CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.
The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.
Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.
As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.
What You'll Do
You'll be joining the Launch & Sandboxes team within the ML Workflows organization. Our team owns two interconnected product areas: Sandboxes, W&B's cloud execution environments that let ML practitioners run code in isolated, GPU-enabled containers directly from the W&B platform, and Launch, which handles job launching, compute orchestration, and integration with HPC schedulers. We build the infrastructure that connects W&B's experiment tracking and model development tools to the actual compute where ML work happens, spanning Kubernetes clusters, HPC nodes, and cloud VMs.
About the role
As a Senior Engineer on the Launch & Sandboxes team, you'll work across the full stack of our execution infrastructure, from the backend services that manage sandbox orchestration and billing to the Python SDK that ML practitioners interact with daily. Your day-to-day will involve building and scaling our container orchestration layer, developing SDK integrations that make sandboxes a seamless part of the W&B workflow, and extending our compute integrations for HPC customers. You'll work on real distributed systems problems: container lifecycle management, federated authentication, usage-based billing, and secrets management. This is a backend-heavy role (70% Go, 20% Python, 10% TypeScript/React) where you'll operate across multiple services and occasionally debug infrastructure issues in production.
Like any role at a hyperscaler, this comes with high accountability and ownership. You'll own the systems you build end-to-end, from design through production reliability. We expect engineers to take full ownership of their domain, drive technical decisions with conviction, and hold themselves to a high bar on quality and reliability.
Who You Are
5+ years of professional software engineering experience
Strong proficiency in Go for backend service development
Experience with Python, ideally in the context of SDK or library development
Hands-on experience with Kubernetes (deploying, debugging, writing operators or controllers)
Demonstrated ability to design and operate production distributed systems
Experience with container runtimes and isolation technologies (Docker, containerd, or similar)
Familiarity with gRPC or similar RPC frameworks
Experience with message queues or event streaming (Kafka, PubSub, or similar)
Strong understanding of authentication and authorization patterns (OIDC, API keys, service accounts)
Experience working with cloud platforms (GCP, AWS, or Azure)
Comfortable reading and contributing across multiple codebases and languages
Preferred
Experience with ML infrastructure, ML workflows, or developer tools for data scientists
Familiarity with HPC environments and job schedulers (SLURM, PBS, LSF)
Experience with container isolation technologies (Kata Containers, Firecracker, gVisor)
Background in billing or metering systems with usage-based pricing
Experience building Python SDKs or client libraries with complex auth flows
Knowledge of container registries and image management
Familiarity with Helm charts and infrastructure-as-code for Kubernetes deployments
Experience with secrets management in multi-tenant environments
Previous work on compute orchestration or job scheduling platforms
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 enjoy building infrastructure that ML practitioners actually want to use, and you care about the developer experience as much as the system internals.
You're comfortable navigating ambiguity in a fast-moving product area where the architecture is still evolving.
You've worked at the intersection of platform engineering and user-facing product, and you like being close to both.
Why Us?
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 takeoff, 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 $165,000 to $242,000. 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
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 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:
[email protected]
.
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.