Sr Principal Design Engineer/ Architect – Vision and Machine Learning Products

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

We are flexible on the job location within North America.

You will be a member of the Central Applications Engineering team for Tensilica products at Cadence Design Systems. You will focus on DSP and Accelerator products for Vision and Machine Learning. Members of the CAE team are technical experts in their field. In this position, you will work with Tensilica development and customer support teams. You will be involved in product definition and release, as well as in supporting customers with the programming, use, and integration of these products into their systems.

Responsibilities:

1. Become an applications engineering expert on Tensilica Vision and Machine Learning Products with a full understanding of the architecture, programming model, code optimization techniques, and system integration considerations of these products.
2. Work on customer benchmarks to support and demonstrate the products in actual software use cases.
3. Create code examples and help evaluate new DSP instruction sets and libraries and toolsets.
4. Work closely with the customer support team in supporting Tensilica customers to answer their advanced questions on these products. Interact directly with customers as needed to achieve this objective.
5. Work closely with the R&D team on new product development. Provide feedback on customer usage of our AI products and requests for enhancements so that future products may better serve customer requirements.
6. Develop customer training for these products and help train customers and field application engineers.
7. Write documentation, application notes, examples, and create and maintain a Knowledge Base on Vision and AI products.
8. Learn new algorithms and networks in computer vision and machine learning. Analyze and propose how to support new networks using Cadence Products.

Required Skills:

1. Experience with Neural Network HW accelerators.
2. Knowledge of Convolutional Neural Networks (Classification/Object/Detection).
3. Experience in optimizing and debugging code on DSP platforms with good knowledge of C/C++ as well as assembly programming.
4. Knowledge of computer vision algorithms and principles.
5. Strong written and verbal communication skills.
6. Experience in working with customers and resolving issues.
7. Some travel (up to 5% of time), including international travel may be required.
8. BS in EE/CS with 15+ years work experience or MS in EE/CS with 12+ years work experience required.

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