Senior Silicon Engineer, Power and Thermal Controllers

Overview

• NVIDIA has continuously reinvented itself over two decades.
• Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
• More recently, GPU deep learning ignited modern AI — the next era of computing.
• NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world.
• This is our life's work to amplify human imagination and intelligence.
• Make the choice to join us today! Join NVIDIA's dynamic team as a Senior Hardware Engineer, Power & Thermal Controllers, and help craft the future of computing in Bengaluru.
• As an NVIDIAN, you'll tackle complex challenges across architecture, silicon, firmware, software, and production, demonstrating your outstanding judgment and technical expertise.
• Our team plays a key role in ensuring NVIDIA silicon products are tuned, configured, and protected from power and thermal excursions.
• This allows them to operate flawlessly and efficiently within their built limits.
• What you will be doing: Lead the productization of power and thermal controllers from pre-silicon planning through bring-up, tuning, validation, and production.
• Collaborate with architecture, design, firmware, and software teams to define controller requirements, identify improvements, and translate new capabilities into production-ready solutions.
• Characterize and tune controller behaviour across workloads, operating conditions, silicon variation, and product power and thermal limits.
• Correlate silicon behaviour with pre-silicon expectations and resolve complex problems involving silicon, firmware, software, power delivery, thermal, and performance to identify root causes and bring issues to resolution.
• Develop and execute tuning strategies that improve power and thermal control while increasing product performance within built operating limits.
• Apply AI/ML and data-driven methods to analyze characterization and telemetry data, identify anomalies and trends, accelerate controller tuning, and improve debug efficiency across silicon programs.
• What we need to see: Bachelors/Master in Electronics Engineering, Electrical Engineering, or a related area, or equivalent experience.
• Over 5+ years of experience in silicon power/performance, post-silicon bring-up, power or thermal controller characterization, productization, or a related hardware field.
• Solid grasp of silicon power, performance, and thermal characteristics, encompassing voltage/frequency relationships, workloads, operating conditions, and system constraints.
• Hands-on experience with silicon bring-up, characterization, validation, and system-level hardware debugging.
• Experience analyzing hardware, firmware, software, power delivery, and thermal interactions and resolving unclear technical problems to their root cause.
• Strong data-analysis and problem-solving skills—you can turn silicon measurements into hypotheses, build experiments, and use the results to drive engineering decisions.
• Ways to stand out from the crowd : Extensive background in power or thermal controllers, DVFS, voltage/frequency management, telemetry, throttling, performance management, or silicon protection mechanisms on advanced ASIC/SoC products.
• Contributions that improved controller behaviour, silicon performance, power efficiency, thermal management, bring-up, or productization methodology across programs.
• Experience connecting controller behaviour across simulation, silicon, firmware, and system-level measurements and converting findings into production tuning.
• Experience applying AI/ML to engineering workflows, such as controller tuning, characterization analytics, anomaly detection, or debug assistants deployed beyond personal use.
• With every new architecture and process node, balancing performance against power and thermal limits becomes tougher.
• Our controllers are at the forefront of this issue: drawing out the performance the silicon was crafted to achieve while shielding it when workloads push its limits.
• If you like understanding dynamic silicon behaviour, addressing hardware-software challenges, and influencing NVIDIA products at scale, we'd love to connect! #LI-Hybrid.