Senior Machine Learning Engineer, Perception – Autonomous Driving

NVIDIA

. Design end-to-end solutions for perception and autonomous vehicle stacks to enable traffic signal detection across diverse driving environments, including complex intersections, rural roads, and highways .

Posted 9/21/2026full-timeRemote • California • United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying deep learning models for perception solutions in autonomous vehicles, with a strong focus on traffic signal detection and object recognition. Proven ability to lead data-driven development efforts and optimize data collection processes for enhanced model performance.

Highest-signal resume keywords

Deep Learning FrameworksPython ProgrammingTechnical LeadershipObject DetectionData-Driven Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningAlgorithms DevelopmentTraffic Signal DetectionObject RecognitionData SimulationDNN-Based SolutionsEmbedded PlatformsVisual Language ModelsTransformersBEV Architectures

Soft Skills

Outstanding CommunicationTeamwork Skills

Tools & Technologies

PyTorch

Industry Keywords

Autonomous VehiclesRoboticsTraffic Sign RecognitionRoad Marking DetectionData CollectionLabeling EfficiencyGeneralizable Perception Solutions

Tech Stack

Tools & technologies

PythonPyTorchC++

About the role

Key responsibilities & impact

Design end-to-end solutions for perception and autonomous vehicle stacks to enable traffic signal detection across diverse driving environments, including complex intersections, rural roads, and 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 ODDs and country/region expansion
Drive and prioritize data-driven development with large data collection and labeling teams
Plan data collection and labeling priorities and optimize labeling efficiency to maximize data value
Leverage data simulation and augmentation to solve extreme scenarios
Productize perception solutions by meeting product requirements for safety, latency, and software robustness

Requirements

What you’ll need

Minimum Requirement: 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 is a big plus
Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems
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
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 is a big plus

Benefits

Comp & perks

Equity
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