CoreWeave is the AI Hyperscaler, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: CoreWeave is looking for a Director of Engineering to own and scale our next- 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- 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. Expertise in Kubernetes, service meshes, and CI/CD pipelines for ML workloads; familiarity with Slurm, Ray, or similar orchestration systems is a plus. Hands-on experience with PyTorch, DeepSpeed, Megatron-LM, or other large-scale training frameworks . 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. Bachelor's or Master's degree in CS, EE, or related field (or equivalent practical experience). : 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). Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and training-specific telemetry. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? You'll shape the industry's premier large-scale training platform on the most advanced GPU cloud, enabling customers to train next- foundation models, generative AI, and frontier-scale workloads. If you're driven to shave weeks off training cycles while delivering a seamless developer experience, we'd love to meet you. 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 Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 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 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 A work culture focused on innovative disruption Our Workplace 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 , , , , , , , , , 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: careers@coreweave.com . 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. or , (ii) U.S. lawful permanent (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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