Software Engineer

What You’ll Do:

Applications Engineering, part of CoreWeave’s Data Infrastructure organization, builds the software CoreWeave uses to plan and operate its own infrastructure business. Some of that is UNION, our data platform, where anyone in the company can query the lakehouse in plain language and stand up their own dashboards, applications, and agents. The rest is the applications behind decisions like which data centers get which hardware and when, for a company adding gigawatts of capacity a year. Engineering, finance, supply chain, and data center operations all depend on what we ship.

About the role:

You will ship features in UNION and in the applications teams run their processes on, working across the stack: TypeScript with React and Next.js in the browser, Python services running on Kubernetes, and the queries and data models underneath. Some of it is AI-facing, like the natural language interfaces and agents people use to ask questions against governed data. You will take one scoped piece at a time and carry it to production yourself, tests and post-release fixes included, working next to a senior engineer who owns the wider area. The people using it work here, so you will hear from them directly and see your work change how they work within a week or two.

Who You Are:

• 2+ years building production software, or equivalent depth from internships and substantial projects
• Working proficiency in a backend language, Python preferred, and in JavaScript or TypeScript
• Experience building web frontends with a modern framework such as React or Next.js
• Experience building or consuming HTTP APIs in something that ran in production
• Working SQL, including writing and debugging joins and aggregations against a relational database
• Some exposure to AI and LLM development, such as prompting, retrieval, tool calling, or agents
• Familiar with version control, code review, automated testing, and CI/CD

Preferred:

• Experience with containers and deployment tooling such as Docker, Helm, or Kubernetes
• Exposure to data platforms and analytical databases such as Spark, StarRocks, Snowflake, or BigQuery
• Experience building AI-native features such as text-to-SQL interfaces, copilots, or insight generation
• Experience building internal tools that other people relied on day to day

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 want the people using your software to be people you know by name, and you take it personally when it gets in their way
• You want a piece of the product that is yours to own end to end, from the first conversation with a user to the thing running in production
• You work well at speed. Priorities here move with the business, and the problems worth solving tend to arrive on short notice
• When you build an AI feature, you want a way to tell whether it is wrong before a user finds it
• You want to understand the process you are building for, not just the ticket that describes it

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 take off, 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 $101,000 to $134,000. 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).