Job Title: Computer Vision Engineer 💻
Join a company where you can make a difference in solving real-world problems while learning and developing computer vision technologies. Oculi® is a deep-tech fabless semiconductor company that produces the OCULI SPU™, the first practical silicon that closely mimics biology in selectivity, parallel processing and efficiency but outperforms in speed. Join a team of experts in the field of artificial intelligence and play a critical role in delivering solutions that will enable or improve applications in consumer electronics, automotive and industrial applications.
About the Role ✍
You will work on a variety of tasks ranging from developing our breakthrough technology to designing and developing innovative imaging solutions that best solve clients’ problems across various industries.
You will implement new features, collect/analyze data, and come up with novel solutions to problems being faced across a variety of industries. This can involve writing embedded software, coding Verilog for an FPGA, coming up with and coding demos and contributing to an open source ecosystem. You will learn and develop low level image processing operations through to a full blown perception stack with some machine learning thrown into the mix.
Key Qualifications 🔍
> Degree in an engineering field such as Software Engineering, Electrical Engineering or other relevant fields.
> Interest in Computer Vision / Image processing.
> Strong mathematical ability to solve computer vision problems.
> Understanding of object-oriented software engineering and ability to write clean, well-documented code.
> Working knowledge of C++, Python, Matlab, VHDL/Verilog, and Linux desired.
> Solid troubleshooting and communication skills.
> Self-learner and independent problem solver who thinks creatively.
> Hard-worker and result oriented individual who challenges the status-quo.
> Comfortable working in a fast-paced and dynamic environment.
> Fluent in English.
Why should you apply to Oculi❓
✅ You get to work at the leading edge of some of the most advanced technologies in the world.
✅ You get to develop the next features to be introduced by large global companies.
✅ You get to collaborate with and learn from experts in the field of imaging sensors and computer vision.
✅ You get to work on technology that has an extensive background of R&D
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