Level

NVIDIA

Hardware Engineer, Silicon Power & Productization

NVIDIA is hiring a Hardware Engineer, Silicon Power & Productization in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Hardware engineer driving silicon power productization, characterization, and optimization for AI systems.

silicon-bring-uppower-modelingthermal-controlhardware-debuggingdata-analysis

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth!

Every major NVIDIA silicon product family—from the chips powering AI and datacentre systems to gaming, professional, embedded, and automotive platforms—passes through our productization work on its way to production.

 

NVIDIA’s Silicon Co-Design Productization team works from pre-silicon strategy and feature development through bring-up, characterization, correlation, and optimization. Our charter spans power & performance modelling, bring up & tuning of power & and thermal controllers; and system-level optimization that ultimately shape how NVIDIA products are configured, binned, specified, and shipped.


What you'll be doing:

  • Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterization, and optimization.
  • Partner with architecture and design teams to identify improvements, validate features, and help translate them into production-ready solutions.
  • Characterize and tune controller behavior across workloads, operating conditions, silicon variation, and product power and thermal limits.
  • Build power and performance models and characterization methodologies that decide silicon binning, product specifications, productization decisions, and customer guidance.
  • Use AI/ML and data-driven methods to analyse characterization & telemetry data, identify anomalies & trends; and accelerate debug across silicon, board, power delivery, firmware, and software.

What we need to see:

  • Bachelors/ Masters in Electronics Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • 3+ years of proven experience in silicon bring-up, characterization, validation, productization, or a related hardware field.
  • Understanding of silicon power and performance, including process technology, voltage, frequency, workloads, and operating conditions.
  • Experience with system-level hardware debugging and interactions across silicon, board hardware, firmware & software.
  • Data analysis and problem-solving skills—you can turn measurements into hypotheses and design experiments to test them.

Ways to stand out from the crowd:

  • Experience with Windows/Linux systems, low-power states, power controllers, silicon power, device physics, or power delivery.
  • Contributions that improved silicon bring-up, characterization coverage, pre/post-silicon correlation, debug efficiency, or productization methodology.
  • Experience with power modelling, silicon binning, productization.
  • Experience applying AI/ML to engineering workflows, such as debug assistants, characterization analytics, or automated anomaly and trend detection.

Each new process node and architecture brings power challenges that simulation alone cannot answer. This team works where architecture, design, silicon, systems, firmware, and software meet—with the opportunity to influence both how new silicon is built and how it ultimately ships. If you want to get close to new silicon, use data and AI tools to solve problems across engineering boundaries, and help turn first silicon into products at scale, we'd like to hear from you.

 

With competitive salaries, generous benefits package and an outstanding culture, we are broadly recognized as one of the technology world’s most desirable employers. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, or disability status.


#LI-Hybrid


How we rate this

Hardware Engineer, Silicon Power & Productization at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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. Open the description and count.

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

Silicon Bring UpPower ModelingThermal ControlHardware DebuggingData Analysis

Questions you could be asked

  1. Tell me about a project where silicon bring up was part of your work. What did you do?
  2. Tell me about a project where power modeling was part of your work. What did you do?
  3. Tell me about a project where thermal control was part of your work. What did you do?
  4. Tell me about a project where hardware debugging was part of your work. What did you do?
  5. Tell me about a project where data analysis was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Silicon Bring Up, Power Modeling, Thermal Control, Hardware Debugging, and Data Analysis. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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