Senior Machine Learning Engineer, Perception - Autonomous Driving

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

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AI Communication @ 6 Deep Learning @ 4 Leadership @ 6 PyTorch @ 6 Python @ 7 Robotics @ 6 Technical Leadership @ 6

Details

NVIDIA is looking for a Senior Perception Engineer to develop and productize autonomous driving solutions. The perception team develops end-to-end solutions for understanding traffic signals, including traffic lights, traffic signs, road markings, construction objects, and other signals critical for autonomous driving without reliance on high-definition maps. The role focuses on improving solution robustness, accuracy, and efficiency across diverse driving environments.

Responsibilities

Design end-to-end perception and autonomous vehicle stack solutions for traffic signal detection across complex intersections, rural roads, highways, and other driving environments.
Conduct applied research and development of 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 and country or regional expansion.
Drive data-driven development in collaboration with large data collection and labeling teams.
Prioritize data collection and labeling, optimize labeling efficiency, and maximize the value of data for improving perception system accuracy.
Use data simulation and augmentation to address extreme scenarios.
Productize perception solutions by meeting requirements for safety, latency, and software robustness.

Requirements

PhD with 4 or more years of relevant experience, MS with 6 or more years of relevant experience, or BS or equivalent experience with 8 or more years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Hands-on experience developing deep learning and algorithmic solutions for sophisticated real-world problems.
Proficiency with deep learning frameworks such as PyTorch.
Experience with data-driven development and collaboration with data and ground-truth teams.
Strong programming skills in Python and/or C++.
Outstanding communication and teamwork skills.
Two or more years of technical leadership involving significant technical and organizational complexity is a plus.

Preferred Qualifications

Expertise developing generalizable perception solutions for autonomous driving or robotics using camera-based deep learning.
Experience developing and deploying deep neural network solutions to embedded platforms for real-time applications.
Technical publications in leading conferences or journals demonstrating deep learning expertise.
Experience with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques.
Experience working on complex object detection and recognition problems.

Compensation and Benefits

Base salary range for Level 4: USD 184,000 to USD 287,500 per year.
Base salary range for Level 5: USD 224,000 to USD 356,500 per year.
Additional eligibility for equity and benefits.
Applications will be accepted at least until September 25, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.