About the Role:
Reporting to the Senior Engineering Manager for ML Workflows, this Senior Software Engineer will own the architecture and evolution of core systems in the Weights & Biases platform.
ML Workflows owns what customers use to move models and data through W&B. Artifacts is the versioned data layer that every object logged to W&B runs through. Registry sits on top of it as the organization-wide source of truth for what is production-ready, and it is used by teams at Pinterest, Dropbox, and Canva. Automations is the event and action layer the rest of the platform builds on. Launch is execution infrastructure that runs customer ML and agent workloads.
You will own systems end to end, from design through production reliability, working across the W&B backend, the Python SDK, and the frontend. You will partner closely with product managers, designers, and ML platform engineers, and you will talk directly to enterprise ML teams about their workflows. We hire senior engineers into the organization and match them to a team based on their strengths and interests, which we discuss with you during the interview process.
W&B is part of CoreWeave, so these products are being built onto CoreWeave infrastructure, and there is real room to shape how that happens.
What You'll Do
- Own the architecture and evolution of a core platform area, designing systems that scale to billions of artifacts and high-volume event and job throughput.
- Dive deep into system architecture to find optimization opportunities, solve complex bugs, and make the difficult calls that balance short-term delivery against long-term platform health.
- Work across the stack as the problem requires, from Go backend services and GraphQL APIs to the Python SDK and the TypeScript frontend.
- Lead migrations and re-architecture of systems carrying live customer traffic, keeping the experience seamless for the customers who depend on them.
- Identify and refactor technical debt, improving maintainability and developer productivity.
- Establish engineering patterns and best practices that hold up as the platform grows.
- Collaborate with product and design to turn complex user requirements into clean technical implementations.
- Work directly with customers to understand their ML workflow challenges, and bring that feedback into the product cycle.
- Mentor engineers and raise the technical bar across the team.
What We're Looking For
We expect all of these:
- Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Data Science, Information Systems, or a closely related technical or quantitative field involving substantial coursework in Engineering.
- 8+ years of software engineering experience, including time leading significant technical initiatives or architectural changes
- Strong proficiency in Go, or in another compiled language (C, C++, C#, Rust, Java) with the ability to ramp on Go quickly
- Working proficiency in Python
- Comfort diving into complex systems you did not write, to diagnose and fix difficult bugs across service boundaries
- A track record of mentoring engineers and raising the technical bar around you
- Strong communication, including the ability to explain complex technical decisions to different audiences
And real depth in at least one or two of these, which is also how we work out which team you join:
- Distributed systems and infrastructure. Designing and operating services in production, containers and Kubernetes, cloud infrastructure, orchestration.
- Frontend and full-stack. TypeScript and React, complex state management, frontend performance work, taking a feature all the way through to the UI.
- Data at scale. Schema design, query performance, large-scale storage, and analytical stores such as ClickHouse.
- APIs and developer surfaces. API design, GraphQL query optimization and data fetching strategies, SDKs and client libraries.
- Event-driven systems. Message queues such as Kafka or PubSub, delivery semantics, idempotency, and retries.
We do not expect one person to have all of this. Depth in a couple of these areas and the range to work outside them is what we are after. Experience in ML infrastructure, MLOps, or developer tools is a plus.
The base pay and target total cash for this position range from $182,000 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:
- 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
California Applicants
California Consumer Privacy Act
Equal Opportunity & Accommodations
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.
Skills Required
- Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Data Science, Information Systems, or a closely related technical or quantitative field with substantial engineering coursework
- 8 or more years of software engineering experience, including leadership of significant technical initiatives or architectural changes
- Strong proficiency in Go, or another compiled language such as C, C++, C#, Rust, or Java, with ability to learn Go quickly
- Working proficiency in Python
- Ability to diagnose and fix complex bugs across service boundaries in unfamiliar systems
- Track record of mentoring engineers and raising technical standards
- Strong communication skills and ability to explain complex technical decisions to varied audiences
- Deep expertise in one or two areas including distributed systems and infrastructure, frontend and full-stack development, data at scale, APIs and developer surfaces, or event-driven systems
- Experience in ML infrastructure, MLOps, or developer tools
CoreWeave Compensation & Benefits Highlights
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Healthcare Strength — Offerings include medical, dental, and vision coverage with employer-paid employee premiums cited for U.S. full-time staff, plus mental-health resources such as Spring Health and Calm. Feedback suggests this combination makes healthcare a standout element of the package.
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Parental & Family Support — Paid parental leave, fertility/family-forming support through Carrot, and childcare assistance via Kinside are emphasized. These benefits indicate strong support for caregiving and family planning needs.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a discounted purchase price is available to eligible U.S. employees, alongside equity/stock options in many roles. This structure offers accessible ownership potential in addition to salary and traditional benefits.
CoreWeave Insights
What We Do
CoreWeave, the AI Hyperscaler™, delivers a cloud platform of cutting-edge software powering the next wave of AI. The company's technology provides enterprises and leading AI labs with cloud solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers across the US and Europe. CoreWeave was ranked as one of the TIME100 most influential companies and featured on Forbes Cloud 100 ranking in 2024. Learn more at www.coreweave.com.
Why Work With Us
At CoreWeave we work hard, have fun and move fast! Today we are a small, growing team of intelligent, genuine people, that value different perspectives and approaches to solving complex problems. We foster an environment that champions collaboration and prioritizes innovative solutions. Here, you are surrounded by the best.
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