Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA
Santa Clara, California
Workplace: RemoteFull timeUSD 184,000 - 356,500 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Teamwork","Technical leadership"]

Develop and productize end-to-end perception solutions for autonomous driving, focusing on traffic signal understanding without relying on HD maps. Apply deep learning research to build and improve models for traffic lights, traffic signs, road markings, construction object detection, and text recognition across diverse environments and ODDs. Lead data-driven development with collection/labeling teams, use simulation and augmentation for extreme scenarios, and ensure safety, latency, and software robustness for embedded real-time deployment.

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FursaFursa
NVIDIA
NVIDIA
13 hours ago

Senior Machine Learning Engineer, Perception - Autonomous Driving

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Develop and productize end-to-end perception solutions for autonomous driving, focusing on traffic signal understanding without relying on HD maps. Apply deep learning research to build and improve models for traffic lights, traffic signs, road markings, construction object detection, and text recognition across diverse environments and ODDs. Lead data-driven development with collection/labeling teams, use simulation and augmentation for extreme scenarios, and ensure safety, latency, and software robustness for embedded real-time deployment.
Location: Santa Clara, California
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design end-to-end perception and AV stack solutions for traffic signal detections across diverse 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 related tasks.
  • •Develop generalizable approaches to support diverse ODDs and expand across countries/regions.
  • •Drive data-driven development by partnering with large data collection and labeling teams to prioritize data, improve labeling efficiency, and maximize data value.
  • •Productize perception solutions meeting requirements for safety, latency, and software robustness.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •PhD with 4+ years, MS with 6+ years, or BS (or equivalent) with 8+ years in computer science, computer engineering, or related technical fields.
  • •2+ years of technical leadership with high technical and organizational complexity (big plus).
  • •Hands-on experience developing deep learning models/algorithms for sophisticated real-world problems, including proficiency with deep learning frameworks (e.g., PyTorch).
  • •Experience in data-driven development, collaborating with data and ground truth teams.
  • •Strong programming skills in Python and/or C++.
Experience:Autonomous drivingRoboticsDeep learningComputer visionData labelingEmbedded real-time
Education:PhD / Doctorate
Skills:CommunicationTeamworkTechnical leadership
Tech Stack:PythonC++PyTorchTransformersBEV architecturesDeep learningDNNsData simulationData augmentation

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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