Senior Software Engineer – Build Tools

Key Skills

Aartificial intelligence, Algorithms, C Programming, C++, Data structuring, Data Visualization, Deep Learning, Git, GPUs, Java Programming, Kibana, Linux Operating system, Machine learning techniques, Perl Programming, Python Programming, Unix Operating system

Job Description

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!

Our team is responsible for development and support of infrastructure tools used by design engineers for building sophisticated chip designs. Rapid changes to adapt to new design and process requirements are the must while maintaining backward compatibility and keeping tools reliable and scalable.

What You'll be Doing:

• Work as a team to develop and maintain reliable, scalable and highly intelligent build systems that runs hundreds of thousands of jobs each day.

• Develop scalable tools to collect, analyze and visualize the performance and health of the build system.

• Develop responsive services for users to quickly search through source files and logs

• Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams.

What We Need to See:

• Bachelor's degree (or higher) in Computer Science or equivalent experience

• 5+ years of software development experience

• Experienced with OOP, Perl/python/C/C++/Java, Unix/Linux.

• Familiarity with web programming and SSL/TomCat will be useful

• Solid understanding of data structure, algorithms (e.g graphs, DAG), computer architecture and computer science theory

• Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements

Ways to stand out from the crowd:

• Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, makepp, Bazel)

• Experienced with distributed computing systems such as LSF

• Understanding and experience of data visualization and analysis tools (e.g. Kibana)

The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.