Senior Software Engineer - Onboard Mapping
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 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
What 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!
You will also be eligible for equity and benefits.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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