High Speed IO Validation Engineer
NVIDIA is hiring a High Speed IO Validation Engineer in Bengaluru, India. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- The posting mentions Python, Perl and Dso among its tools and skills.
- Level classes it as a mid-level role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Nvidia is looking for a High Speed IO Validation Engineer to execute electrical validation using lab equipment and AI-assisted workflows.
NVIDIA is widely considered to be one of the world’s most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people in the world working for us. The NVIDIA Silicon Co-Design Group is seeking a versatile engineer to join our High Speed SERDES IO electrical validation team. Your bench is where silicon meets the signal — where every link train, jitter sweep, eye diagram, and protocol corner gets exercised before the part ships. You drive characterization and debug for IO interconnects across silicon, board, firmware, and driver — designing tests that anticipate rack-scale deployment so marginality surfaces at die-and-board scale, never in a rack. Your decisions show up in link margin, BER, power per lane, and the go/no-go calls that gate samples and production.
This role focuses on industry-leading high-speed interconnects such as PCIe, USB3, Ethernet, and UFS. You will perform bring-up and electrical validation with a strong emphasis on quality, stability, and efficiency. Additionally, you will leverage AI-assisted workflows, automation, and advanced analytics to enhance validation quality, accelerate root cause analysis, and improve engineering efficiency. This position offers the opportunity to make a significant impact in a dynamic, technology-driven environment influencing product lines that span artificial intelligence, consumer graphics, self-driving cars, and more.
What You’ll Be Doing:
Execute electrical validation for PCIe, Ethernet, USB3, and UFS interfaces for NVIDIA GPUs, CPUs, and SOCs, ensuring adherence to signal integrity standards.
Engage with cross-functional engineering teams to facilitate the design and development process, leveraging your knowledge of firmware/driver interactions and circuit design.
Analyze complex HSIO bugs by applying strong debugging techniques and collaborating with various teams for rapid resolution.
Diagnose issues and validate high-speed interfaces using modern lab equipment, including DSOs and BERT, with expert-level proficiency.
Develop and apply test/debug programs using scripting languages (such as Perl and Python) to perform stress and failure analysis on high-speed interfaces.
Innovate methodologies that leverage AI-assisted workflows and data-driven analytics to enhance debugging efficiency and improve validation quality.
What We Need to See:
BS or MS in Electronics Engineering (or equivalent experience) with at least 3 years of relevant experience.
Deep high-speed/SERDES electrical validation and tuning experience, with strong SI and PI fundamentals — S-parameters, eye diagrams, channel margin, crosstalk, return loss, PDN noise, jitter decomposition — and validation experience across silicon and platform boundaries (CoWoS/interposer/substrate, board), translating rack-environment effects into silicon/board characterization.
Expert-level proficiency in electrical validation of PCIe (or similar) protocols, hands-on with lab equipment (DSOs, BERT, protocol analyzers), and scripting skills (Perl, Python) for developing test/debug programs.
Proven experience in building AI solutions specifically in the context of electrical and silicon validation, including designing and implementing AI-assisted workflows and automation frameworks to enhance engineering productivity and validation quality.
If you are energized by challenging problems, real ownership, deep work, and AI-enabled engineering at scale, we’d love to talk to you.
#LI-Hybrid
How we rate this
High Speed IO Validation Engineer at NVIDIA rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where signal integrity was part of your work. What did you do?
- Tell me about a project where electrical validation was part of your work. What did you do?
- Tell me about a project where serdes was part of your work. What did you do?
- Tell me about a project where debugging was part of your work. What did you do?
- Tell me about a project where hardware testing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Signal Integrity, Electrical Validation, Serdes, Debugging, and Hardware Testing. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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