Senior Hardware Applications Engineer, Data Center

• 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.

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., * 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

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.