FreshworksSingapore, Singaporejust now
NVIDIAPosted 3d ago
Senior Hardware Application Engineer at NVIDIA scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Senior hardware application engineer providing customer support, validation, and debugging for enterprise datacenter and GPU products.
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 more of these rare opportunities in GPU applications in enterprise solution space.
We are now looking for an Applications Engineer with the ability to focus on customer enablement of enterprise products in a datacenter environment. We seek an expert who is familiar with datacenter hardware design, out-of-band telemetry, diagnostics and cluster management best practices established in the industry. In this role, you will work with enterprise OEM partners to resolve hardware, firmware and software issues, and provide both offsite and onsite support. In this role, you will also work with internal teams to generate hardware design collateral to enable successful customer designs using NVIDIA datacenter products. 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 can understand, explain, and solve customer problems. Must be able to travel to partner sites for onsite support. This position will focus on NVIDIA enterprise datacenter products in workstation and server applications.
What you’ll be doing:
Collaborate with OEM customers through their design, validation and production flows. Provide onsite support for bring-up and debug of OEM server hardware.
Be involved in customer interaction, customer communication via conference calls, or face to face meetings.
Understand system design requirements for HPC and AI workloads to drive platform configuration guides for x86 and ARM servers.
Review customer designs with respect to architecture proposals, thermal, mechanical, schematic, layout, signal integrity, etc. and provide feedback.
Work directly with our NVIDIA customers, and analyze data to answer questions, reproduce errors, resolve same, or escalate customer issues.
Familiarize yourself with performing hardware debug using oscilloscope and analyzers to qualify, validate and solve NVIDIA products for customer systems.
Track, file new bugs and reproduce issues as needed.
Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe and GPU interconnect interfaces including out of band management services.
This position involves local and international travel for on-site support.
Create product specifications, hardware design guides, application notes, and other supporting technical collateral.
What we need to see:
BS or higher in EE, CE or Systems Engineering or equivalent experience.
5+ years relevant experience in supporting enterprise datacenter products for x86 or ARM architecture.
Experience using Cadence Allegro Schematic Design Entry (Concept HDL) design tools and Allegro PCB Layout.
Experience with using lab tools such as oscilloscope, multi-meters and logic analyzers.
Background in power integrity concepts, signal integrity principles, and high-speed board design methodologies.
Experience working with internal cross-functional teams for successful delivery of design collateral.
Previous experience of working as an application engineer or any equivalent customer interacting role (i.e. ability to handle customers) is a plus.
Have strong analytical skills and past experience in reviewing enterprise system design.
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. Must possess excellent written and verbal communication skills.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 26, 2026.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.Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where hardware debug was part of your work. What did you do?
- Tell me about a project where datacenter management was part of your work. What did you do?
- Tell me about a project where thermal analysis was part of your work. What did you do?
- Tell me about a project where pcie was part of your work. What did you do?
- Tell me about a project where signal integrity was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Hardware Debug, Datacenter Management, Thermal Analysis, Pcie, and Signal Integrity. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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