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!
As part of the Silicon Solutions Team, we architect and deliver groundbreaking solutions for productizing NVIDIA's chips into consumer, professional, server, mobile, and automotive markets. Silicon characterization, correlation to arch & design expectations, finalize product specifications, develop productization techniques and infrastructure around it are part of our responsibilities. Dealing with challenges of the latest process node technologies is also part of the work. Join this dynamic team as a Senior System Perf Engineer, and help craft the future of computing in Bengaluru.
What you'll be doing:
- Lead the productization of Performance controllers from pre-silicon planning through bring-up, tuning, validation, and production.
- Collaborate with architecture, design, firmware, and software teams to define controller requirements & features , 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. Maximize the perf and Perf/Watt with-in architectural bottlenecks & limitations, Power/Thermal system limits to provide best customer experience for the products
- Correlate silicon behaviour with pre-silicon expectations, debug & resolve complex problems during bring up and final closed loop performance stage involving silicon HW, firmware, software, power delivery network, system thermals etc.
- Apply AI/ML and data-driven methods to analyze silicon characterization and HW telemetry data, identify anomalies and trends, accelerate controller tuning and improve debug as well as silicon validation execution efficiency.
What we need to See:
- B. Tech or M. Tech in Electronics Engineering stream.
- At least 5+ years of proven experience in silicon validation, system level design, and power/performance optimization.
- Strong understanding of aspects related to silicon power and performance, technology node impacts, Hardware and Software interactions at system level.
- Hands-on experience with silicon bring up, validation and productization
- Good HW architectural understanding and orientation
- Very good problem solving and hardware debugging skills.
- Strong good data analysis and logical reasoning skills.
- Strong familiarity with HW lab environment.
- Must be a great teammate and ready to collaborate with global teams from diverse cultural backgrounds in a high energy environment.
Ways to stand out from the crowd:
- Extensive background in DVFS, voltage/frequency management, HW telemetries, Performance throttling, silicon protection mechanisms on advanced ASIC/SoC products.
- Contributions that improved controller behaviour, silicon performance, power efficiency, thermal management, bring-up/productization methodologies.
- 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
Skills Required
- B.Tech or M.Tech degree in Electronics Engineering
- At least 5 years of experience in silicon validation, system-level design, and power/performance optimization
- Strong understanding of silicon power and performance, technology-node impacts, and hardware-software interactions
- Hands-on experience with silicon bring-up, validation, and productization
- Strong hardware architectural understanding
- Very good problem-solving and hardware-debugging skills
- Strong data-analysis and logical-reasoning skills
- Strong familiarity with hardware lab environments
- Ability to collaborate with global, culturally diverse teams
- Extensive experience with DVFS, voltage/frequency management, hardware telemetry, performance throttling, and silicon protection mechanisms
- Experience improving controller behavior, silicon performance, power efficiency, thermal management, or bring-up/productization methodologies
- Experience connecting simulation, silicon, firmware, and system-level measurements to production tuning
- Experience applying AI/ML to engineering workflows, including controller tuning, characterization analytics, anomaly detection, or debug assistants
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
