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.</span></span><br><span style="font-size:11pt;"><span style="font-family:Arial, sans-serif;">Position offered by “No Fee Agency.”</span></span><br> <p>Equal Employment Opportunity (EEO) Statement</p> <p>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.</p> <p>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.</p>

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