Perception Engineer - Autonomous Driving at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Automotive, AIIndustries

Requirements

Self-motivated attitude and motivation to make things succeed, intent to learn
BS/MS degree in Computer Science/EE or related
Proven fundamentals in C++/Python programming and SW design and debug skills
Abundant knowledge of ML/DL techniques for Computer Vision and autonomous driving
Knowledge and experiences for perception stack for Autonomous driving (e.g., camera/radar/ultrasonic/parking/wait condition perception/multiple sensor fusion)
Believe that experimenting is the only way to find the truth, not argument
At least 3 years in DNN area
Located in Shanghai or willing to work in Shanghai
Subject to arrangement to different works at any time to take on different tasks and challenges

Responsibilities

Work on research, design and implementation of software features that are beneficial to customers to meet their performance targets and build unique values
Autonomous driving perception SW stack for improvement and issue fixes; eval/KPI for DNNs and issue triage and analysis
Develop solutions for computer vision DNN models acceleration optimization and deployment

Skills

Key technologies and capabilities for this role

C++PythonDeep LearningComputer VisionAutonomous DrivingSensor FusionDNNMachine LearningSoftware DesignDebugging

Questions & Answers

Common questions about this position

What is the location requirement for this position?

The role requires candidates to be located in Shanghai or willing to work in Shanghai.

What are the required qualifications and skills for this Perception Engineer role?

Candidates need a BS/MS degree in Computer Science/EE or related, proven fundamentals in C++/Python programming and SW design/debug skills, abundant knowledge of ML/DL techniques for Computer Vision and autonomous driving, and at least 3 years in the DNN area.

What does NVIDIA's company culture emphasize for this team?

NVIDIA seeks self-motivated individuals with a belief that experimenting is the only way to find the truth, not argument, and values creative and autonomous people in a diverse work environment.

What salary or compensation does this job offer?

This information is not specified in the job description.

What experiences make a candidate stand out for this role?

DNN development and network acceleration, along with familiarity with GPU computing/NVIDIA CUDA/NVIDIA TensorRT, are highly desired.

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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