Senior Engineer, CoreWeave
$215-254k
+ Discretionary bonus + equity awards
The essential cloud for AI
Be an early applicant
The essential cloud for AI
1001+ employees
Be an early applicant
$215-254k
+ Discretionary bonus + equity awards
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
- Bachelor's / US or Foreign Equivalent in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related STEM fields and five (5) years of experience in the job offered or related role
- Must have five (5) years of experience with:
- Maintaining and deploying Go and Python code in live software systems
- Maintaining and adapting systems that use MySQL and Postgres
- Deploying and optimizing distributed systems on cloud platforms, such as GCP, AWS, Azure
- Building and maintaining using Kubernetes and Docker
- Building, deploying, and developing new features and API (Rest or gRPC)
- Maintaining and adapting systems that use Kafka or Pubsub
- 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
- Work Schedule: Full time; Mon – Fri (40 hours per week)
- Design, develop, and maintain large-scale data ingestion, storage, and querying systems supporting AI/ML experiment tracking and analytics
- Architect and optimize distributed systems and backend services to improve performance, reliability, scalability, and cost-efficiency across petabyte-scale datasets
- Implement and enhance customer-facing APIs using modern programming languages (e.g., Go, Python, TypeScript) and storage technologies such as MySQL, Bigtable, ClickHouse, Postgres, and Kafka/PubSub
- Build, deploy, and operate services on Kubernetes-based infrastructure, using tools such as Terraform and major cloud platforms (GCP, AWS, or Azure)
- Diagnose and resolve complex production issues related to distributed systems, data pipelines, and storage/query performance
- Collaborate with cross-functional teams (product, revenue, and engineering) to define technical requirements, design system architectures, and deliver new platform capabilities
- Lead long-term architectural initiatives to evolve metrics and storage infrastructure, ensuring secure, reliable, and cost-optimized operation
- Mentor junior engineers by providing technical guidance, code reviews, design feedback, and best practices for high-quality software development
- Telecommuting permitted 100% of the time from anywhere in the U.S
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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