Applied Machine Learning Engineer - VLSI Design at Nvidia
Santa Clara, CA 95050
About the Job
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years
It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the next era of computing
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world
Doing what’s never been done before takes vision, innovation, and the world’s best talent
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work
Come join the team and see how you can make a lasting impact on the world.What you'll be doing:Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlationWork on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.Responsible for translating the requirements into a data science problem, architect and build solutions.Test and release of models that integrate with existing machine learning and visualization tools within the organization.Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.Optimize the models and algorithms until they reach the desired QOR.What we need to see:MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics (or equivalent experience)5+ years experience in circuit design, VLSI, ASIC, EDA, Silicon analysis is requiredPrior experience in Applied Math/ML/Software programming with proven ability in writing code in Python, C++Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a definite plusWays to stand out from the crowd:Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)Effective verbal/written communication, and technical presentation skillsSelf-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the teamNVIDIA is a pioneer in bringing groundbreaking technology to new markets
We have some of the most forward-thinking and hardworking people in the world working with us
If you're creative and autonomous, we want to hear from you!#LI-HybridThe base salary range is 128,000 USD - 258,750 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.SummaryLocation: US, CA, Santa ClaraType: Full time
It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the next era of computing
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world
Doing what’s never been done before takes vision, innovation, and the world’s best talent
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work
Come join the team and see how you can make a lasting impact on the world.What you'll be doing:Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlationWork on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.Responsible for translating the requirements into a data science problem, architect and build solutions.Test and release of models that integrate with existing machine learning and visualization tools within the organization.Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.Optimize the models and algorithms until they reach the desired QOR.What we need to see:MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics (or equivalent experience)5+ years experience in circuit design, VLSI, ASIC, EDA, Silicon analysis is requiredPrior experience in Applied Math/ML/Software programming with proven ability in writing code in Python, C++Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a definite plusWays to stand out from the crowd:Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)Effective verbal/written communication, and technical presentation skillsSelf-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the teamNVIDIA is a pioneer in bringing groundbreaking technology to new markets
We have some of the most forward-thinking and hardworking people in the world working with us
If you're creative and autonomous, we want to hear from you!#LI-HybridThe base salary range is 128,000 USD - 258,750 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.SummaryLocation: US, CA, Santa ClaraType: Full time
