Senior AI-HPC Cluster Engineer – MLOps
Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn
Location
California + 1 moreAll locations: California, Texas
Posted
21 days ago
Salary
$184K - $356.5K / year
Bachelor Degree8 yrs expEnglishDockerKubernetesLinuxPythonRustGo
Job Description
• Provide leadership and strategic mentorship on the management of large-scale HPC systems including the deployment of compute, networking, and storage
• Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions
• Build and nurture customer and cross-team relationships to consistently support the clusters and address changing user needs
• Support our researchers to run their workloads including performance analysis and optimizations
• Conduct root cause analysis and suggest corrective action
• Proactively find and fix issues before they occur
• Build innovative tooling to accelerate researchers' velocity, troubleshooting, and software performance at scale
Job Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience
- Minimum of 8+ years of experience crafting and operating large scale compute infrastructure
- Experience with AI/HPC job schedulers and orchestrators, such as Slurm, K8s or LSF
- Applied experience with AI/HPC workflows that use MPI and NCCL
- Proficient in using Linux including Centos/RHEL and/or Ubuntu Linux distributions
- A solid understanding of container technologies like Enroot, Docker and Podman
- Proficiency in one scripting language (Python, Bash) and at least one compiled language (Golang, Rust, C, C++...)
- Experience analyzing and tuning performance for a variety of AI/HPC workloads
- Excellent problem-solving to analyze complex systems, identify bottlenecks, and implement scalable solutions
- Excellent communication and teamwork skills, with the ability to work effectively with diverse teams and individuals
- Passion for continual learning and staying ahead of new technologies and effective approaches in the HPC and AI/ML infrastructure fields.
Benefits
- equity
- benefits
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