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.
As Weights & Biases and CoreWeave unite to deliver the most powerful AI development platform, the
Senior Customer Reliability Engineer
plays a critical role in ensuring our highest-value customers achieve exceptional stability, performance, and long-term success.
In this role, you will act as the
technical owner and trusted engineering partner
for a select group of strategic customers. You’ll gain deep insight into their architectures, workloads, and scaling needs, helping them proactively optimize their use of our platform and quickly resolve the most complex issues impacting their success. Your work ensures that our customers can move fast with confidence, while enabling product and engineering teams to focus on building and innovating.
What You’ll Do
- Serve as the primary technical partner for a portfolio of top-tier enterprise customers, owning reliability, performance, and operational success for their critical workloads.
- Develop a deep understanding of each customer’s architecture and ML workloads to provide proactive guidance, best practices, and optimization strategies.
- Troubleshoot and resolve complex problems across Weights & Biases platform, APIs, integrations, and customer environments — driving both immediate fixes and long-term solutions.
- Reproduce, isolate, and document product issues, collaborating closely with engineering to ensure prioritization and sustainable resolution.
- Build tools, scripts, and automation to diagnose issues quickly and enhance internal and customer-facing troubleshooting workflows.
- Provide architectural and operational recommendations to help customers scale experimentation, training pipelines, and generative AI workloads efficiently.
- Mentor support engineers, ensuring consistent technical depth and high-quality guidance across customer interactions.
- Identify patterns across top-tier accounts and advocate for systemic improvements that enhance platform reliability and customer experience.
- Participate in incident response, postmortems, and internal documentation to continually elevate reliability standards.
- Participate in a 24/7 on-call rotation focused on supporting mission-critical customer workloads.
Who You Are
- 5+ years of experience in technical support, customer engineering, production engineering, reliability engineering, or a similar role supporting enterprise or strategic accounts.
- Expert in Python, with strong debugging, profiling, and production-grade development skills.
- Strong background in computer science or software engineering (B.S. in CS or equivalent experience).
- You have strong experience running or supporting large-scale, high-availability systems (Kubernetes/GKE, cloud services, distributed systems, or similar).
- Deep familiarity with the AI/ML ecosystem: training frameworks (PyTorch, TensorFlow), generative AI stack (Hugging Face, LangChain, vector databases), and modern experimentation workflows.
- Skilled at diagnosing distributed systems, APIs, containerized environments, and multi-tenant cloud architectures.
- Exceptional communication skills, with the ability to interface effectively with customer engineering teams, executives, and internal stakeholders.
- Demonstrated success partnering with product and engineering teams to drive reliability improvements and influence roadmap priorities.
- Self-driven, customer-obsessed, and passionate about building reliable, scalable systems and great customer experiences.
- Proficient with monitoring and observability tools (Datadog, Prometheus/Grafana, OpenTelemetry, etc.) for debugging production environments.
Preferred
- Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
- Familiarity with GPU compute environments and distributed model training pipelines.
- Previous experience in SRE, incident management, or cloud platform reliability roles.
- Experience owning reliability for a specific major customer or “tenant” (e.g., dedicated instances, VPC deployments, or on-prem/isolated environments).
- Experience participating in or running on-call rotations and incident management processes.
The base salary range for this role is $98,000 to $130,000. 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: 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.