Senior Software Engineer, Dense Reconstruction at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Autonomous Vehicles, Computer GraphicsIndustries

Requirements

Master's degree or equivalent experience in computer science, computer engineering, AI or a related field
Established proficiency in computer vision, focusing on gaussian splatting, visual language model, feed-forward model and advanced technologies
More than 5 years of working experience on autonomous vehicle industry and simulation
Strong proficiency in software development (C++, Python)
Outstanding build, coding, and debugging skills
Excellent communication and teamwork abilities, excelling in a collaborative and inclusive environment
Highly motivated, diligent, and passionate about embracing new technologies
Ways to stand out
Demonstrated experience with LiDAR, Radar, camera, IMU, and other sensor technologies
Comprehensive understanding of autonomous vehicle stacks or similar large systems, with hands-on experience integrating multiple components into one flawless solution
Outstanding problem-solving skills and a proven track record of tackling complex technical challenges
Ability to determine the most effective methods for improving system performance and reliability

Responsibilities

Develop a scalable 3D reconstruction system to showcase our proficiency in autonomous simulation and training
Engage in 3D reconstruction-related research and apply those findings in our autonomous real use cases
Stay updated on the newest advancements in 3D reconstruction and incorporate them to improve our model and pipeline
Collaborate closely with cross-functional teams to successfully implement innovative solutions
Drive the integration of 3D reconstruction capabilities into our world-class autonomous vehicle platforms

Skills

Key technologies and capabilities for this role

Computer Vision3D Gaussian SplattingFeed-Forward ModelsVisual Language Models3D Reconstruction

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Software Engineer role?

A Master's degree or equivalent experience in computer science, computer engineering, AI or a related field is required, along with more than 5 years of working experience in the autonomous vehicle industry and simulation.

What programming languages and technical skills are needed for this position?

Strong proficiency in C++ and Python is required, along with established proficiency in computer vision focusing on gaussian splatting, visual language model, feed-forward model, and advanced technologies, plus outstanding build, coding, and debugging skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What qualities or experiences make a candidate stand out for this role?

Candidates stand out with demonstrated experience with LiDAR, Radar, camera, IMU, and other sensor technologies, comprehensive understanding of autonomous vehicle stacks with hands-on integration experience, outstanding problem-solving skills, and ability to improve system performance and reliability.

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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