CoreWeave

Systems Engineer, Performance

Sunnyvale, CA Bellevue, WA
USD 165k - 185k
Kubernetes Python Go Bash Docker Machine Learning Spring
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Description

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. The company’s technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.

As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. 

CoreWeave powers the creation and delivery of the intelligence that drives innovation. To learn more about our values, please visit our careers website.

About the Role:

CoreWeave is seeking a highly skilled and motivated Systems Performance Engineer to join our Kernel HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will play a crucial part in designing, developing, and optimizing our bare-metal systems from POST through joining a Kubernetes cluster. The team’s primary responsibilities include maintaining a custom Linux kernel, various OS images (Ubuntu-based), the virtualization stack (kubevirt/qemu/vfio), and the container/pod runtime stack (containerd/nydus/kubelet). You will collaborate closely with cross-functional teams, up stack engineering teams, and stakeholders to ensure our low-level software stack is performant in the context of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate performance assertions.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team’s Stack:

  • Python, Go, bash/sh, C
  • Prometheus, Victoria Metrics, Grafana
  • Linux Kernel (custom build), Ubuntu
  • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
  • Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

  • Develop and maintain tools for establishing systems performance baselines 
  • Develop and maintain performance regression analysis testing automation
  • Development of telemetry for performance analysis across distributed clusters of servers
  • Triage and fix performance issues in Linux
  • Collect data, produce metrics and visualizations that communicate performance information compared to benchmarks; this data should lead to appropriate business decisions and toward greater automation that improves customer experience in relation to performance
  • Collaborate with cross-functional teams to define Linux and OS requirements, specifications, and system architecture in relation to systems performance

Requirements:

  • 5+ years of professional experience in Systems Performance Engineering
  • Extensive, deep experience in Linux internals
  • Fluency with a programming language geared toward automation (Python preferred, but others possible)
  • Experience writing robust, testable code
  • Experience diagnosing and fixing systems performance issues
  • Experiencing with implementing automation testing
  • Ability to effectively prioritize and communicate proposed features and fixes in a remote-employee environment
  • Strong passion for automation, with a commitment to automating processes comprehensively
  • Excellent documentation skills and attention to detail
  • Strong analytical and problem-solving abilities

Nice-to-haves:

  • Familiarity with QA/QE best practices
  • Familiarity with Golang
  • Opinions about software version control and team collaboration 
  • Experience working in Cloud environments
  • Experience as a software engineer writing large-scale applications
  • Experience in open-source community software development
  • Experience with machine learning is a huge bonus

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,000-$185,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Hybrid Workplace

Successful candidates will be expected to attend onboarding training at our NJ Headquarters within their first several weeks of employment, with subsequent quarterly travel requirements of 1 week duration.

If you reside within a 30-mile radius of our New Jersey, New York, or Philadelphia offices, we're excited for you to join us at the office at least three times a week, recognizing the significance we place on fostering connections, collaboration, and creativity within our office culture. Our commitment to operating as a hybrid workplace underscores our dedication to enabling our employees to tailor their work-life balance to their individual preferences.

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, including:

  • Medical, dental, and vision insurance - 100% paid for by the employee
  • Company-paid Life Insurance 
  • Voluntary supplemental life insurance 
  • Short and long-term disability insurance 
  • Flexible Spending Account
  • Tuition Reimbursement 
  • 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

Our Workplace

At CoreWeave, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences.

For those who do not live within 30 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. Onboarding is essential to your success. New employees not based out of an office will be invited to attend onboarding training at one of our hubs within their first month of employment. We continue to foster a collaborative environment by bringing teams together quarterly.

 

California Consumer Privacy Act - California applicants only

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.

CoreWeave
CoreWeave
Cloud Computing Cloud Infrastructure Information Technology Machine Learning

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