ApplySarthi

Manager, System Design Tools and Methodology

Nvidia

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81 open methodology roles across 14 companies are on ApplySarthi right now, most of them in Hyderabad (8), Bengaluru (8), Delhi NCR (1).

What methodology roles keep asking for: Python (59%), Perl (37%), C++ (25%), Deep learning (15%) — counted across their open postings here.

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Interviews for methodology roles keep coming back to Python, Perl, C++, Deep learning. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with System design? Tell me one thing you learned the hard way.
  3. How do you work with developers so the build matches the design?
  4. How do you balance what users ask for with what the business needs?
  5. Walk me through a design from your portfolio, from the problem to the result.

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is the world leader in accelerated computing, and our system products represent some of the most complex engineering challenges in the industry. The System Design Tools and Methodology team sits at the critical intersection of hardware innovation and software excellence, architecting the nervous system of our engineering pipeline. This is not a traditional support role; we define the workflows that enable some of the most sophisticated AI systems globally. You will lead a team of developers in CAD, PLM, and data examination to bridge the gap between electronic, mechanical, and thermal domains. This position offers the unique challenge of influencing the entire product lifecycle, from initial prototyping to global mass production. In optimizing multi-disciplinary engineering ecosystems, this high-impact leadership role will build our future! What you’ll be doing: Driving the evolution of CAD and PLM ecosystems to support rapid, high-fidelity hardware iteration across the enterprise. Architecting data-driven workflows and analytics platforms that provide real-time insights into system design health and project achievements. Partnering with a diverse engineering landscape, including electronic, mechanical, thermal, and validation teams, to eliminate technical friction. Streamlining the transition from prototyping to manufacturing through the implementation of robust, scalable methodologies. Collaborating closely with project and program managers to identify and automate bottlenecks throughout the process of bringing products to market. Leading a high-performance team focused on developing custom utilities, API integrations, and advanced reporting tools that empower thousands of engineers. What we need to see: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, or equivalent experience. 10+ overall years of total experience in system design, CAD administration, or PLM workflow development. 4+ years of direct people management or technical leadership experience within a complex engineering environment. A comprehensive understanding of the hardware product development lifecycle (PDLC), from conceptual design to mass production operations. Demonstrated ability to lead and influence multi-functional collaborators across engineering, operations, and applications teams. Strong technical background in implementing or customizing enterprise-level engineering tools (e.g., Dassault, Cadence, PTC, or similar). Experience employing data analytics to drive process improvements and engineering efficiency. Ways to stand out from the crowd: Consistent record of running multi-disciplinary CAD environments with a focus on ECAD/MCAD integration. Experience using Python or other scripting languages to develop custom automation and extend tool functionality. Background in large-scale PLM migrations or implementing company-wide NUDD (New, Unique, Different, Difficult) risk management frameworks. Knowledge of modern data visualization tools for translating complex engineering metrics into actionable executive insights. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 200,000 USD – 322,000 USD for Level 3; and 240,000 USD – 379,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.