Senior Software Engineer, Map Pipeline - Autonomous Vehicles at NVIDIA

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

0.0

Posted On

06 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, JavaScript, Software Design, Distributed Systems, Workflow Automation, Containerized Orchestration, Airflow, Docker, Kubernetes, Cloud Platforms, Protocol Buffers, gRPC, REST API, Geospatial Visualizations, Embedded Systems

Industry

Computer Hardware Manufacturing

Description

We are seeking a Senior Software Engineer to join NVIDIA's Autonomous Vehicle Map Team. The map is the spatio-temporal prior for on-vehicle driving models, enabling autonomous vehicles to continuously improve performance on frequently driven routes. In this role, you will architect and implement production-grade map processing solutions across cloud and edge environments spanning automated pipeline orchestration, quality detection systems, and on-vehicle consumer integration. We are looking for outstanding engineers passionate about building intelligent systems for self-driving cars, with expertise in software design, distributed systems, and workflow automation. If you're excited about building the infrastructure that enables human-level AI for navigation, this is your opportunity to make an impact. What you'll be doing: 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 What we need to see: BS or MS degree in Computer Science, Software Engineering, or related field (or equivalent experience) 8+ 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 Ways to stand out from the crowd: Extensive experience with SD & HD mapping and autonomous vehicle software architectures Deep understanding of how maps are consumed by localization, perception, and planning systems in autonomous vehicles Deep knowledge of road topology generation, analysis, and graph partitioning algorithms Background with computer vision concepts pipelines (3D geometry, point clouds, structure-from-motion, COLMAP, SfM, visual odometry) Experience debugging and profiling performance on embedded platforms (NVIDIA Orin, Xavier, etc.) NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous, and love a challenge, we want to hear from you. Come join our Autonomous Vehicle team and help us build the future of transportation! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The engineer will design and implement triggering systems and deploy containerized orchestration pipelines for distributed map creation, maintenance, and evaluation using crowdsourced vehicle data. They will also develop map quality detection systems, including automated hotspot detection algorithms and human-in-the-loop review workflows for large-scale map validation.