Ai Performance Engineer – Openshift Ai Platform

Red Hat; Viseu; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work environment

Remote work options

Resumo da oferta

Red Hat is seeking an AI Performance Engineer to join the Performance and Scale Engineering team focused on OpenShift AI platforms. You will shape performance and scalability across notebooks as a service, data science pipelines, model serving, feature store, edge AI, and distributed training stacks.

You will design and execute performance test plans, investigate cloud and on‑prem infrastructures, and tune OpenShift AI as part of a vibrant open source culture.

Qualificações

• Experience in running performance tests and data analysis.
• Experience with AI technologies and frameworks such as PyTorch/Transformers.
• Experience with system performance engineering and metrics collection tools (iostat, vmstat, sar, perf, Prometheus).
• Programming experience in Python and Linux (RHEL/Fedora/CentOS).

Responsabilidades

• Execute performance and scalability benchmarks against OpenShift AI platform components to drive improvements and detect regressions.
• Develop tools and automation to aid the performance benchmarking work.
• Collaborate with other teams to resolve performance issues.
• Triage, debug, and solve customer cases related to AI performance.
• Publish results, conclusions and best practices via reports and blogs.
• Present results at internal and external conferences.

Conhecimentos

Performance testing

Data analysis

Data visualization

AI frameworks

Python programming

English proficiency

Ferramentas

iostat

vmstat

sar

perf

Prometheus

Descrição da oferta de emprego

Descrição do cargo

The Red Hat Performance and Scale Engineering team is looking for an AI Performance Engineer to join us in the PSAP - Performance and Scale for AI Platforms team.

As recent advances in AI technologies have taken the world by storm, Red Hat has jointly engineered an enterprise grade platform - OpenShift AI, based on open source AI technologies, to help enterprises leverage the full potential of these transformative AI technologies. As part of this team, you will be responsible for the performance and scalability assessments of OpenShift AI platform - that includes but not limited to notebooks as a service, data science pipelines, model serving stack, feature store, edge AI, and a distributed model training stack.

Our goal is to make OpenShift AI the platform of choice for Red Hat's enterprise customers for leveraging AI technologies. You will help us achieve those goals through targeted improvements in the performance and scalability of the OpenShift AI platform. You will be required to formulate and execute performance test plans. You will investigate cloud infrastructure, on-prem hardware, RHEL, OpenShift, and OpenShift AI performance tuning knobs.

In addition, you will triage and potentially fix performance issues, create new benchmarking tests and automation tools as needed, and socialize performance results on a regular basis. This role needs an 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 hardware and software partners. Any experience with AI technologies and frameworks is mandatory for the role.

What you will do

Execute performance and scalability benchmarks against various components of the OpenShift AI platform to drive improvements and detect regressions Develop tools and automation to aid the performance benchmarking work Collaborate with other teams to resolve performance issues Triage, debug, and solve customer cases related to AI performance Submit performance benchmarking results to industry consortia Publish results, conclusions, recommendations and best practices via internal test reports, presentations, and external blogs to support our partners and customers.

Participate in internal and external conferences about your work and results What you will bring Experience in running performance tests, data capture, data analysis, and visualization Experience with AI technologies and frameworks (pytorch, transformers, etc) Experience with systems performance engineering and metrics collection tools such as iostat, vmstat, sar, perf, and prometheus.

Programming experience in Python or willingness to learn Experience working with the Linux operating system (RHEL, Fedora or CentOS preferred) Experience with AI technologies and frameworks (pytorch, transformers, etc) Excellent written and verbal language skills in English

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 have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex.

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