Senior Machine Learning Engineer, Prediction - Autonomous Driving

NVIDIA Corporation; California; On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a highly experienced ML/AI researcher or engineer to design end-to-end solutions for autonomous driving prediction and perception systems. The role emphasizes deep learning, PyTorch proficiency, and collaboration with data teams to ensure robust, scalable models across varied environments.

The candidate will contribute to research, development, and productization, focusing on safety, latency, and real-time performance, with equity and benefits included.

Qualifications

• PhD with 6+ years, MS with 10+ years, or BS with 12+ years of meaningful experience in Computer Science, Computer Engineering, or a related field.
• Hands-on work in developing deep learning models and algorithms, proficient with deep learning frameworks such as PyTorch.
• Experience in data-driven development and collaboration with data/ground-truth teams.
• Strong programming skills in Python and/or C++.
• Outstanding communication and teamwork in a tightly-knit team.

Responsibilities

• Design end-to-end solutions for Prediction and AV stack using state-of-the-art ML techniques for agents prediction across driving environments.
• Conduct applied research and development of innovative deep learning models, including end-to-end models.
• Develop generalizable approaches to support diverse ODDs and Country/region expansion.
• Lead data-driven development with large data collection and labeling teams to improve prediction accuracy.
• Leverage data simulation and augmentation for extreme scenarios.
• Productize solutions meeting safety, latency, and software robustness requirements.

Skills

Python

C++

Deep learning

PyTorch

Communication

Teamwork

Education

PhD in CS/CE or related field

MS in CS/CE

BS in CS/CE

Tools

PyTorch

Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.

What You’ll Be Doing

• Designing end-to-end solutions for Prediction and AV stack using state of the art ML techniques to enable agents prediction across various driving environments from complex intersections to rural curvy roads to multi-level highways.
• Applied research and development of innovative deep learning models, including end-to-end models
• Develop generalizable approaches to support diverse ODDs and Country/region expansion
• Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve prediction system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized
• Leverage data simulation and augmentation for solving extreme scenarios
• Productize the developed solutions by meeting product requirements for safety, latency, and SW robustness.

What We Need To See

• Minimum Requirement: PhD with 6+ years, MS with 10+ years, or BS (or equivalent experience) with 12+ years of meaningful experience in Computer Science, Computer Engineering, or a related technical field.
• Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).
• Experience in data-driven development and collaboration with data and ground truth teams.
• Strong programming skills in python and/or C++.
• Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways To Stand Out From The Crowd

• Proven expertise in developing generalizable ML solutions for autonomous driving or robotics.
• Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.
• Proven expertise in deep learning backed up by technical publications in leading conferences/journals.
• Expertise with Transformers, BEV architectures, E2E ML systems.
• Having over 2 years of experience in technical leadership involving significant technical and organizational challenges is highly advantageous.

Join us and help define the future of reliable, data-driven autonomous driving.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

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