Director Engineering, AI/ML
hace 19 días
Sunnyvale
Job DescriptionCoreWeave 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 You'll Do: CoreWeave is looking for a Director of Engineering to own and scale our next-generation Large Scale Training Platform. In this highly technical, strategic role, you will lead a world-class engineering organization to design, build, and operate the fastest, most cost-efficient, and most reliable GPU training services in the industry. Your charter spans everything from distributed training frameworks (e.g., Megatron-LM, DeepSpeed, PyTorch FSDP, Horovod) and large-scale data pipelines to checkpointing, fault tolerance, and developer-friendly APIs - all delivered on CoreWeave's unique accelerated-compute infrastructure. About the role: • Vision & Roadmap - Define and continuously refine the end-to-end Training Platform roadmap, prioritizing scalability, throughput, and cost optimization for training the largest AI models. Set technical standards for distributed training frameworks, model/data parallelism strategies, mixed-precision techniques (FP8, BF16), and advanced checkpointing/restart mechanisms., • Platform Architecture - Design and implement a Kubernetes-native training control plane capable of managing multi-thousand GPU jobs with high reliability and efficiency. Build solutions for elastic distributed training, including job-aware autoscaling, dynamic GPU allocation, and multi-node communication optimizations using NCCL, SHARP, and RDMA. Integrate data pipeline optimizations, such as caching layers, streaming datasets, and sharded data loading to eliminate I/O bottlenecks. Implement state-of-the-art distributed training optimizations—including tensor/sequence parallelism, pipeline parallelism, optimizer sharding, activation checkpointing, and gradient compression—to push the limits of performance and scale., • Operational Excellence - Establish SLOs/SLA dashboards, real-time observability, and self-healing mechanisms for thousands of concurrent training jobs across multiple regions. Develop cost-performance trade-off tooling that enables customers to seamlessly select hardware configurations that minimize time-to-train while optimizing for cost. Build robust fault tolerance and automatic recovery workflows to handle large-scale preemption, checkpoint failures, or data pipeline interruptions., • Leadership - Hire, mentor, and grow a diverse team of engineers and managers passionate about building the world's leading AI training platform. Foster a customer-obsessed, metrics-driven engineering culture with crisp design reviews, deep technical rigor, and blameless post-mortems., • Collaboration - Partner closely with Product, Orchestration, Networking, and Storage teams to deliver a unified CoreWeave experience. Work directly with flagship customers training frontier models to gather feedback, optimize workflows, and shape the platform roadmap.Who You Are:, • 10+ years building large-scale distributed systems or HPC/cloud services, with 5+ years leading engineering teams., • Proven success delivering mission-critical distributed training platforms or large-scale ML pipelines., • Deep understanding of GPU/CPU resource allocation, NUMA-aware scheduling, interconnect topologies (NVLink, InfiniBand), and large-scale data handling., • Experience with data, model, tensor, and pipeline parallelism, and advanced optimizer techniques for training massive models., • Background in scaling pretraining of LLMs or multimodal models to thousands of GPUs., • Excellent communicator capable of translating complex engineering trade-offs into clear business outcomes., • Experience operating multi-region training clusters for hyperscalers or large AI labs., • Familiarity with open-source ML training frameworks (e.g., DeepSpeed, FSDP, Alpa, MosaicML). At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The 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). What We Offer The 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. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • 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, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave 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. As 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: . Export Control Compliance This 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. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
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