Senior Machine Learning Engineer, Perception - Autonomous Driving

About the Role

We are looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of the perception team, you will be driving end-to-end solutions for perception modules responsible for traffic signal understanding — including traffic lights, traffic signs, road markings, construction objects, and other traffic signals critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.

Responsibilities

• Design end-to-end solutions for Perception and AV stack to enable traffic signal detections across various driving environments from complex intersections to rural roads to highways.
• Conduct applied research and development of innovative deep learning models for traffic light detection, traffic sign recognition, road marking detection, construction object detection, text recognition, and other traffic signal tasks.
• Develop generalizable approaches to support diverse Operational Design Domains (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 perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, and labeling efficiency optimization to maximize data value.
• Leverage data simulation and augmentation for solving extreme scenarios.
• Productize the developed perception solutions by meeting product requirements for safety, latency, and software robustness.

Requirements

Minimum Qualifications:

• PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant 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.

Preferred Qualifications:

• 2+ years of technical leadership demonstrating high technical and organizational complexity.
• Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.
• 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 Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques.
• Experience in working on complex object detection and recognition problems.

Compensation and Benefits

• Base salary: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5 (based on location, experience, and pay of employees in similar positions).
• Eligible for equity and benefits.

Additional Information

• Applications will be accepted at least until October 14, 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 is an equal opportunity employer. We do not discriminate 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.