Senior Performance and Scale Engineer - Distributed LLM Inference page is loaded## Senior Performance and Scale Engineer - Distributed LLM Inferenceremote type: Hybridlocations: Raananatime type: Full timeposted on: Posted 13 Days Agojob requisition id: R-052141**Job Summary** The Red Hat Performance and Scale Engineering team is looking for a Senior Performance Engineer to join us in the PSAP (Performance and Scale for AI Platforms) team, driving the performance and scalability of distributed inference for Large Language Models (LLMs)Serving modern LLMs for production inference requires distributing the model, the computation, and the requests across numerous specialized hardware accelerators across multiple nodes. This introduces complex performance challenges, from optimizing inter-GPU and inter node communication and kernel execution to minimizing latency under concurrent loads. You will be responsible for characterizing, modeling, and enhancing the performance of these distributed systems, ensuring that Red Hat's AI platforms offer industry-leading throughput, latency, and cost-efficiency.This role needs a seasoned engineer that thinks creatively, adapts to rapid change, and has 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. The border mission of the Performance and Scale team is to establish performance and scale leadership of the Red Hat product and cloud services portfolio. The scope includes component level, system and solution analysis and targeted enhancements. The team collaborates with engineering, product management, product marketing and customer support as well as Red Hat’s hardware and software ecosystem partners.At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.**What you will do**:* Define and track key performance indicators (KPIs) and service level objectives (SLOs) for large-scale, distributed LLM inference services in Kubernetes/OpenShift* Participate in the performance roadmap for distributed inference, including multi-node and multi-GPU scaling studies, interconnect performance analysis, and competitive benchmarking* Formulate performance test plans and execute performance benchmarks to characterize performance, drive improvements, and detect performance issues through data analysis and visualization* Develop 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 bring:*** 3+ years in performance engineering or systems‑level software design* Hands‑on expertise with Kubernetes/OpenShift* Basic understanding of AI and LLMs fundamentals* Fluency in Python (data & ML), strong Bash/Linux skills* Exceptional communication skills - able to translate raw performance numbers into customer value and executive narratives* Commitment to open‑source values**The following is considered a plus:*** Master’s or PhD in Computer Science, AI, or a related field* History of upstream contributions and community leadership* Hands-on experience with Kubernetes/OpenShift* Familiarity with performance observability stacks such as perf/eBPF‑tools, Nsight Systems, PyTorch Profiler, among others* Hands-on experience with modern LLM inference server stack (e.g., vLLM, TensorRT-LLM, TGI, Triton Inference Server).#LI-OA1**About Red Hat**is the world’s leading provider of enterprise 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.**Inclusion at Red Hat** Red 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.At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are.Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond. #J-18808-Ljbffr
An innovative tech company located in Dublin is seeking a Software Engineer to work on a hybrid cloud AI platform. This role involves architecting new features, ensuring product quality, and collaborating in open-source communities. Candidates should possess advanced experience in Kubernetes and Go, along with strong technical leadership capabilities. They will contribute to a culture of continuous improvement in a flexible and inclusive environment. #J-18808-Ljbffr
Job Summary Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation? The Red Hat OpenShift AI (RHOAI) team is looking for a Software Engineer with Kubernetes and AI experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud AI inferencing platforms, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. You’ll join an ecosystem that fosters continuous learning, career growth, and professional development. As a Go developer for one of our OpenShift AI teams, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross‑functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform. Working with teams to build end user experiences that delight customers should energize you. What you will do Architect and lead implementation of new features and solutions for RHOAI Innovate in the AI/MLOps domain by participating in upstream communities Provide technical vision and leadership on critical and high impact projects Ensure non‑functional requirements including security, resiliency, and maintainability are met Write unit and integration tests and work with quality engineers to ensure product quality Use CI/CD best practices to deliver solutions as productization efforts into RHOAI Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members Collaborate with product management, other engineering and cross‑functional teams to analyze and clarify business requirements Utilize and contribute back to a pattern library and wireframes from user experience design counterparts to build a reusable, componentized UI implementation for end users Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts Give thoughtful and prompt code reviews Represent RHOAI in external engagements including industry events, customer meetings, and open source communities Mentor, influence, and coach a distributed team of engineers What you will bring Advanced experience developing applications in Go or Python or another programming language Advanced experience in Kubernetes, OpenShift, or other cloud‑native technologies Expertise in defining, scaling, and enforcing testing strategies, automation frameworks, and CI/CD pipelines across large, distributed systems Ability to quickly learn and guide others on using new tools and technologies, including AI‑assisted development tools Experience with source code management tools such as Git Proven ability to innovate and a passion for staying at the forefront of technology, including quality engineering best practices Excellent system understanding and troubleshooting capabilities, with a focus on scalability, reliability, and performance Technical leadership acumen in a global team environment, including mentoring and coaching engineers at multiple levels Excellent written and verbal communication skills The following will be considered a plus While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess Understanding of how Open Source and Free Software communities work Experience with Kubernetes, OpenShift or other cloud‑native technologies Knowledge or experience working with MLOps and AI technologies #LI-PM1 #AI-HIRING About Red Hat Red 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. Inclusion at Red Hat Red 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. #J-18808-Ljbffr
