Machine Learning Engineer Intern - 2025

7 Months ago • Upto 1 Years

Research Development

Job Description

NVIDIA seeks a Machine Learning Engineer Intern to contribute to its autonomous driving product. Responsibilities include working on state-of-the-art perception and fusion architecture, integrating machine learning models into a mass production ADAS solution, bringing innovative research to the product, collaborating with internal research teams, and working with simulation and mapping organizations. The ideal candidate possesses hands-on experience in perception systems, sensor calibration, and debugging software issues, and demonstrates excellent interpersonal skills.

Good To Have:

Experience with mass production ADAS systems
Experience in geometric computer vision

Must Have:

Experience in Perception Systems for AV or robotics
Strong understanding of sensors and algorithms
Experience with sensor calibration
Proficient in debugging software problems
Excellent interpersonal and cross-disciplinary skills

Add these skills to join the top 1% applicants for this job

unity

algorithms

computer-vision

deep-learning

communication

problem-solving

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous vehicles.

We are looking for a Machine Learning Engineer who is deeply technical, creative, and hands-on to work on a mass production autonomous driving product. The perception team consists of a group of proficient AI applied researchers and engineers and is committed to building industry-grade deep learning to redefine autonomous vehicle (AV) perception. We work on fundamental advances in scientific methods to enable scaling up the entire perception for the autonomous driving SW stack. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous vehicles.

What you will be doing:

Work on state-of-the-art perception & fusion architecture
Integrate machine learning models into mass production ADAS solution stack
Bring innovative perception & fusion & prediction research to the product
Partner with NVIDIA's applied research and research organization
Collaborate with NVIDIA's drive simulation & mapping organization
Establish positive relationships and communications with internal partner organizations.

What we need to see:

Pursuing bachelor’s or master’s degree in disciplines including but not limited to Electrical Engineering, Computer Science, Math and Physics.
Hands-on experience in Perception Systems with application to AV, robotics, or similar industry.
Strong understanding of sensors and algorithms used in modern Perception Systems
Experience with calibration of various sensor technologies.
Hands-on experience in debugging hard software problems.
Excellent interpersonal skills with the ability to strive in a cross-disciplinary environment.
Degree in Electrical Engineering, Computer Science, or related fields or equivalent experience.

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