Full-Time

Technical Lead / Principal Engineer

Updated on 12/20/2024

CoreWeave

CoreWeave

501-1,000 employees

Cloud service for GPU-accelerated workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$185k - $200kAnnually

Senior, Expert

New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Backend Engineering
Software Engineering
Required Skills
gRPC
Kubernetes
Go
REST APIs
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field (Master’s or PhD is a plus), or equivalent industry experience.
  • 10+ years in software engineering, with 4+ years in a technical lead or senior role, designing and building cloud infrastructure solutions.
  • Strong understanding of hardware provisioning, cloud operations, and the unique demands of managing infrastructure at scale.
  • Experience with distributed database principles and data schemas at large production scale.
  • Proficient in building and scaling gRPC and RESTful APIs, with a track record of implementing high-performing and resilient services.
  • Proven ability to lead and influence cross-functional teams, delivering technical direction while ensuring clear and effective communication.
  • A natural problem-solver who thrives on tackling complex, large-scale engineering challenges with creativity, persistence, and precision.
  • Passionate about learning, experimenting with new technologies, and sharing knowledge with colleagues to elevate the entire engineering team.
Responsibilities
  • Architect, Design, and develop robust services primarily in Golang, focusing on gRPC and RESTful APIs to support CoreWeave’s hardware inventory and management systems.
  • Provide strategic technical leadership, mentoring, and guidance to a high-performing engineering team. Foster a culture of innovation, collaboration, and excellence that inspires your peers and drives company-wide technical achievements.
  • Create new tools and solutions that automate hardware provisioning, testing, and cloud operations processes, driving efficiency and reducing manual overhead.
  • Work closely with cross-functional teams, including our Fleet Reliability Engineering, Hardware Engineering, Kubernetes engineering, and Data Platform Engineering along with external vendors and upstream open source communities to ensure cohesive and reliable integration across services.
  • Lead decision-making on key technical approaches, considering both current needs and long-term strategic growth for our infrastructure services.
  • Stay on the cutting edge of GPU and cloud technologies. Proactively integrate emerging advancements to ensure our products maintain a competitive edge in a rapidly evolving market.

CoreWeave offers cloud computing services that specialize in GPU-accelerated workloads, which are crucial for tasks like artificial intelligence, machine learning, and visual effects rendering. Clients can access these powerful computing resources on a pay-as-you-go basis, avoiding the need for costly hardware investments. The company uses a bare metal serverless Kubernetes platform to enhance performance while reducing operational burdens for clients. CoreWeave stands out by providing a diverse selection of NVIDIA GPUs, allowing clients to optimize their performance and costs.

Company Stage

Private

Total Funding

$1.6B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

35%

1 year growth

146%

2 year growth

828%
Simplify Jobs

Simplify's Take

What believers are saying

  • CoreWeave's partnership with Dell enhances AI cloud services with cutting-edge hardware.
  • The planned Canadian data center with Cohere expands infrastructure for growing AI demands.
  • $600M funding for a Virginia data center supports scaling operations and AI advancements.

What critics are saying

  • Competition from AMD-backed Vultr may lead to price wars and reduced market share.
  • Potential delays in Virginia data center completion could impact market expansion.
  • Over-reliance on Dell hardware poses risks if supply chain disruptions occur.

What makes CoreWeave unique

  • CoreWeave specializes in GPU-accelerated workloads for AI, ML, and VFX rendering.
  • Their infrastructure uses bare metal serverless Kubernetes for high performance and efficiency.
  • CoreWeave offers a pay-as-you-go model, providing flexibility and scalability to clients.

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