Senior Performance Engineer – AI Platforms

About the Job

The Red Hat Performance and Scale Engineering team is seeking a Senior Performance Engineer to join our PSAP (Performance and Scale for AI Platforms) team. In this role, you will drive the performance and scalability of distributed inference for Large Language Models (LLMs) as part of the Red Hat AI Inference Server (RHAIIS) open-source project. You will be responsible for characterizing, modeling, and understanding performance deltas to ensure industry-leading throughput, latency, and cost-efficiency of AI workloads.

This includes using tools like vLLM, Guide

LLM, and PyTorch for example.

This is a dynamic role for a seasoned engineer with a growth mindset who handles and adapts to rapid change, has a strong commitment to open-source values, and the willingness to learn and apply new technologies. You will be joining a vibrant open source culture and helping promote performance and innovation in this Red Hat engineering team.

• Define and track key performance indicators (KPIs) and service level objectives (SLOs) for large-scale, LLM inference services.
• Formulate and execute performance benchmarks utilizing tools like vLLM, Guide
  
  LLM, and PyTorch Profiler and other related tools to characterize performance, drive improvements, and detect issues through data analysis and visualization.
• Develop and maintain tools, scripts, and automated solutions that streamline performance benchmarking and AI model profiling tasks.
• Collaborate closely with cross-functional engineering teams to identify and address critical performance bottlenecks within the architecture and inference stacks.
• Partner with Dev Ops to bake performance gates into Git Hub Actions/RHAIIS Pipelines.
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
• Triage field and customer escalations related to performance; distill findings into upstream issues and product backlog items.
• Publish results, recommendations, and best practices through internal reports, presentations, external blogs, technical papers, and official documentation.
• Represent the team at internal and external conferences, presenting key findings and strategies.

• 5+ years of experience in performance engineering or systems-level software design.
• Hands-on experience with operating systems, distributed systems, or system-level performance tooling.
• Understanding of AI and LLM fundamentals.
• Fluency in Python (data & ML) and strong Bash/Linux skills.
• Knowledge of performance benchmarking and profiling for LLMs.
• Exceptional communication skills—able to translate raw performance data into customer value and executive narratives.
• Commitment to open-source values.

• Master’s or PhD in Computer Science, AI, or a related field.
• History of upstream contributions and community leadership.
• Experience publishing blogs or technical papers.
• Hands-on experience with any of the following Kubernetes/Open Shift/RHAIIS/RHELAI.
• Familiarity with performance observability stacks such as perf/eBPF tools, Nsight Systems, PyTorch Profiler, among others.
• Hands-on experience with modern LLM inference server stacks (e.g., vLLM, Tensor
  
  RT-LLM, TGI, Triton Inference Server).

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family…