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Posted on
Aug 26, 2024
Hardware Engineer, GPU Infrastructure
Roseland
Mid-Senior ICs
Engineering
![CoreWeave](https://cdn.prod.website-files.com/63a2d70ffe5e82865b028e60/6512c26078ced671ca6bb55c_image.webp)
CoreWeave
CoreWeave is a specialized cloud provider focused on GPU accelerated use cases including VFX, AI/ML, Batch Processing and Real Time Experiences. We support countless AI/ML services in the text to image, NLP and broader AI/ML space, reducing client’s infrastructure management requirements with our Kubernetes based serverless GPU cloud offerings.
Job Description
CoreWeave is seeking a highly skilled and motivated Infrastructure/Hardware Engineer, focusing on GPU and PCIe troubleshooting, to join our Hardware Engineering team, reporting to the Director of Compute Architecture. In this role, you will play a crucial part in the design, development, troubleshooting, and optimization of our server hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions.
Responsibilities:
- Troubleshoot complex GPU and PCIe related failures
- Partner with external vendors on failure analysis
- Track component RMAs
- Develop and maintain hardware/firmware management services.
- Automate all aspects of the server hardware lifecycle.
- Serve as the senior point of contact for hardware escalation and troubleshooting.
- Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture.
- Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results.
- Analyze and optimize the performance of hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency.
- Establish processes for internal hardware testing, deployment, and performance optimization.
The ideal candidate will have at least 2 years professional experience with the following:
- Prior experience supporting and troubleshooting data center class GPUs (preferably A100 or newer)
- Proficiency in ansible/python and experience with programmatically interacting with server BMCs, using IPMI or Redfish (preferably Redfish).
- Experience using, integrating and automating data center class GPU diagnostics and troubleshooting tools
- In-depth knowledge of server hardware, components, and management technologies, particularly GPUs and PCIe devices.
- Proven ability to stay updated with the latest industry technologies and trends.
- Previous experience collaborating with hardware vendors.
- Strong passion for automation, with a commitment to automating processes comprehensively.
- Excellent documentation skills and attention to detail.
- Strong analytical and problem-solving abilities.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $160,000/year in our lowest geographic market up to $210,000/year in our highest geographic market. 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.
CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry’s fastest and most flexible infrastructure. CoreWeave builds cloud solutions for compute intensive use cases — VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds. Learn more at www.coreweave.com.
CoreWeave is seeking a highly skilled and motivated Infrastructure/Hardware Engineer, focusing on GPU and PCIe troubleshooting, to join our Hardware Engineering team, reporting to the Director of Compute Architecture. In this role, you will play a crucial part in the design, development, troubleshooting, and optimization of our server hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions.
Responsibilities:
- Troubleshoot complex GPU and PCIe related failures
- Partner with external vendors on failure analysis
- Track component RMAs
- Develop and maintain hardware/firmware management services.
- Automate all aspects of the server hardware lifecycle.
- Serve as the senior point of contact for hardware escalation and troubleshooting.
- Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture.
- Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results.
- Analyze and optimize the performance of hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency.
- Establish processes for internal hardware testing, deployment, and performance optimization.
The ideal candidate will have at least 2 years professional experience with the following:
- Prior experience supporting and troubleshooting data center class GPUs (preferably A100 or newer)
- Proficiency in ansible/python and experience with programmatically interacting with server BMCs, using IPMI or Redfish (preferably Redfish).
- Experience using, integrating and automating data center class GPU diagnostics and troubleshooting tools
- In-depth knowledge of server hardware, components, and management technologies, particularly GPUs and PCIe devices.
- Proven ability to stay updated with the latest industry technologies and trends.
- Previous experience collaborating with hardware vendors.
- Strong passion for automation, with a commitment to automating processes comprehensively.
- Excellent documentation skills and attention to detail.
- Strong analytical and problem-solving abilities.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $160,000/year in our lowest geographic market up to $210,000/year in our highest geographic market. 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.