We're seeking a skilled Senior Electrical Engineer to join our team. As a senior member of our engineering team, you will design servers, develop and review board designs, collaborate with exceptional engineers developing cutting-edge AI/ML hardware, and review JDM's high-speed design. You will also conduct schematics, board design, and power design reviews, take design from concept to mass production, and work closely with manufacturing teams. To be successful in this role, you should have at least 5 years of internal design experience developing complex hardware systems with high-speed design interfaces, strong skills in electrical board design, and solid experience with high-speed interfaces. You should also be able to negotiate and reach consensus with developers and fellow colleagues from interdisciplinary teams, as well as have excellent documentation skills.
\nIn addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, and a casual work environment.
\nXML job scraping automation by YubHub
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\nThis role offers the unique opportunity to work on some of the largest scale supercomputers in the world – a rare chance to operate at such a significant scale.
\nResponsibilities
\nDesign, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.
\nOwn the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.
\nServe as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.
\nDevelop and maintain automation and tooling using Bash and/or Python to improve cluster reliability, observability, and operational efficiency.
\nPartner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.
\nDrive work forward independently by navigating ambiguity and technical roadblocks, delivering incremental improvements that get capabilities into users’ hands quickly.
\nQualifications
\nDo you have a Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP, OR equivalent experience?
\nPreferred Qualifications
\nMaster’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 6+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 6+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP, OR equivalent experience.
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\nMicrosoft AI are looking for a talented Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments.
\nAbout the Role
\nWe work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. Our team is responsible for Copilot, Bing, Edge, and generative AI research.
\nAccountabilities
\nThe Candidate we're looking for
\nExperience:
\nTechnical skills:
\nPersonal attributes:
\nBenefits
\nXML job scraping automation by YubHub
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