Senior Specialist Field Engineer, CoreWeave
Compute Infrastructure
$188-275k
+ Ability to Participate in Employee Stock Purchase Program
The essential cloud for AI
Be an early applicant
The essential cloud for AI
1001+ employees
Be an early applicant
$188-275k
+ Ability to Participate in Employee Stock Purchase Program
1001+ employees
Company mission
To manage the complexities of AI growth to make supercomputing accessible and push the limits of what's possible.
Role
Who you are
- If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!
- B.S. in Computer Science or a related technical discipline, or equivalent experience
- 7+ years of proven experience as a Solutions Architect, Field Engineer, Infrastructure/Systems Engineer, or Technical Account Manager in Cloud Infrastructure, focusing on building or operating distributed systems or HPC/cloud services, with an expertise focused on bare-metal compute infrastructure and large-scale GPU cluster delivery
- Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
- Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
- Deep expertise with modern rack-scale GPU server hardware (e.g., NVIDIA HGX / GB200-class systems), high-speed interconnects (InfiniBand, NVLink), and the firmware/BMC/BIOS layer
- Expert-level Linux system administration and command-line troubleshooting, paired with strong networking fundamentals (routing, fabric topologies, TCP/IP)
- Hands-on experience bringing up, validating, and operating large GPU clusters—including bare metal node pxe boot, hardware health, fabric validation, and HPC acceptance/performance testing—and integrating bare metal with orchestration layers such as Kubernetes and Slurm
- 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. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk
- You love to help solve challenging technical problems
- You’re curious about the latest and greatest technologies in the AI space
- You’re an expert in managing conflict and achieving mutually beneficial technical outcomes
Desirable
- Experience operating security-sensitive, air-gapped, or otherwise locked-down customer environments
- Experience with scripting and automation related to bare-metal provisioning, infrastructure validation, and lifecycle management (Python, Bash, Ansible, or similar)
- Experience designing AI supercomputers from MEP designs
- Experience delivering bare-metal infrastructure at scale for large strategic customers or AI research labs
- Experience with building solutions across multi-cloud or hybrid environment
What the job involves
- The Field Engineering organization at CoreWeave is dedicated to ensuring every customer running AI workloads at scale has a seamless, reliable, and high-performance experience
- This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform
- Field Engineering aligns closely with internal and customer engineering teams, offering valuable insights from the field and the chance to shape the CoreWeave product roadmap and development
- As a Specialist Field Engineer - Compute Infrastructure at CoreWeave, you'll own the technical path for some of our largest customers as they go from facility and rack design to a validated, production-ready supercomputer
- Working alongside the teams that build and operate each layer, you are the deep technical expert who turns raw data center hardware—racks, GPUs, high-speed fabric, firmware—into reliable compute that customers can train and inference on at scale, spanning infrastructure engineering, provisioning, validation, operations, and support
- You'll engage hands-on across the entire customer lifecycle: leading new GPU cluster bring-up and acceptance, driving InfiniBand/RoCE fabric validation and HPC performance benchmarking, defining how we operate customer bare-metal fleets at rack-level-and-up (IT service, break-fix, network, and firmware), and standing up locked-down, security-sensitive environments for our most strategic AI customers
- You'll partner closely with Data Center Operations, Fleet Operations, Networking, and Product Engineering, and your work in the field will directly shape how CoreWeave delivers compute infrastructure
- Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on bare-metal compute infrastructure and end-to-end cluster delivery within high-performance compute (HPC) environments
- Own the technical path from facility and rack design to a validated, production-ready supercomputer—spanning logical design, infrastructure engineering, provisioning, validation, operations, and support
- Lead bring-up and acceptance of new large-scale GPU clusters, driving InfiniBand/RoCE fabric validation, HPC performance benchmarking (e.g., NCCL, ib_write_bw), and remediation of fabric, optics, firmware, and node-level issues to meet customer performance targets
- Define and operationalize models for managing customer bare-metal fleets at rack-level-and-up—IT service, break-fix, network and firmware management—including Bare Metal as a Service (BMaaS) and customer self-service patterns
- Partner with Data Center Operations, Fleet Operations, and Networking teams to align facility, hardware, and fabric readiness with customer go-live timelines and operational SLAs
- Review and advise on customer-facing technical contract terms, including service scope, operational responsibilities, SLAs, isolation requirements, and support boundaries
- Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments
- Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise
- Act as a virtual member of CoreWeave's Compute Infrastructure, Fleet Operations, and Networking engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions
- Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture
- Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders
- Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption
- Represent CoreWeave at conferences and industry events, with occasional travel as required
Our take
As AI continues to dominate the tech landscape, the demand for faster, more efficient cloud infrastructure is only intensifying. Traditional cloud providers often struggle with the sheer speed and scale required to power advanced AI models, leaving a gap for more specialized players. And that's where CoreWeave comes in, a company purpose-built to handle the heavy computational lift that the AI era demands.
CoreWeave's story is an interesting one too. What began in 2017 as a small crypto mining venture has evolved into one of the leading AI-focused cloud providers in the world. Its data centers are packed with high-end GPUs optimized for machine learning and generative AI, serving major clients like Microsoft and OpenAI. By designing its infrastructure around the needs of modern AI workloads rather than retrofitting older systems, CoreWeave has carved out a distinct and highly valuable niche in the market.
That focus in paying off in a big way too. Analyst project CoreWeave's revenue to soar from $5.3B in 2025 to the mid-$20Bs by 2028, up from just $16M in 2022. While there is competition from tech giants like Amazon and Google, CoreWeave's speed, specialization, and bold investment strategy put in in a very powerful position to keep riding (and helping shape) the AI boom.
Steph
Company Specialist at Welcome to the Jungle
Insights
194% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2024
$1.1bn
SERIES C
May 2023
$200m
SERIES B
Total funding: $1.7bn
Company HQ
Civic Center, New York, NY
Leadership
Michael Intrator
(Co-Founder & CEO)Previously, Michael was a Principal Portfolio Manager at Natsource Asset Management for over 15 years. He also served as the CEO of Hudson Ridge Asset Management before co-founding CoreWeave in 2018.
Brian Venturo
(Co-Founder & CSO)Brian spent nearly 6 years at Natsource Asset Management as a Portfolio Manager before becoming a Partner at Hudson Ridge Asset Management. After co-founding CoreWeave he served as the CTO until 2024 when he moved into his current role of Chief Strategy Officer.
Brannin McBee
(Co-Founder & CDO)Brannin has a history in Proprietary Trading, having previously worked at Windy Bay Power and Active Power Investments. He also served as a VP at Fourth Floor Coastal and as an Associate at Elustria Capital PArtners.
Peter Salanki
(Co-Founder & CTO)Peter Previously served as a Director of Americas at Sandvine. Prior to that, he spent 11 years at Procera Networks as a Solutions Architect, Lead Architect, and Principal Solutions Architect.
Nitin Agrawal
(CFO)Nitin joined CoreWeave in 2024 as CFO. Prior to this, he was the VP of Finance at Google Cloud and CFO at Mapbox. He also spent nearly 5 years at AWS as CFO of Compute Services and 7 years at Microsoft as Group Manager of Finance.
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