Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles

NVIDIA
United States
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: phdSkills: ["Communication","Collaboration","Cross-disciplinary teamwork"]

Design and productize NVIDIA’s next-generation autonomous driving 3D obstacle perception stack. You’ll develop and improve 3D obstacle perception architecture and roadmap, implement multi-camera and multi-sensor (camera/radar/lidar) models, and build production-grade deep learning pipelines using CNNs, transformers, BEV approaches, and efficient fine-tuning (e.g., LoRA). You’ll establish KPIs, drive data and labeling strategy, and collaborate with safety, systems, and software teams to deploy at scale.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design and productize NVIDIA’s next-generation autonomous driving 3D obstacle perception stack. You’ll develop and improve 3D obstacle perception architecture and roadmap, implement multi-camera and multi-sensor (camera/radar/lidar) models, and build production-grade deep learning pipelines using CNNs, transformers, BEV approaches, and efficient fine-tuning (e.g., LoRA). You’ll establish KPIs, drive data and labeling strategy, and collaborate with safety, systems, and software teams to deploy at scale.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and improve the technical design, architecture, and roadmap for 3D obstacle perception for end-to-end autonomous driving.
  • •Design and implement advanced 3D perception models using multi-camera and/or multi-sensor fusion for obstacle detection and tracking.
  • •Build efficient, production-grade deep learning models, including experiments, training/evaluation best practices, and techniques such as pretraining, distillation, and parameter-efficient fine-tuning (LoRA).
  • •Define and maintain KPI frameworks, analyze real and synthetic datasets, and improve accuracy, robustness, and efficiency (e.g., self-supervised and representation learning).
  • •Collaborate with safety, systems, and software teams to meet product requirements for safety, latency, resource usage, robustness, and scalable deployment.

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 a related technical field.
  • •Hands-on experience developing deep learning–based perception (or closely related) systems for complex real-world problems, with strong PyTorch proficiency and experience taking models from prototype to production.
  • •Proven data-driven development experience, including close collaboration with data, labeling, and ground-truth teams to improve model quality iteratively.
  • •Strong programming skills in Python and/or C++, with experience building reliable, high-performance, production-quality software.
  • •Excellent communication and collaboration skills working across multidisciplinary teams.
Experience:4+ years
Education:PhD / Doctorate in Computer Science, Computer Engineering, or a related technical field
Skills:CommunicationCollaborationCross-disciplinary teamwork
Tech Stack:PyTorchPythonC++CNNTransformerBEVMulti-cameraMulti-sensor fusionRadarLidarLoRAVision-language models (VLMs)CUDASelf-supervised learningRepresentation learningLarge-scale pretrainingKnowledge distillation

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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