Senior Autonomous Vehicle Engineer at NVIDIA

Shenzhen, China

Apply Now

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

C++

CUDA

Computer Vision

Image Processing

Sensor Fusion

ISP Tuning

HDR

Noise Reduction

Color Correction

White Balancing

Low-Light Performance

MISRA

GPGPU

Real-Time Processing

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.

Land your dream remote job 3x faster with AI

Try Jobo Free