Finding the best job has never been easier
Share
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
What you will bring:
5+ year of relevant technical experience
Strong experience with RHEL or other Linux distributions
Advanced level of experience with Kubernetes
Experience with hardware accelerators (e.g., GPUs, FPGAs) for AI workloads is a plus
Experience with AI/ML technologies and frameworks (classifiers, pytorch, tensorflow etc)
Technical leadership acumen in a global team environment
Excellent written and verbal communication skills; fluent English language skills
The following is considered a plus:
Recent hands on experience with distributed computation, either at the end-user or infrastructure provider level
Background in DevOps or site reliability engineering (SRE)
Experience with performance analysis tools
Experience with Linux kernel development
The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications.
Pay Transparency
● 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 medical leave, and paid military leave
These jobs might be a good fit