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. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us! What you will be doing: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 requirementsHandle real-time system signals in cars running globallyWrite safe embedded software code to run in real-time systemsDevelop 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 teammatesMentor newer team members in software engineering and your areas of expertiseWhat we need to see: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.At NVIDIA, we believe that building self-driving vehicles will be one of the defining contributions of our generation. With traffic accidents causing approximately 1.25 million deaths per year globally, our mission is not just innovative but also critical for safety. We have the funding and scale to support our ambitious goals, and we need your outstanding skills and passion to help us succeed!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 October 25, 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.