We are the CUDA Math Libraries team at NVIDIA - which was just named one of America's Best Place to Work by Glassdoor. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by NVIDIA GPUs. We are looking for a Senior Math Libraries Engineer to join our team to develop libraries that provide ground breaking GPU-accelerated data and image compression and decompression algorithms. Technologies that we develop are used in data science, healthcare, image processing, computer vision, deep learning, autonomous vehicles and countless others. If the idea of contributing to our technologies excites you, join our team and help us build GPU accelerated software libraries that are used by countless applications around world. We're looking for someone with strong programming skills, integrity, reliability, persistence and problem-solving ability.

What you’ll be doing:

• Collaborate with internal and external partners to understand software use cases and requirements.

• Design and implement compression and decompression algorithms on NVIDIA accelerated platforms (GPU and CPU)

• Lead library architecture design to enable new use cases and increase adoption with customers

• Providing technical leadership and guidance to other engineers in your team

• Benchmark the performance of GPU or CPU implementations against industry standards, find opportunities for improvements and implement them.

• Improve software development processes for flawless integration with NVIDIA key software products

What we need to see:

• Masters, PhD, or equivalent experience in Computer Science, Applied Math, or related field

• 10+ years of related work experience

• Experience in implementing software in research or industrial settings.

• Excellent programming skills in C/C++

• GPU programming experience (CUDA or OpenCL).

• Strong focus on delivering high-quality and high-performance software.

• Outstanding interpersonal skills, excellent teamwork, communication, and documentation habits.

Ways to stand out from the crowd:

• Experience with high performance compression algorithms

• Advanced skills in debugging, profiling, and testing for accuracy and performance.

• Knowledge of CPU or GPU hardware architecture.

The base salary range is $216,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.