Design Automation Engineer
NVIDIAJob Title
Design Automation Engineer
Role Summary
Join the System Design Automation team to develop user-centric automation platforms that integrate AI/ML capabilities. The role focuses on building and maintaining tools that improve design efficiency, automate workflows, and accelerate debugging for next-generation hardware platforms.
Experience Level
Entry-level / Early career — the posting requests 2+ years of professional experience.
Responsibilities
The role combines software development, UX work, and collaboration with hardware and verification teams to deliver production-ready automation tools.
- Design, develop, and maintain automation tools to improve efficiency and accuracy in system design flows.
- Integrate AI/ML components into tools and workflows where appropriate.
- Collaborate with cross-functional teams to gather requirements and deliver solutions.
- Provide support, training, and documentation for tool usage and best practices.
- Iterate on user experience and UI to make tools intuitive for engineering users.
Requirements
Must-have technical skills and attributes listed first; followed by desirable skills.
- 2+ years of professional software engineering experience building tooling or automation.
- Proficiency in one or more programming languages and software engineering best practices.
- Experience or interest in integrating AI tools into production software.
- Strong problem-solving skills and ability to work effectively in a team.
- Good communication skills and willingness to provide training and documentation.
- Fast learner, self-motivated, and able to adapt to new technologies.
- Nice-to-have: board design experience, prior CAD tool experience, knowledge of machine learning algorithms, prior work in high-performance computing environments.
Education Requirements
Bachelor's degree in Computer Engineering or Computer Science (explicitly listed in the posting).
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
