Senior Embedded Computer Vision Engineer

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.

As a Senior Embedded Computer Vision Engineer, you will have an opportunity to work on all layers of the NVIDIA Computer Vision stack from APIs and middleware to optimized algorithms for hardware blocks in NVIDIA Tegra SoC. You will contribute to design and test driven development of software features, and improve the performance, reliability, security, and safety of our Computer Vision stack.

What you'll be doing:

• Working in our Tegra Solutions Engineering Business Unit responsible for building and supporting our Computer Vision software, including safety-critical code.
• Champion API design reviews, documentation, application and algorithm development, and safety-critical processes both through advocacy and personal example.
• Analyse 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 Computer Vision software planning and processes.
• Work with Customers for Requirements Gathering and Architecture definition.
• Collaborate with hardware, platform software, safety, performance teams.

What we need to see:

• BS/MS (or equivalent experience) in Computer Science, Computer Engineering or Electrical Engineering.
• 5+ years of experience.
• Hands on experience with Image Processing and Computer Vision Algorithms used for Object Detection, Tracking, Localization and Classification and Deep Learning.
• Experience with SIMD programming and writing algorithms optimized for DSP architectures.
• Experience working on middleware like OpenCV.
• Strong programming skills in C/C++ with in-depth knowledge of object oriented development.
• Experience developing and debugging multithreaded applications & frameworks.
• Excellent OS fundamentals and knowledge of low-level drivers of Linux/QNX.
• Familiarity with source control tools (git, Perforce, etc.).
• Strong verbal and written communication skills.

Ways to stand out from the crowd:

• Familiar with one or more system safety methodologies and standards (ASPICE, ISO 26262, IEC 61508, ISO/PAS 21448).
• Knowledge of GPU or parallel computing platforms like CUDA.
• Experience with ARM CPU architecture and hardware considerations (memory controllers, buses, caches, etc.).
• Experience in Pre-Silicon/Post-Silicon or Board bring up.
• Knowledge of low level software like Linux/QNX kernel, real time operating systems.