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 drive end‑to‑end solutions for perception modules responsible for traffic signal understanding—including traffic lights, traffic signs, road markings, construction objects, and other signals critical for driving without reliance on HD maps. You will improve robustness, accuracy, and efficiency to fully enable autonomous driving anywhere and anytime.

Responsibilities

• Design end‑to‑end solutions for perception and the AV stack to enable traffic signal detection across diverse driving environments, from complex intersections to rural roads and highways.
• Conduct applied research and develop innovative deep‑learning models for traffic‑light detection, traffic‑sign recognition, road‑marking detection, construction‑object detection, text recognition, and related traffic‑signal tasks.
• Develop generalizable approaches to support diverse operational design domains (ODDs) and country/region expansion.
• Drive and prioritize data‑driven development by collaborating with large data‑collection and labeling teams, including data‑collection planning, labeling prioritization, and labeling‑efficiency optimization.
• Leverage data simulation and augmentation to address extreme scenarios.
• Productize perception solutions by meeting product requirements for safety, latency, and software robustness.

Minimum Requirements

• 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.
• 2+ years of technical leadership demonstrating high technical and organizational complexity (a strong plus).
• Hands‑on experience developing deep‑learning algorithms to solve sophisticated real‑world problems, with proficiency in deep‑learning frameworks such as 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.

Preferred Qualifications

• Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.
• Hands‑on experience developing and deploying DNN‑based solutions to embedded platforms for real‑time applications.
• Technical publications in leading conferences or journals demonstrating deep‑learning expertise.
• Expertise with visual language models, transformers, BEV architectures, and modern traffic‑signal perception techniques.
• Experience working on complex object detection and recognition problems (a strong plus).

Compensation

The base salary will be determined based on location, experience, and comparable positions. Salary ranges are $184,000 – $287,500 USD for Level 4 and $224,000 – $356,500 USD for Level 5. The role is also eligible for equity and additional benefits.

Application Deadline

Applications will be accepted at least until September 25, 2026.