Senior Mapping Pipeline Engineer at NVIDIA

Beijing, China

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, TechnologyIndustries

Requirements

BS or MS degree in Computer Science, Software Engineering, or related field (or equivalent experience)
5+ years of proven experience building production data pipelines, distributed systems, mapping infrastructure, or map to vehicle integration
Strong C++ programming skills for performance-critical algorithms, data processing tools, and on-vehicle software
Strong Python programming skills for automation, workflow orchestration, and API development
Proficiency with JavaScript for building web-based tools, visualizations, and internal dashboards
Hands-on experience with Airflow or similar workflow orchestration frameworks
Experience with Docker, Kubernetes, and cloud platforms
Experience with Protocol Buffers, gRPC, and REST API design
Excellent problem-solving skills and ability to debug sophisticated distributed and embedded systems

Responsibilities

Design and implement triggering systems and deploy containerized orchestration pipelines for distributed map creation, maintenance, and evaluation from crowdsourced vehicle data
Develop map quality detection systems including automated hotspot detection algorithms and human-in-the-loop review workflows for large scale map validation
Develop Python, C++, and JavaScript tools for map management, data validation, on-vehicle testing, and web-based geospatial visualizations
Build C++ modules for on-vehicle map integration with perception, localization, and other consumers to ensure end-to-end validation of the maps' impact on driving performance
Work with embedded systems and real-time constraints to optimize map consumption by autonomous driving software
Collaborate with perception, planning, and operations teams to improve map quality and real-time driving performance

Skills

Python

C++

JavaScript

Distributed Systems

Data Pipelines

Containerized Orchestration

Map Processing

Quality Detection

Embedded Systems

Geospatial Visualizations

Workflow Automation

Real-time Constraints

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