Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . 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: 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. 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.

Requirements

Must-haves

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.
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.
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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlrestpythongographqltypescriptrustjavakubernetesreactapi

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness