Senior Fullstack Software Engineer

Our team is responsible for development and support of infrastructure tools used by design engineers for build and verification of architectural, RTL, and gate level designs. As a senior software engineer, you will craft highly efficient software to automate and facilitate chip design and verification processes.

What You'll be Doing:

• Work as a team to build reliable, scalable and high performance software that are easy to use by hundreds of engineers worldwide.
• Working on backend and frontend design and development of web applications.
• Develop web tools in Golang, typescript, and javascript to manage our product definitions at the hardware level.
• Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams.
• Optimize the daily workflows of the world's top chip modelers and designers.

• Strong experience with Golang, Unix/Linux
• Proven knowledge of web languages typescript, javascript
• In-depth understanding of database concepts and object modeling.
• Solid understanding of algorithms, computer architecture and computer science theory
• Bachelor's degree (or higher) in Computer Science or equivalent experience
• 6+ years of software development experience
• Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements

Ways to Stand out from the Crowd:

• A love for engineering and passion for what you do
• Experience with container technologies like Docker or container orchestration like K8S
• Knowledge of Ruby
• Ability to read and understand C++, especially Modern C++

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

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 challenges that are hard to tackle, that only we can pursue, 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!