Senior Software Engineer, Mapping Backend Services - Autonomous Vehicles

Sorry, this job was removed at 10:13 p.m. (CST) on Tuesday, Dec 16, 2025
5 Locations
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

We are looking for a Senior Software Engineer for our Autonomous Vehicle efforts within the Mapping backend and services team. The team has a variety of responsibilities, including cloud and backend services, distributed computing platform, map pipeline workflow management, CI/CD, etc. We build platforms, web services, and tools to ingest terabytes of data through a complex pipeline with advanced deep learning models and math algorithms to produce the highest quality maps for self driving cars.

We operate in a fast-paced and highly experimental fashion and seek the best engineers passionate about solving problems with a strong background in software development and system design in cloud environments to deploy and maintain large-scale backend clusters. Are you interested in building future technologies to create and serve HD maps to millions of self-driving cars across the globe? If so, join us!

What You'll Be Doing:

  • Developing microservice-based architecture to support mapping algorithms processing endless data streams in NVIDIA GPU data centers and public cloud.

  • Writing robust APIs that stores, queries, and retrieves PBs data.

  • Enabling services distributing maps for autonomous driving to millions of autonomous vehicles in real-time.

  • Collaborating with other engineering teams within Nvidia mapping including algorithms, client and validation

  • Supporting operations of mapping services.

What We Need To See:

  • Proven experience building large-scale software systems and cloud services.

  • BS/MS degree in Computer science or related areas (or equivalent experience)

  • 5+ years of experience in the related field

  • Strong programming in C++, Java, Python, and/or Go.

  • Engineering excellence with good design abstractions, API stability, unit testing, leading best practices for other engineers to follow, and solid documentation.

  • Have worked with both relational (SQL), and distributed database technologies.

  • Background with Kubernetes, Apache Kafka, and stream-based integration patterns such as Apache Flink.

  • Strive to learn, solve, and own hard problems end to end.

  • Good communication and analytical skills with ability to work with multiple teams and priorities

  • Great team player but an independent self starter.

Ways To Stand Out From The Crowd:

  • Prior knowledge of the mapping industry.

  • Experience building big data solutions that include data pipelining and processing.

  • Background with AWS services such as Lambda, RDS, EC2, EBS, ECS, DynamoDB, Batch.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 16, 2025.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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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