Senior Autonomous Vehicle Engineer at NVIDIA

Shenzhen, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous VehiclesIndustries

Requirements

BS/MS or higher in computer engineering, computer science or related fields (or equivalent experience)
5+ years of experience
Excellent C and C++ programming skills
Familiarity with multi-sensor data integration and sensor fusion techniques
Strong analytical and problem-solving skills; able to debug complex systems and work in a dynamic environment
Deep understanding of automotive image quality standards and hands-on experience with relevant testing tools
Advanced knowledge of image quality metrics, measurement, and enhancement for both visible and challenging conditions (low-light, adverse weather)
Proven understanding of programming and debugging techniques, especially for parallel and distributed architectures
Great communication and analytical skills
Experience in computer vision, real-time image processing, and sensor integration in the context of automotive or robotics applications

Responsibilities

Optimize pipelines for real-time processing within hardware constraints and power budgets
Solve challenges related to noise reduction, color correction, sharpening, white-balancing, HDR, and low-light performance
Tune and calibrate camera ISPs for efficient ADAS/autonomous performance
Develop and apply methods for measuring and benchmarking image quality metrics
Troubleshoot and resolve image quality issues in complex driving and lighting scenarios
Ensure real-time processing and efficient execution for high-throughput camera data streams on embedded or edge computing platforms
Develop unit tests, documentation for features, evaluate quality and propose corrective actions
Deliver efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA)
Follow quality and safety standards such as defined by MISRA

Skills

Key technologies and capabilities for this role

C++CUDAComputer VisionImage ProcessingSensor FusionISP TuningHDRNoise ReductionColor CorrectionWhite BalancingLow-Light PerformanceMISRAGPGPUReal-Time Processing

Questions & Answers

Common questions about this position

What are the key required skills for this Senior Autonomous Vehicle Engineer role?

The role requires excellent C and C++ programming skills, familiarity with multi-sensor data integration and sensor fusion techniques, strong analytical and problem-solving skills, deep understanding of automotive image quality standards, and advanced knowledge of image quality metrics.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Senior Autonomous Vehicle Engineer role remote or office-based?

This information is not specified in the job description.

What experience will make me stand out for this role at NVIDIA?

Familiarity with sensor fusion integrating LiDAR and RADAR with cameras, experience with real-time OS like Linux and tools such as Git and Jira, understanding of functional safety standards like ISO26262, and project management experience will help you stand out.

What education and experience level is required for this position?

A BS/MS or higher in computer engineering, computer science or related fields (or equivalent experience) and 5+ years of experience are required.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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