Senior Software Engineer - Onboard Mapping

Details

We are looking for a Senior Software Engineer for Autonomous Vehicles in the DRIVE mapping team. Your role involves developing scalable, fault-tolerant software to facilitate reliable map downloads and transformations. Working closely with teams in perception, localization, and fusion, you will ensure seamless integration between map delivery systems and in-vehicle consumers. We seek extraordinary engineers who are passionate about building self-driving cars and who have a background in mapping, computer vision, and embedded real-time software.

Responsibilities

• Develop APIs and data pipelines that enable efficient retrieval, versioning, and synchronization of map content across fleets.
• Invent and implement large-scale quality-measurement algorithms for fused map and perception information.
• Collaborate with on-vehicle consumers to define map data formats and performance requirements.
• Handle real-time system signals in cars running globally.
• Write safe embedded software code to run in real-time systems.
• Develop highly efficient product code in C++ and apply algorithmic parallelism through GPGPU programming (CUDA).
• Produce code and builds adhering to automotive quality and safety standards (AUTOSAR, ISO 26262).
• Review architecture, build, and software code from teammates.
• Mentor newer team members in software engineering and your areas of expertise.

Requirements

• BS or MS in Computer Science or equivalent experience.
• 3+ years of proven experience building robust software.
• At least 3 years of C++ development experience.
• Background in 3D geometry and computer vision.
• Passion for robotics and autonomous vehicles.
• Drive to learn new things and solve significant problems.
• Outstanding communication and cross-team collaboration.
• Independent and analytical software engineering skills.

Ways to stand out from the crowd

• Software development on embedded or automotive platforms.
• Experience in global-scale map building and geographic information systems (GIS).
• Expertise in runtime optimization of code using profilers.
• Strong API and framework building skills.
• Experience with CUDA parallel programming.

Benefits and additional information

• Base salary will be determined based on location, experience, and pay of employees in similar positions.
• Base salary ranges provided: Level 3: 148,000 USD - 235,750 USD; Level 4: 184,000 USD - 287,500 USD.
• Eligible for equity and benefits.
• Applications for this job will be accepted at least until October 25, 2025.
• NVIDIA is an equal opportunity employer committed to diversity and inclusion.