NVIDIA

NVIDIA

Posted via Workday

Senior Software Engineer, SOC Design Methodology

Posted Aug 5, 2026

Role at a glance

Salary
$136K – $264.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years of relevant software engineering experience.
Education
BS or MS in Computer Science or Computer Engineering, or equivalent experience.

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Role Summary

AI-generated

This role joins NVIDIA's CAD Infrastructure team to develop a next-generation software platform for semiconductor development using graph neural network infrastructure at trillion-edge scale. The work spans architecture, implementation, engineering workflows, and collaboration with VLSI organizations.

What You'll Do

  • Architect highly automated and customizable flows using modular builds and object-oriented techniques.
  • Collaborate with architects and designers during active spec development to identify integration gaps and keep workstreams aligned.
  • Build event-driven data preprocessing pipelines for large-scale graph data.
  • Construct tools and user interfaces in C++ and Python for advanced engineering workflows.
  • Engage cross-functionally with VLSI organizations to anticipate future challenges and build solutions.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Hands-on experience in C++ and Python programming; strong foundations in software building, algorithms, and data structures; proficiency in software architecture; strong communication skills and comfort working across fields during an evolving development cycle.

Required

  • C++
  • Python
  • Software building
  • Algorithms
  • Data structures
  • Software architecture
  • Strong communication skills

Preferred

  • Building GUIs for engineering tools
  • Graph-scale data infrastructure or GNN-based systems
  • ML or agentic tooling, particularly LLM-based code generation
  • EDA or VLSI build environments
  • Exposing software toolchains to AI agents
  • Developer-facing AI interfaces

Original job description

Content provided by the employer

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.

Join NVIDIA’s CAD Infrastructure team and be part of something outstanding! We are building a next-generation software platform for semiconductor development, applying innovative graph neural network infrastructure to process graphs at a trillion-edge scale. This is an ambitious endeavor, and we need engineers who thrive in a hands-on environment, ready to contribute to every phase from architecture to implementation. This role will allow you to compose the future of computing and make a lasting impact on the world!

What you'll be doing:

  • Architecting highly automated and customizable flows using modular builds and object-oriented techniques.

  • Collaborating with architects and designers during active spec development to identify integration gaps and keep workstreams aligned.

  • Building event-driven data preprocessing pipelines for large-scale graph data.

  • Constructing tools and user interfaces in C++ and Python adapted for advanced engineering workflows.

  • Engaging cross-functionally with VLSI organizations to anticipate future challenges and build solutions.

What we need to see:

  • 8+ years of relevant software engineering experience.

  • BS or MS in Computer Science or Computer Engineering, or equivalent experience.

  • Hands-on experience in C++ and Python programming.

  • Strong foundations in software building, algorithms, and data structures.

  • Proficiency in software architecture: you've built systems, not just contributed to them.

  • Strong communication skills and comfort working across fields during an evolving development cycle.

Ways to stand out from the crowd:

  • Experience building GUIs for engineering tools — complex, data-rich interfaces built by engineers, for engineers.

  • Background in graph-scale data infrastructure or GNN-based systems.

  • Exposure to ML or agentic tooling, particularly LLM-based code generation.

  • Familiarity with EDA or VLSI build environments.

  • Experience exposing software toolchains to AI agents or building developer-facing AI interfaces.

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 the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.