- Doctoral degree
- Bachelor of Science
- Bachelor's degree
- Master's degree
- Doctor of Philosophy
- Machine learning
We are looking for machine learning engineers with experience over a large diverse machine learning landscape to join our team in Austin, Texas. Candidates should have a deep familiarity with reinforcement learning, genetic algorithms, predictive modeling, complex systems, and analysis/manipulation of high dimensional data. Fluency in deep learning and its' best practices is also preferred.
What you'll be doing:
Be part of the compiler applied machine learning and artificial intelligence team developing new and innovative solutions in and around compilers and development tools.
Work with enthusiastic and dedicated people at the forefront of science and technology trends. You will have the opportunity to innovate in areas ranging from machine learning algorithms, system design, processor architecture, and see your work used in products all over the world.
What we need to see:
BS, MS, PhD or equivalent experience in CS, CE, EECS or related with a focus on machine learning and compilers and development tools.
3+ years experience in SW Engineering focused on tools development, machine learning or equivalent.
A background in compilers is highly desirable.
Experience with Julia, LISP / Scheme, Python, and C / C++.
Sufficient educational background to understand the science and mathematics involved in the above technologies.
A strong desire to create real working products that use the latest scientific results.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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.