#JR1993778
ectly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.
Acting as a trusted advisor to our clients, understanding their environment and constraints, translating these into product requirements and solutions, and helping both them and NVIDIA anticipate and avoid potential issues.
What we need to see:
2+ years of experience in cloud computing and/or large-scale AI systems.
A BS in EE, CS, Math, or Physics, or equivalent experience.
A proven understanding of cloud computing and large-scale computing systems.
Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.
A passion for machine learning and AI, and the drive to continually learn and apply new technologies.
Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.
Ways to stand out from the crowd:
Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.
Knowledge of Azure cloud and AzureML services.
Experience with CUDA programming and optimization.
Familiarity with NVIDIA networking technologies such as Infiniband.
Proficiency in Linux, Windows Subsystem for Linux, and Windows.
The base salary range is 120,000 USD - 235,750 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.