Role at a glance
- Salary
- $136K – $264.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3+ years of proven experience in supporting enterprise data center products for x86 or ARM architecture.
- Education
- BS, MS, or PhD in Electrical Engineering, Computer Engineering or Systems Engineering, related field or equivalent experience.
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Senior Hardware Applications Engineer supports customer enablement for NVIDIA enterprise datacenter products in workstation and server applications. The role works with customers and internal teams to resolve hardware, firmware, and software issues and produces technical collateral for enterprise customers.
What You'll Do
- Perform system design reviews for data center applications to ensure partner designs meet NVIDIA guidelines.
- Resolve system integration issues involving thermal, mechanical, electrical, PCIe, GPU interconnect interfaces, and out-of-band...
- Drive platform configuration guides for x86 and ARM servers supporting High Performance Computing and AI workloads.
- Install, configure, and bring up enterprise server hardware.
- Analyze data to reproduce errors, resolve customer issues, or escalate them as needed.
- Create product specifications, hardware design guides, application notes, and other supporting technical collateral.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS, MS, or PhD in Electrical Engineering, Computer Engineering or Systems Engineering, related field or equivalent experience; 3+ years supporting enterprise data center products for x86 or ARM architecture; strong analytical skills and experience reviewing enterprise system design and CPU architecture; understanding of x86 and ARM server architecture, including BMC, security, and out-of-band management; professional-level interpersonal and communication skills; experience with oscilloscopes, multi-meters, logic analyzers, Linux, and Windows OS.
Required
- BS, MS, or PhD in Electrical Engineering, Computer Engineering or Systems Engineering, related field or equivalent experience
- 3+ years of proven experience in supporting enterprise data center products for x86 or ARM architecture
- Strong analytical skills and past experience in reviewing enterprise system design and CPU architecture
- Understanding of x86 and ARM system architecture for server design including BMC, security and out-of-band management
- Professional-level interpersonal skills
- Experience with oscilloscopes, multi-meters and logic analyzers
- Knowledge of Linux and comfort working with Linux environments and Windows OS
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA's deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need hardworking and creative people to help us dive into these exceptional opportunities in GPU application in the enterprise solution space.
We are now looking for an expert Senior Hardware Applications Engineer with the ability to focus on customer enablement of datacenter products, work with customers and internal teams to resolve hardware, firmware and software issues, and provide key technical collateral. This is a highly technical engineering role that is responsible for providing best-in-class support to NVIDIA's enterprise customers. We are looking for someone who has superb interpersonal skills and who can understand, explain, and solve customer problems. This position will focus on NVIDIA enterprise datacenter products in workstation and server applications.
What you'll be doing:
Perform system design reviews for data center applications to ensure partner designs meet NVIDIA guidelines.
Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe and GPU interconnect interfaces including out-of-band management services.
Understand system design requirements for High Performance Computing and AI workloads to drive platform configuration guides for x86 and ARM servers.
Conduct the installation, configuration and bring-up of enterprise server hardware.
Work directly with our NVIDIA customers, and analyze data to answer questions, reproduce errors, resolve same, or escalate customer issues.
Be involved in customer interaction, customer communication via conference calls or face to face meetings
Familiarize yourself with performing hardware debug using oscilloscopes and analyzers to qualify, validate and solve NVIDIA products for customer systems.
Track and file new bugs, and reproduce issues as needed.
Create product specifications, hardware design guides, application notes, and other supporting technical collateral.
What we need to see:
BS, MS, or PhD in Electrical Engineering, Computer Engineering or Systems Engineering, related field or equivalent experience.
3+ years of proven experience in supporting enterprise data center products for x86 or ARM architecture.
Have strong analytical skills and past experience in reviewing enterprise system design and CPU architecture.
Understanding of x86 and ARM system architecture for server design including BMC, security and out-of-band management.
Professional-level interpersonal skills, including your ability to adjust your communication to the technical level of the audience.
An innate capability to accurately and succinctly communicate procedures, results, and recommendations to customers.
Experience with using lab tools such as oscilloscopes, multi-meters and logic analyzers and possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.