Senior Software Engineer, CoreWeave
Physical AI
$98-130k
The essential cloud for AI
Be an early applicant
The essential cloud for AI
1001+ employees
Be an early applicant
$98-130k
1001+ employees
Company mission
To manage the complexities of AI growth to make supercomputing accessible and push the limits of what's possible.
Role
Who you are
- 6+ years of software engineering experience
- Solid software engineering breadth across deployment and CI/CD, automated testing, and production reliability (observability, incident response)
- Experience with distributed systems, building and operating backend services end-to-end
- Experience designing APIs and service interfaces
- Security-minded development, including authentication/authorization (e.g., OAuth) and secure-by-default practices
- Strong Python development skills with production experience
- Experience with Kubernetes in production
- Familiarity with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar)
- Cloud platform experience (AWS preferred, Azure & GCP a plus)
- Familiarity with data processing frameworks (Spark, Athena, Ray, or similar) a plus
- Strong technical communication and collaboration skills
- 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
- Technical Excellence: You write clean, maintainable code and design systems that scale
- Operational Rigor: You care about testing, deployments, and what happens after code ships – reliability, monitoring, and on-call health
- Pragmatic Problem-Solver: You balance perfectionism with shipping, making smart trade-offs between short-term delivery and long-term goals
- Strong Leadership: You proactively identify problems and drive solutions forward
- Mentorship Mindset: You elevate others through knowledge sharing and patient guidance
- Ownership Mentality: You take full responsibility for outcomes and drive initiatives to completion
- Customer Obsession: You understand that our success is measured by our customers’ success
- 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
What the job involves
- The Physical AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies
- We’re seeking a Senior Software Engineer to help build and scale our platform as we meet growing demand from the world’s largest engineering companies. This is a hands-on engineering role where you’ll deliver critical features and services across the full software lifecycle – from design and testing to deployment, operations, and reliability. You’ll contribute to our platform’s evolution to a more distributed architecture, helping make it agentic ready for the next generation of AI applications
- Contribute to the ongoing transition from monolithic to distributed architecture
- Help design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations
- Make sound technical decisions for the components you own, balancing immediate needs with long-term goals
- Write production-quality Python code for critical platform components
- Build and optimize distributed compute services
- Implement reliable workflow orchestration patterns
- Contribute to CI/CD pipelines, automated testing, and deployment for platform services
- Support reliability, observability, and SRE practices (monitoring, alerting, incident response, performance and scaling)
- Support and mentor engineers, sharing knowledge across the team
- Follow and help improve engineering best practices and patterns
- Collaborate with product and engineering peers to turn requirements into technical solutions
- Contribute to technical decision-making and prioritization within your team
- Interview and onboard new engineers
Salary benchmarks
Our take
As AI continues to dominate the tech landscape, the demand for faster, more efficient cloud infrastructure is only intensifying. Traditional cloud providers often struggle with the sheer speed and scale required to power advanced AI models, leaving a gap for more specialized players. And that's where CoreWeave comes in, a company purpose-built to handle the heavy computational lift that the AI era demands.
CoreWeave's story is an interesting one too. What began in 2017 as a small crypto mining venture has evolved into one of the leading AI-focused cloud providers in the world. Its data centers are packed with high-end GPUs optimized for machine learning and generative AI, serving major clients like Microsoft and OpenAI. By designing its infrastructure around the needs of modern AI workloads rather than retrofitting older systems, CoreWeave has carved out a distinct and highly valuable niche in the market.
That focus in paying off in a big way too. Analyst project CoreWeave's revenue to soar from $5.3B in 2025 to the mid-$20Bs by 2028, up from just $16M in 2022. While there is competition from tech giants like Amazon and Google, CoreWeave's speed, specialization, and bold investment strategy put in in a very powerful position to keep riding (and helping shape) the AI boom.
Steph
Company Specialist at Welcome to the Jungle
Insights
194% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2024
$1.1bn
SERIES C
May 2023
$200m
SERIES B
Total funding: $1.7bn
Company HQ
Civic Center, New York, NY
Leadership
Michael Intrator
(Co-Founder & CEO)Previously, Michael was a Principal Portfolio Manager at Natsource Asset Management for over 15 years. He also served as the CEO of Hudson Ridge Asset Management before co-founding CoreWeave in 2018.
Brian Venturo
(Co-Founder & CSO)Brian spent nearly 6 years at Natsource Asset Management as a Portfolio Manager before becoming a Partner at Hudson Ridge Asset Management. After co-founding CoreWeave he served as the CTO until 2024 when he moved into his current role of Chief Strategy Officer.
Brannin McBee
(Co-Founder & CDO)Brannin has a history in Proprietary Trading, having previously worked at Windy Bay Power and Active Power Investments. He also served as a VP at Fourth Floor Coastal and as an Associate at Elustria Capital PArtners.
Peter Salanki
(Co-Founder & CTO)Peter Previously served as a Director of Americas at Sandvine. Prior to that, he spent 11 years at Procera Networks as a Solutions Architect, Lead Architect, and Principal Solutions Architect.
Nitin Agrawal
(CFO)Nitin joined CoreWeave in 2024 as CFO. Prior to this, he was the VP of Finance at Google Cloud and CFO at Mapbox. He also spent nearly 5 years at AWS as CFO of Compute Services and 7 years at Microsoft as Group Manager of Finance.
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