Silicon Performance, Power and Binning Tools Engineer

Details

NVIDIA's GPUs and SOCs are world leaders in performance and efficiency, innovating in creative ways to deliver extraordinary solutions across multiple sectors. The Silicon Solutions Team focuses on productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive products.

Responsibilities

• Develop infrastructure for product definition and specifications to build and market the world's fastest power-shipping products.
• Design models and tools to automate and optimize critical stages of product design.
• Emulate silicon and system-level behavior and encapsulate dynamic methodologies to push products to physical limits accurately and reliably.
• Model crucial next-generation product features and collaborate with cross-functional teams to drive them to production.
• Provide creative solutions to sophisticated silicon and system-level problems enabling product shipment.
• Drive new product initiatives across departments by translating market requirements and new hardware/system features into infrastructure needs, tool implementations, and process flows.
• Make critical trade-off decisions on software features analyzing impacts on products and company processes.
• Collaborate with architects, product engineers, chip and board designers, software/firmware developers, applications engineers, and operations teams in a dynamic, high-energy environment.

Requirements

• BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or Systems Engineering (or equivalent experience).
• 4+ years of experience in related hardware/software positions.
• Excellent problem-solving, collaboration, and interpersonal skills; experience working with offshore teams preferred.
• Strong understanding of digital design, circuit analysis, algorithms, computer architecture, silicon speed and power, BIOS, drivers, and software applications.
• Experience with Perl/Python, C/C++, databases, and web applications.
• Strong fundamentals in software algorithms and object-oriented programming; ability to break complex problems into simpler sub-problems and reuse existing solutions.
• Experience with product binning methods, optimization techniques, data analysis, and statistics methods/tools is a plus.

Benefits

• Eligible for equity and benefits.
• NVIDIA is an equal opportunity employer committed to diversity and inclusion.