Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles

NVIDIA
United States
Workplace: OnsiteFull timeUSD 272,000 - 431,250 annuallyFunction: Communications, PR & CommunityExperience: 15+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Mentorship","Technical leadership","Cross-functional influence"]

Lead the technical direction and productization of NVIDIA’s next-generation autonomous driving 3D obstacle perception stack. Own the architecture and roadmap for perception performance across multi-camera and multi-sensor fusion (camera, radar, lidar), define training and evaluation frameworks, and drive data strategy and model-assisted labeling workflows. Partner with safety, systems, and software teams to meet latency, resource, and robustness requirements while mentoring engineers and shaping end-to-end deployment.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles

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Last checked: 1 hour agoStatus: Live

Job Summary

Lead the technical direction and productization of NVIDIA’s next-generation autonomous driving 3D obstacle perception stack. Own the architecture and roadmap for perception performance across multi-camera and multi-sensor fusion (camera, radar, lidar), define training and evaluation frameworks, and drive data strategy and model-assisted labeling workflows. Partner with safety, systems, and software teams to meet latency, resource, and robustness requirements while mentoring engineers and shaping end-to-end deployment.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Own the technical vision, architecture, and roadmap for 3D obstacle perception for end-to-end autonomous driving.
  • •Design and develop advanced 3D perception models using multi-camera inputs and/or multi-sensor fusion for detection and tracking.
  • •Lead development of efficient, production-grade deep learning models, including training objectives, experiments, and best practices using techniques like pretraining and LoRA.
  • •Define KPI frameworks, analyze real and synthetic datasets for failure modes, and drive improvements in accuracy, robustness, and efficiency.
  • •Provide technical leadership and mentorship, partnering with safety, systems, and software teams to meet deployment requirements at scale.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •15+ years developing deep learning–based perception or related systems for complex real-world problems, taking models from prototype to production, with strong PyTorch experience.
  • •Demonstrated technical leadership as a senior/principal-level individual contributor: owning features/subsystems end-to-end and making architectural decisions while coordinating across teams.
  • •Experience in data-driven development with close collaboration on data strategy, labeling quality, and iterative model improvement.
  • •Strong programming skills in Python and/or C++ and a track record of building reliable, high-performance, production-quality software.
  • •BS/MS/PhD in Computer Science, Electrical Engineering, or related fields (or equivalent experience).
Experience:15+ yearsAutonomous drivingRoboticsDeep learningComputer vision
Education:Bachelor's in Computer Science, Electrical Engineering, or related fields
Skills:CommunicationCollaborationMentorshipTechnical leadershipCross-functional influence
Tech Stack:PythonC++PyTorchCNNTransformersMultimodalVision-language modelsVLMBEVLoRACUDALarge-scale pretrainingDistillationParameter-efficient fine-tuning

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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