AI Systems Performance Specialist

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 AI Systems Performance Specialist Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually Experience Required: 10+ 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 Bright Vision Technologies is seeking a highly experienced AI Systems Performance Specialist with 10+ years of experience in AI infrastructure, machine learning systems, High-Performance Computing (HPC), and performance engineering. The ideal candidate will optimize AI training and inference workloads for maximum performance, scalability, reliability, and cost efficiency. This role requires deep expertise in GPU optimization, distributed training, Large Language Model (LLM) inference, Python, C++, CUDA, and production AI systems, along with the ability to lead performance optimization initiatives across enterprise-scale AI platforms. Key Responsibilities Optimize AI training and inference pipelines for maximum throughput, low latency, scalability, and infrastructure efficiencyAnalyze and improve GPU utilization, memory management, kernel execution, and multi-GPU performance across production AI workloadsDesign and implement optimization techniques including quantization, pruning, mixed precision, batching, caching, speculative decoding, and model parallelismProfile AI applications using industry-standard performance analysis tools and identify bottlenecks across compute, memory, networking, and storageOptimize distributed training and inference using NCCL, DeepSpeed, PyTorch Distributed, Ray, MPI, or similar distributed computing frameworksCollaborate with AI researchers, ML engineers, platform engineers, and infrastructure teams to improve model performance and production reliabilityBuild automated benchmarking frameworks, performance dashboards, monitoring solutions, and regression testing pipelinesEvaluate emerging AI hardware, GPU architectures, inference frameworks, and optimization technologies to improve enterprise AI capabilitiesDrive AI infrastructure cost optimization through efficient resource utilization, cloud optimization, and FinOps best practicesMentor engineering teams and provide technical leadership on AI systems architecture, GPU optimization, and performance engineering Required Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related technical discipline10+ years of professional experience in performance engineering, AI infrastructure, machine learning systems, High-Performance Computing (HPC), or distributed computingExpert-level programming skills in Python and C++Extensive experience optimizing GPU-accelerated AI workloads using CUDA, distributed training frameworks, and modern deep learning librariesStrong knowledge of Large Language Models (LLMs), deep learning frameworks, model serving, and production AI inferenceHands-on experience with profiling tools such as NVIDIA Nsight Systems, Nsight Compute, PyTorch Profiler, TensorBoard, or similar performance analysis toolsExperience deploying and optimizing AI workloads on AWS, Microsoft Azure, or Google Cloud Platform (GCP)Strong understanding of distributed systems, networking, storage optimization, and AI infrastructure architectureExcellent analytical, troubleshooting, communication, and technical leadership skills Preferred Qualifications Experience optimizing production-scale LLM inference and serving large foundation modelsHands-on experience with vLLM, TensorRT-LLM, DeepSpeed, Triton Inference Server, CUTLASS, FasterTransformer, or similar AI optimization frameworksKnowledge of model compression, KV cache optimization, speculative decoding, and advanced inference optimization techniquesExperience implementing FinOps strategies for AI infrastructure cost optimization and resource managementContributions to AI systems research, open-source AI infrastructure projects, patents, or technical publicationsFamiliarity with emerging AI accelerator technologies, including AMD ROCm, Intel oneAPI, or custom AI hardware Interested in this opportunity? Apply today for immediate consideration! Email your updated resume: jaya@bvteck.com Call or Text: (908) 505-3545 Learn more: 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. Powered by JazzHR UIAoNFI0Z6