AI Systems Performance Specialist

About This Opportunity

We are representing a confidential technology consulting organization seeking an AI Systems Performance Specialist for a 100% remote position within the continental United States. This is a direct-hire, full-time W2 opportunity offering significant career growth potential with an established client in the enterprise solutions space.

Our talent team at Get A Job.ai is seeking candidates with 10+ years of experience optimizing AI infrastructure, machine learning systems, and high-performance computing environments. This role focuses on maximizing performance, scalability, and cost efficiency across production AI workloads.

Responsibilities

• Optimize AI training and inference pipelines for maximum throughput, low latency, scalability, and infrastructure efficiency
• Analyze and improve GPU utilization, memory management, kernel execution, and multi-GPU performance across production AI workloads
• Design and implement optimization techniques including quantization, pruning, mixed precision, batching, caching, speculative decoding, and model parallelism
• Profile AI applications using industry-standard performance analysis tools and identify bottlenecks across compute, memory, networking, and storage
• Optimize distributed training and inference using NCCL, DeepSpeed, PyTorch Distributed, Ray, MPI, or similar distributed computing frameworks
• Collaborate with AI researchers, ML engineers, platform engineers, and infrastructure teams to improve model performance and production reliability
• Build automated benchmarking frameworks, performance dashboards, monitoring solutions, and regression testing pipelines
• Evaluate emerging AI hardware, GPU architectures, inference frameworks, and optimization technologies
• Drive AI infrastructure cost optimization through efficient resource utilization, cloud optimization, and FinOps best practices
• Mentor engineering teams and provide technical leadership on AI systems architecture, GPU optimization, and performance engineering

What We're Looking For

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related technical discipline
• 10+ years of professional experience in performance engineering, AI infrastructure, machine learning systems, High-Performance Computing (HPC), or distributed computing
• Expert-level programming skills in Python and C++
• Extensive experience optimizing GPU-accelerated AI workloads using CUDA, distributed training frameworks, and modern deep learning libraries
• Strong knowledge of Large Language Models (LLMs), deep learning frameworks, model serving, and production AI inference
• Hands-on experience with profiling tools such as NVIDIA Nsight Systems, Nsight Compute, PyTorch Profiler, TensorBoard, or similar performance analysis tools
• Experience 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 architecture
• Excellent analytical, troubleshooting, communication, and technical leadership skills

Preferred Qualifications:

• Experience optimizing production-scale LLM inference and serving large foundation models
• Hands-on experience with vLLM, TensorRT-LLM, DeepSpeed, Triton Inference Server, CUTLASS, FasterTransformer, or similar AI optimization frameworks
• Knowledge of model compression, KV cache optimization, speculative decoding, and advanced inference optimization techniques
• Experience implementing FinOps strategies for AI infrastructure cost optimization and resource management
• Contributions to AI systems research, open-source AI infrastructure projects, patents, or technical publications
• Familiarity with emerging AI accelerator technologies, including AMD ROCm, Intel oneAPI, or custom AI hardware

Visa Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. Our client is unable to sponsor new H-1B visa petitions for this position.

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and ensure alignment with the role requirements. We then submit qualified candidates to our client for consideration. Please do not contact the client directly—we manage all communication and coordination throughout the hiring process to represent your interests effectively.

Pay

Pay via Get A Job.ai: $130,000–$180,000 annually

Equal Opportunity

Get A Job.ai is committed to equal employment opportunity for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.