NVIDIA

3 weeks ago

Senior Perception Engineer - Autonomous Vehicles

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Develop and productize NVIDIA’s 3D obstacle perception solutions for autonomous driving, using multi-sensor fusion (cameras, ultrasonic sensors, and radar) and deep learning. Build robust, accurate, and efficient models by applying research-grade algorithm development, large-scale benchmark evaluation, and KPI-driven optimization. Partner with data collection and labeling teams to improve training data, then productionize models with safety, latency, and software robustness requirements.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Develop multi-sensor fusion based deep learning models for obstacle perception/fusion in complex driving environments.
•Conduct applied R&D of deep learning and multi-sensor fusion algorithms to improve 3D obstacle perception accuracy across challenging scenarios.
•Evaluate strengths and weaknesses using large-scale benchmark data (real and synthetic), iterate via KPI building/optimization, and debug ML models.
•Productize 3D obstacle perception solutions to meet safety, latency, and software robustness requirements with production deep learning development.
•Lead data-driven development by coordinating with data collection and labeling teams to prioritize high-value data and maximize data impact.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•10+ years of hands-on experience developing deep learning and algorithms for real-world problems, including proficiency with deep learning frameworks such as PyTorch.
•Experience with multi-sensor fusion for perception tasks (cameras, ultrasonic sensors, radar), especially for high-resolution world reconstruction.
•Proven production deep learning model development experience, including data verification, model architecture design, loss function engineering, and ML debugging.
•Experience in data-driven development and collaboration with data and ground truth teams.
•Strong programming skills in Python and/or C++ and a bachelor’s/master’s/PhD in CS, EE, sciences, or equivalent experience.

Experience:10+ yearsAutonomous drivingRoboticsDeep learningMulti-sensor fusion3D computer vision

Education:Master's

Skills:CommunicationTeamworkCollaborationProblem-solving

Tech Stack:PyTorchPythonC++CUDADeep learningDNN3D computer visionLoss function engineeringEmbedded platforms

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 weeks ago

Senior Perception Engineer - Autonomous Vehicles

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Develop multi-sensor fusion based deep learning models for obstacle perception/fusion in complex driving environments.
•Conduct applied R&D of deep learning and multi-sensor fusion algorithms to improve 3D obstacle perception accuracy across challenging scenarios.
•Evaluate strengths and weaknesses using large-scale benchmark data (real and synthetic), iterate via KPI building/optimization, and debug ML models.
•Productize 3D obstacle perception solutions to meet safety, latency, and software robustness requirements with production deep learning development.
•Lead data-driven development by coordinating with data collection and labeling teams to prioritize high-value data and maximize data impact.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•10+ years of hands-on experience developing deep learning and algorithms for real-world problems, including proficiency with deep learning frameworks such as PyTorch.
•Experience with multi-sensor fusion for perception tasks (cameras, ultrasonic sensors, radar), especially for high-resolution world reconstruction.
•Proven production deep learning model development experience, including data verification, model architecture design, loss function engineering, and ML debugging.
•Experience in data-driven development and collaboration with data and ground truth teams.
•Strong programming skills in Python and/or C++ and a bachelor’s/master’s/PhD in CS, EE, sciences, or equivalent experience.

Experience:10+ yearsAutonomous drivingRoboticsDeep learningMulti-sensor fusion3D computer vision

Education:Master's

Skills:CommunicationTeamworkCollaborationProblem-solving

Tech Stack:PyTorchPythonC++CUDADeep learningDNN3D computer visionLoss function engineeringEmbedded platforms

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor