Senior Integration Engineer - AI and Hardware Accelerators

Job Summary:

The Red Hat Ecosystems Engineering group is seeking a Senior Integration Engineer to join our growing team. In this role, you will work with a diverse team of highly motivated engineers on designing and implementing and productizing new AI products, focused on deep integration of AI stack, hardware accelerators and leading OEMs and CCSPs. You will also be working closely with the product management, other engineering groups within Red Hat, and with Red Hat partners and lighthouse customers.

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:

• Play an active role applying RHEL, Kubernetes and Red Hat OpenShift to customer use cases, mostly focusing on AI and Edge

• Work closely with partners and key customers to integrate their workloads on Red Hat’s platforms

• Integrating software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs..)

• Collaborate with hardware and software engineers to ensure optimal integration between Red Hat portfolio and accelerators

• Contribute to the design and implementation of new features

• Perform performance analysis and optimization of AI workloads with accelerators

• Stay up-to-date on the latest advancements in AI frameworks, hardware accelerators and more

• Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices; share use cases for successful experiments with stakeholders for broader use

What you will bring:

• Minimum of 5 years of relevant technical experience

• Strong experience with RHEL or other Linux distributions

• Advanced level of experience with Kubernetes 

• Technical leadership acumen in a global team environment 

• Excellent written and verbal communication skills; fluent English

The following is considered a plus:

• Recent hands on experience with distributed computation, either at the end-user or infrastructure provider level

• Experience with AI/ML technologies and frameworks (classifiers, pytorch, tensorflow etc)

• Background in DevOps or site reliability engineering (SRE)

• Experience with hardware accelerators (e.g., GPUs, FPGAs) for AI workloads

• Experience with performance analysis tools

• Experience with Linux kernel development

#LI-JS1

#AI-HIRING

The salary range for this position is $133,650.00 - $220,680.00. Actual offer will be based on your qualifications.

Pay Transparency

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. 

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 inclusi