Hardware Data Analysis and ML Engineer

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• Work 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 required

• Prior 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 plus

Ways 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 skills

• Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

NVIDIA 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!

The 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.