About the Role:
Are you ready to embark on an exhilarating journey of shaping the future of cloud computing? At CoreWeave, we're not just another cloud provider - we're pioneers revolutionizing the industry by putting bleeding edge GPU technology on top of the industry's fastest and most adaptable infrastructure. We are on the hunt for remarkable Solutions Architects who share our passion and possess deep subject matter expertise in one or more of the following domains: Kubernetes, Machine Learning Operations, Distributed Training/Inference , or Networking Engineering.
Why these domains, you ask? Well, Kubernetes and secure & high performance network connectivity lie at the very heart of the CoreWeave platform. On top of this foundation, our customers are building AI/ML and High Performance Computing workloads oftentimes running on the Slurm workload manager that are changing the world.
As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn.
Your role will not only be to engage our customers, but you will also align closely with our engineering team. You will offer valuable insights from the field and have the chance to contribute directly to our product roadmap and development.
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!
What You'll Do:
- Serve as the primary technical point-of-contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings.
- Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
- Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
- Take charge of technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
- Act as a virtual member of CoreWeave's Kubernetes product and 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.
- Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
- Stay abreast 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.
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’ve got some of this under your belt. You have proven experience as a solutions architect or a technical account manager in cloud infrastructure or related industry.
- You’re an expert in your field. You have strong technical expertise in cloud computing concepts, architecture, and technologies, and some hands-on experience in designing and implementing cloud solutions.
- You can break it down for customers. You communicate clearly and with empathy, and have a knack for talking about complex technical concepts to both technical and non-technical audiences.
- You’re a relationship builder. Customer relationships are important to you, and you take the time to understand their requirements and find the optimal solutions to meet their needs.
- You like tackling a gnarly problem. You can analyze complex situations and develop creative and effective solutions.
- You get it done. You’re self-motivated, proactive, and able to work independently and as part of a team.
- You’re curious about what we do. You’re familiar with or interested in Coreweave's cloud infrastructure offerings, or that of a similar cloud platform.
- You’re familiar with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT.
- You’re familiar with the NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL).
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $190,000-$215,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Hybrid Workplace
Successful candidates will be expected to attend onboarding training at our NJ Headquarters within their first several weeks of employment, with subsequent quarterly travel requirements of 1 week duration.
If you reside within a 30-mile radius of our New Jersey, New York, or Philadelphia offices, we're excited for you to join us at the office at least three times a week, recognizing the significance we place on fostering connections, collaboration, and creativity within our office culture. Our commitment to operating as a hybrid workplace underscores our dedication to enabling our employees to tailor their work-life balance to their individual preferences.