AI Infrastructure 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 AI Infrastructure 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.AI Infrastructure EngineerJob Title: AI Infrastructure EngineerLocation: 100% Remote (Continental United States)Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)Experience: 6+ yearsSponsorship: 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 roadmapCompensation: Competitive base salary commensurate with experience, plus benefits.Employment Terms & Visa PolicyThis 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 SummaryWe are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work.Key ResponsibilitiesDesign and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurationsBuild scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teamsIntegrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offeringOperate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rateDesign networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communicationBuild observability for AI workloads including utilization, throughput, training stability, and failure-mode analyticsImplement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scaleDrive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizingDevelop developer tooling and paved-road workflows that let researchers launch experiments safely and efficientlyPartner with research and applied ML teams to plan capacity for upcoming training runsImplement security controls, isolation, and access management for multi-tenant AI infrastructureDrive automation across cluster provisioning, lifecycle management, and configuration enforcementMaintain runbooks, capacity dashboards, and operational documentation for the AI platformStay current with AI infrastructure research, accelerator hardware, and emerging open-source AI toolingRequired QualificationsBachelor’s or Master’s degree in Computer Science or a related fieldSix or more years of experience in infrastructure, platform, or HPC engineeringHands-on experience operating GPU clusters or large-scale ML training infrastructureStrong proficiency in Python and at least one systems language such as Go or C++Deep understanding of distributed training, accelerator architectures, and collective communicationExperience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloadsStrong understanding of Linux internals, networking, and high-performance storageExperience with at least one major cloud provider’s ML infrastructure offeringsStrong software engineering practices including testing, CI/CD, and code reviewExcellent communication and cross-functional collaboration skillsPreferred QualificationsExperience operating InfiniBand or RDMA networking at scaleContributions to open-source ML infrastructure projectsFamiliarity with custom orchestrators or research-grade training stacksExposure to frontier model training operationsExperience with FinOps for AI workloadsHow to ApplyWould 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.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) StatementBright 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.Powered by JazzHRg2sNiG3mwO