Why This Job is Featured on The SaaS Jobs
CoreWeave sits in the infrastructure layer that many SaaS companies depend on, and this role targets a particularly current problem space: running AI training and inference workloads reliably on Kubernetes. The emphasis on integrating multiple schedulers and orchestration frameworks signals work at the intersection of platform engineering and productized cloud services, where operational correctness becomes a differentiator.
For a SaaS career, the durable value here is learning how to turn complex distributed-systems behavior into predictable, measurable service outcomes. Ownership of components end to end, plus a metrics-driven focus on latency, utilization, and reliability, maps closely to how mature SaaS platforms scale. Experience designing clean interfaces with adjacent infrastructure teams also transfers well to organizations that operate multi-service platforms with shared primitives.
This position tends to suit engineers who prefer deep systems work over application feature delivery, and who are comfortable being accountable for production behavior through on-call and iterative performance tuning. It is a strong match for someone who wants to build credibility in cloud-native control planes, scheduling, and resource management, especially where GPU or quota constraints shape real customer workloads.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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.
What You’ll Do
As a
Senior Software Engineer II (IC4) on the
AI Workload Orchestration team, you will help build and operate CoreWeave’s Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale.
This platform integrates multiple orchestration and scheduling frameworks such as
Kueue, Volcano, and Ray to support modern AI training and inference workflows. It complements
SUNK (Slurm on Kubernetes) by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration.
You will own meaningful components of the platform, drive reliability and performance improvements, and help scale the system as customer demand and workload complexity continue to grow.
About The Role
- Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling
- Own one or more platform components end-to-end, including design, implementation, testing, and on-call support
- Improve scheduling latency, cluster utilization, and workload reliability through metrics-driven engineering
- Contribute to architectural discussions across services and influence design decisions within the platform
- Work closely with adjacent teams (CKS, infrastructure, managed inference) to ensure clean interfaces and integrations
- Mentor junior engineers and raise the quality bar for code, design, and operations
Who You Are
- 5–8 years of professional software engineering experience in distributed systems, cloud infrastructure, or platform engineering
- Strong experience building production systems in Go (Python or C++ a plus)
- Solid understanding of Kubernetes fundamentals, APIs, controllers, and operating services in production
- Experience working with scheduling, resource management, or quota-based systems
- Proven ability to improve system reliability and performance using data and operational metrics
- Comfortable owning services in production and participating in on-call rotations
Preferred
- Experience with Kubernetes-native orchestration frameworks such as Kueue, Volcano, Ray, Kubeflow, or Argo Workflows
- Familiarity with GPU-based workloads, ML training, or inference pipelines
- Knowledge of scheduling concepts such as quota enforcement, pre-emption, and backfilling
- Experience with reliability practices including SLOs, alerting, and incident response
- Exposure to AI infrastructure, HPC, or large-scale distributed compute environments
Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match.
Why CoreWeave?
About
At CoreWeave, 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. The benefits below reflect our US-based offerings; 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.
