NVIDIA DRIVE® Embedded Supercomputing Platforms process data from Camera, Radar, and Lidar sensors to perceive the surrounding environment, localize the car to a map, then plan and implement a safe path forward. This AI platform supports autonomous driving, in-cabin functions, and driver monitoring, plus other safety features—all in a compact, energy-efficient package. We need passionate, hard-working and creative people to help us tackle more of these challenging opportunities in Autonomous Driving and In-Car Infotainment.
As a Senior Computer Vision Software Engineer, you will have an opportunity to work on all layers of the NVIDIA Computer Vision Software stack from APIs to kernel and firmware. You will contribute to architecture, design and test driven development of software features, and improve the performance, reliability, security, and safety of our computer vision stack.
Working in our Tegra Solutions Engineering Business Unit responsible for building and supporting our Applications, Middleware and Drivers for Computer Vision.
Champion API design reviews, documentation, application and driver development, and safety-critical processes both through advocacy and personal example
Analyze failures and use your problem solving and software troubleshooting skills to resolve issues and tune our safety software.
Provide and collect continuous feedback from partners (internal and external customers, SQA and other supporting teams) and support changes to planning and processes
Work with Customers for Requirements Gathering and Architecture definition.
Collaborate with hardware, platform software, safety, performance teams
7+ years of experience with BS/MS (or equivalent) proven experience
Worked on Automotive Applications/Middleware and drivers for Computer Vision Pipelines on Edge Devices
Writing hardware accelerated code using DSP, GPUs for Computer Vision
Experience working on Imaging Pipelines using Cameras, Video Encoders and Decoders.
Strong programming skills in C/C++ with in-depth knowledge of object oriented development.
Experience developing and debugging multithreaded applications & frameworks
Excellent Computer Architecture and OS fundamentals
Knowledge of low-level drivers of Linux/QNX
Strong verbal and written communication skills
Familiar with one or more system safety methodologies and standards (ASPICE, ISO 26262, IEC 61508, ISO/PAS 21448).
Knowledge of Deep Learning Architectures is a plus
Experience with ARM CPU architecture and hardware considerations (memory controllers, buses, caches, etc.).
Experience taking code to production quality
Flexibility to work and communicate optimally in a multinational, multi-time-zone corporate environment.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, expression, sexual orientation, age, marital status, veteran status, or disability status.