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Location: Bengaluru
Company: NVIDIA
What you’ll be doing
- Drive silicon power productisation from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterisation, and optimisation.
- 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 characterisation methodologies that decide silicon binning, product specifications, productisation decisions, and customer guidance.
- Use AI/ML and data-driven methods to analyse characterisation & 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, characterisation, validation, productisation, 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.
Preferred
- Experience with Windows/Linux systems, low-power states, power controllers, silicon power, device physics, or power delivery.
- Contributions that improved silicon bring-up, characterisation coverage, pre/post-silicon correlation, debug efficiency, or productisation methodology.
- Experience with power modelling, silicon binning, and productisation.
- Experience applying AI/ML to engineering workflows, such as debug assistants, characterisation analytics, or automated anomaly and trend detection.
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