Hardware Engineer, Silicon Power and Productization

NVIDIA Corporation; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

NVIDIA Corporation in India is seeking a hardware-oriented silicon power productization engineer. You will drive bring-up, characterization, validation, and optimization across pre-silicon to production phases, partnering with architecture teams and applying data-driven methods.

The role emphasizes strong problem solving, system-level debugging, and translating measurements into actionable design decisions to shape product specifications and binning.

Qualifications

• BS/MS in Electronics Engineering or related field.
• 2+ years in silicon bring-up, characterization, validation, productization, or related hardware field.
• Understanding of silicon power and performance, including process tech, voltage, frequency, workloads, and conditions.
• Experience with system-level hardware debugging across silicon, board, firmware & software.
• Data analysis and problem-solving: turn measurements into hypotheses and tests.

Responsibilities

• Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy and optimization.
• Partner with architecture and design teams to identify improvements and translate them into production-ready solutions.
• Correlate silicon behavior with pre-silicon expectations and investigate gaps to root cause.
• Build power and performance models and characterization methodologies for binning and product specs.
• Apply AI/ML and data-driven methods to analyze characterization data and accelerate debugging across hardware and software.

Skills

Silicon bring-up

Characterization

Validation

Productization

Data analysis

Problem solving

Education

BS/MS in Electronics Engineering

Job description

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 low-power features, power & 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.
• Correlate measured silicon behaviour with pre-silicon expectations, investigate gaps, and drive complex issues to root cause.
• 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 issue debug across silicon, board, power delivery, firmware, and software.

What we need to see

• BS/MS in Electronics Engineering, Electrical Engineering, or a related field, or equivalent experience.
• 2+ years of 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 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.