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NVIDIA

Senior Field Applications Engineer

NVIDIA is hiring a Senior Field Applications Engineer in Bengaluru, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include GPUs, Pcie and system design.
  • Level classifies it as a senior role.
  • Level lists 2,600+ other open roles at NVIDIA.

AI in this role

Provide technical field application support and system design expertise for NVIDIA data center and GPU products.

gpuspcie
system-designhardware-debuggingcustomer-support

We are currently seeking a Senior Field Applications Engineer to join our SA Team. At NVIDIA, we are leading the AI computing revolution, crafting innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in introducing our groundbreaking GPU products to various deployments, from data centers to edge computing. If you have a strong passion for system design and a successful history of engaging with customers on a technical level, this is an excellent opportunity for you to make a substantial contribution.

What you'll be doing:

  • Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution until system Goes-live..
  • Offer in-depth technical assistance to OEMs, Tier-1 suppliers, and design houses, ensuring ease of qualification and assisting in issues.
  • Work closely with customers on joint development initiatives, providing technical expertise to create tailored solutions that meet their requirements.
  • Perform detailed technical analysis, including circuit/board troubleshooting and FAR issue resolution, to ensure products meet customer criteria
  • Actively work towards achieving the Design Wins with Manufacturers
  • Develop technical solutions including hardware & software demos required for system designs.
  • Provide onsite support to solve hardware and software problems.
  • Be a technical specialist on NVIDIA Datacenter products
  • Establish strong communication channels and collaborative relationships with internal teams to ensure a positive end customer experience.

What we need to see:

  • BS or MS in Engineering, Electrical Engineering or Computer Science (or equivalent experience).
  • 8+ years of work-related experience in the high-tech electronics industry, particularly in system design or FAE support roles.
  • Hands-on experience with hardware bring-up, board-level validation, or system qualification. Understanding of L1-L10 server test levels and how each stage maps to OEM qualification milestones
  • Knowledge of PCIe and other high-speed communication interfaces. Familiarity with BMC/IPMI, BIOS/UEFI, or system firmware debugging
  • Understanding of thermal design fundamentals and how component placement drives system temperatures
  • Exposure to AI or data centre infrastructure: understanding how GPUs fit into a rack, how cooling and power are provisioned, and how workloads are deployed, Capable of excelling in a dynamic, constantly evolving environment.
  • Remarkable talent for effectively managing multiple initiatives and priorities. Strong time-management and organizational skills for coordinating complex projects.
  • Excellent written and oral communication skills in English, with the ability to collaborate effectively with both Business and engineering teams.

Ways to stand out from the crowd:

  • 8+ years of working experience in crafting systems / FAE Role.
  • In-depth understanding of CPU, GPU and server Baseboard Designs.
  • Experience with ARM and NVIDIA GPU development.
  • Track record of driving design wins or qualifications at OEMs or CSPs
  • Direct experience working with HGX, DGX, or MGX platform designs

How we rate this

Senior Field Applications Engineer at NVIDIA rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

System DesignHardware DebuggingCustomer SupportGPUsPcie

Questions you could be asked

  1. Tell me about a project where system design was part of your work. What did you do?
  2. Tell me about a project where hardware debugging was part of your work. What did you do?
  3. Tell me about a project where customer support was part of your work. What did you do?
  4. What's a project where you used GPUs hands-on?
  5. Walk me through how you've used Pcie in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: System Design, Hardware Debugging, Customer Support, GPUs, and Pcie. 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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