Senior Performance Engineer - AI Platforms (PSAP Team)

About The JobThe Red Hat Performance and Scale Engineering team is seeking a Senior Performance Engineer to join the Performance and Scale for AI Platforms (PSAP) team. In this role, you will help drive the performance and scalability of distributed inference for Large Language Models (LLMs) as part of the llm-d open source project.Serving modern LLMs in production requires distributing models, computation, and requests across specialized hardware accelerators and multi-node environments. In this role, you will characterize, model, and optimize these systems to deliver industry leading throughput, latency, and cost efficiency across Red Hat’s AI platforms.We are looking for an engineer who is curious, adaptable, and excited to work at the intersection of distributed systems, performance engineering, and AI. You will join a highly collaborative, open source driven team focused on advancing performance across Red Hat’s product and cloud services portfolio.At Red Hat, open source principles guide how we build and innovate. We encourage teams to thoughtfully leverage AI to improve workflows, reduce complexity, and unlock higher impact work.What You Will DoDefine and track key performance indicators (KPIs) and service level objectives (SLOs) for large-scale, distributed LLM inference services in Kubernetes/OpenShiftParticipate in the performance roadmap for distributed inference, including multi-node and multi-GPU scaling studies, interconnect performance analysis, and competitive benchmarkingFormulate performance test plans and execute performance benchmarks to characterize performance, drive improvements, and detect performance issues through data analysis and visualizationDevelop and maintain tools, scripts, and automated solutions that streamline performance benchmarking tasks.Collaborate with cross-functional engineering teams to identify and address performance issues. Partner with DevOps to bake performance gates into GitHub Actions/OpenShift 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, and official documentation.Represent the team at internal and external conferences, presenting key findings and strategies.What You Will Have5+ years of overall software engineering experience, including at least 3 years focused on performance engineering or systems-level development.Strong understanding of operating systems and distributed systemsFoundational knowledge of AI and LLM inference workflowsProficiency in Python for data and machine learning workflows, along with strong Linux and Bash skillsExcellent communication skills, with the ability to translate performance data into clear business and customer valuePassion for and commitment to open source principlesThe Following Is Considered a PlusMaster’s or PhD in Computer Science, AI, or a related fieldExperience contributing to open source projects or leading community initiativesHands on experience with Kubernetes or OpenShiftFamiliarity with performance and observability tools such as perf, eBPF tools, Nsight Systems, and PyTorch ProfilerExperience with modern LLM inference stacks such as vLLM, TensorRT LLM, Hugging Face TGI, and Triton Inference ServerThe salary range for this position is $136,320.00 - $225,090.00. Actual offer will be based on your qualifications.Pay TransparencyRed 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.About Red HatRed Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.BenefitsComprehensive medical, dental, and vision coverageFlexible Spending Account - healthcare and dependent careHealth Savings Account - high deductible medical planRetirement 401(k) with employer matchPaid time off and holidaysPaid parental leave plans for all new parentsLeave benefits including disability, paid family medical leave, and paid military leaveAdditional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.Inclusion at Red HatRed Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.Equal Opportunity Policy (EEO)Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.