Full Job Description
Job Description:
Define the use case driven imaging and computer vision capabilities. Design, develop, and optimize computer vision algorithms in the areas of object detection, object tracking, SLAM, multi camera and camera calibration. Research, design, and drive end-to-end solutions for novel imaging and computer vision, deep learning, and AR based video and live view user experiences. Design, architect, and develop the end-to-end imaging and CV SW pipeline and application abstractions/APIs.
Minimum Requirements:
Master's degree or foreign equivalent in Computer Engineering, Robotics, or a closely related field. Must have experience or academic training with: Working on Deep Neural Network architectures, including Transformers, CNNs, and RNNs and optimizing these networks for high performance execution on edge devices and specialized hardware; Using Python for R&D and prototyping and C++ for production-level edge implementation; Applying PyTorch and TensorFlow for model training, architectural experimentation, and optimization; Managing large-scale clusters using Kubernetes and Ray.
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Total Rewards
We build the exceptional - and we believe the people doing that work should be rewarded accordingly. In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program.
Payments are discretionary and not guaranteed; actual amounts depend on company results and the terms of the plan in effect, and require active employment at the time of payout. This role is also eligible for equity in the form of Restricted Stock Units (RSUs), subject to board approval and the terms of our equity incentive plans, including applicable vesting requirements.
In addition to our compensation programs, we invest in our people with a comprehensive benefits package designed to support the health, wellbeing, and financial future for full-time employees - including health coverage, retirement savings, time off, and family planning programs. Offerings vary by country. Learn more about our global benefit programs.
External candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site (https://rivianvw.tech/#careers). If you are a current employee, please apply through our internal job board.
