We are now looking for a Senior CUDA Algorithms Engineer:
Would you like to work with the world's best CUDA and deep learning experts?
Do you want to be the part of Artificial Intelligence Revolution?
NVIDIA is seeking a CUDA algorithms software engineer for its GPU-accelerated Numerical, Analytics, and Deep learning algorithms team. Academic and commercial groups around the world are using GPUs to revolutionize deep learning and data analytics, and to power data centers. Join the team which is building software which will be used by the entire world. Work well with the scientific community to implement the latest algorithms. Ability to work on a dynamic customer oriented team is required and excellent interpersonal skills are needed.
In this role you will be collaborating with internal partners, users, and members of the open source community to define and implement highly optimized new numerical, analytics and deep learning algorithms. The scope of these efforts covers defining public APIs, performance tuning and analysis, implementing new algorithms, and other general software engineering work.
What you will be doing:
Develop algorithms for deep learning, data analytics, machine learning, or scientific computing
Analyze performance of GPU implementations
Collaborate with team members and other partners
Occasional travel to conferences and for customer visits may be required
What we need to see:
A Masters Degree in Computer Science, Artificial Intelligence, Applied Math, or related field.
5 years of relevant software development experience.
Excellent C/C++ programming, debugging, performance analysis, and test design skills
Strong algorithms and mathematical fundamentals
Ability to work independently and lead your own development effort
Strong communication and interpersonal skills will help you succeed in our dynamic, global team. Your successful track record of mentoring junior engineers and interns a huge plus.
Ways to stand out from the crowd:
Strong understanding of DL and Machine Learning algorithms
Knowledge of CPU and/or GPU architecture
Experience with one or more of: assembly/low level programming, performance tuning, Python
Prior GPU programming (CUDA or OpenCL) experience desired but not required
Exposure to floating-point arithmetic
With highly competitive salaries and a comprehensive benefits package, NVIDIA is one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are fast-growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. Are you a creative and autonomous computer scientist with a genuine interest in AI and a real passion for parallel computing? If so, we want to hear from you. Come, join our CUDA Deep Learning Algorithm team and help us build the real-time, cost-effective computing platform driving our success in this dynamic and quickly growing field.
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.