VLSI Design Automation Software Engineer

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.

Join our dynamic team at NVIDIA, responsible for managing and maintaining high-quality VLSI development infrastructure for the Backend Networking team. We seek a dedicated and driven Software Engineer eager to manage compute and storage effectively, develop scripts and automation, create dashboards and apps while collaborating with a remote team in Israel.

What you’ll be doing:

• Oversee and optimize compute and storage resources, ensuring operational efficiency and success of VLSI projects. Develop and maintain scripts and automation tools to streamline infrastructure tasks.

• Design, implement, and maintain dashboards for monitoring and reporting on infrastructure performance and usage.

• Work closely with a remote team in Israel, ensuring smooth communication and coordination on infrastructure-related tasks.

• Engage in the entire lifecycle of infrastructure tool development, including design, testing, deployment, and maintenance.

• Collaborate with other team members and DA teams to implement innovative software solutions and practices.

What we need to see:

• Bachelor’s degree in computer science/engineering or equivalent experience

• Minimum 3 years' experience with VLSI Design Automation.

• Strong proficiency with Unix

• Proven experience in at least two programming languages, including Python, and scripting.

• Good debugging and problem-solving skills

• Strong interpersonal skills along with the ability to work in a diverse team

Ways to stand out from the crowd:

• Basic understanding of data structures and algorithms, specifically those related to Graph Theory. Experience with SQL and LSB scheduler.

• Experience with GUI and Unix/web application development. Familiarity with programming languages such as C++, Tcl, Python, or other scripting languages like Perl and Shell.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you.