{"id":1229655,"url":"https://alion.io/job/coreweave-principal-engineer-cluster-orchestration","title":"Principal Engineer, Cluster Orchestration","company":{"id":7348,"name":"CoreWeave","domain":"coreweave.com","url":"https://alion.io/company/coreweave","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":76,"open_postings":72,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States","Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":206000,"max":303000,"currency":"USD","period":"year","gross":null,"usd_annual":303000},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CoreWeave","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"SLURM","optional":false},{"name":"Argo Workflows","optional":true},{"name":"Istio","optional":true},{"name":"Knative","optional":true},{"name":"Kubeflow","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-02-27T23:12:48Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-17T22:21:16Z","board_verified":true,"closed_at":null,"days_open":231,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":231},"description":"CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.\nAbout the Role\nCoreWeave runs some of the largest GPU clusters in the world. The AI infrastructure behind those clusters determines how workloads are placed, how resources are shared, and how reliably systems perform under constant pressure.\nAs a Principal Engineer in AI Infrastructure, you will lead the design and evolution of the cluster orchestration systems that make this possible. This includes Slurm, Kubernetes, SUNK, and the control planes that support AI training, inference, and model onboarding at scale.\nYou will define long-term architecture, solve hard scaling problems, and set technical direction across teams. Your work will directly affect how quickly customers can run models, how efficiently we use GPUs, and how reliably the platform behaves at scale.\nWhat You’ll Do\nArchitecture and Technical Direction\nDefine the long-term architecture for CoreWeave’s orchestration platforms across Kubernetes, Slurm, SUNK, Kueue, and related systems.\nAct as a technical authority on scheduling, quota enforcement, fairness, pre-emption, and multi-tenant GPU isolation.\nMake design decisions that balance performance, reliability, cost, and operational complexity.\nOrchestration Platform Development\nLead the evolution of Kubernetes-native control planes, including SUNK and custom operators.\nDesign systems that support workload admission, validation, and rollout, including model onboarding flows.\nIdentify and remove scaling limits across schedulers, control planes, registries, networking, and storage.\nReliability and Operations\nSet standards for reliability, observability, and operational readiness across orchestration services.\nDefine SLOs, alerting, and incident response practices for platform-critical systems.\nEnsure systems behave predictably during failures, peak load, and rapid growth.\nHands-on Engineering\nWrite and review production code for Kubernetes controllers, schedulers, admission logic, and internal tooling.\nMeasure and improve scheduling latency, container startup time, image distribution, and cold-start performance.\nLead architecture and design reviews across infrastructure teams.\nLeadership and Influence\nMentor senior and staff engineers and help grow technical leaders.\nInfluence platform, infrastructure, security, and product teams through clear technical judgment.\nEngage with customers and open-source communities on deep technical topics when needed.\nWho You Are\n15+ years of experience building and operating large-scale distributed systems.\nDeep, practical knowledge of Kubernetes and Slurm internals.\nExperience running GPU-heavy platforms for AI training, inference, or HPC workloads.\nStrong background in Go and cloud-native systems development.\nProven ability to set technical direction across teams without direct authority.\nComfortable making high-impact technical decisions in complex systems.\nBachelor’s or Master’s degree in a relevant field, or equivalent experience.\nPreferred Qualifications\nExperience with systems such as Kueue, Kubeflow, Argo Workflows, Ray, Istio, or Knative.\nBackground in ML platform engineering, model onboarding, or lifecycle management.\nStrong understanding of scheduling strategies, pre-emption, quota enforcement, and elastic scaling.\nTrack record of operating highly reliable systems with clear SLOs and incident processes.\nContributions to Kubernetes, ML infrastructure, or related open-source projects.\nExperience mentoring senior engineers and raising engineering standards.\nIs This a Good Fit?\nYou may be a good fit if you enjoy defining long-term architecture, solving deep systems problems, and working close to the hardware layer of AI platforms. This role suits engineers who care about correctness, scale, and operational discipline, and who want their work to directly shape how AI runs in production.\nWhy CoreWeave?\nAt CoreWeave, AI infrastructure is the product. As a Principal Engineer in cluster orchestration, you will be responsible for systems that directly determine how efficiently GPUs are used, how reliably large models run, and how quickly customers can move from research to production.\nThis role puts you at the center of hard problems in scheduling, resource isolation, and large-scale control planes. You will work on systems where small design choices affect thousands of GPUs and real customer workloads. If you care about building infrastructure that runs under constant pressure, scales without shortcuts, and enables the next generation of AI workloads, CoreWeave is a place where your work will matter.\nThe base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). \nWhat We Offer\nThe range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.\nIn addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:\nMedical, dental, and vision insurance - 100% paid for by CoreWeave\nCompany-paid Life Insurance \nVoluntary supplemental life insurance \nShort and long-term disability insurance \nFlexible Spending Account\nHealth Savings Account\nTuition Reimbursement \nAbility to Participate in Employee Stock Purchase Program (ESPP)\nMental Wellness Benefits through Spring Health \nFamily-Forming support provided by Carrot\nPaid Parental Leave \nFlexible, full-service childcare support with Kinside\n401(k) with a generous employer match\nFlexible PTO\nCatered lunch each day in our office and data center locations\nA casual work environment\nA work culture focused on innovative disruption\nCalifornia Applicants\nCalifornia Consumer Privacy Act \nEqual Opportunity & Accommodations\nCoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.\nAs part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: .\nExport Control Compliance\nThis position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. 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