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™, and we are revolutionizing Vision AI at the edge with Software-Defined Vision Sensors™ enhancing AI-driven applications with highspeed, low power, and high privacy. Join a team of experts in the field of artificial intelligence and play a critical role in delivering solutions that will enable smart sensing applications across IoT, Industrial monitoring, and mobile electronics

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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. 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.

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Qualifications

You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

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Minimum Qualifications

• Degree in Computer Science, Electrical Engineering or other relevant fields.

• Strong embedded coding skill and understanding of object-oriented programming (OOP).

• Proficiency in C/C++, Python, VHDL/Verilog, or similar.

• Familiarity with developing algorithms on MCUs with tight compute, memory, and power constraints.

• Fluent in English.​

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Preferred Qualifications

• Proficiency in model deployment tools such as TensorFlow Lite for Microcontrollers, ONNX Runtime.

• Experience in optimizing and quantizing ML models for real-time inference on edge devices.

• Strong background in computer vision and embedded systems.

• Experience working with hardware and hardware design engineers.

• 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 and interfacing with customers.

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Why should you apply to Oculi

✅ You get to develop the next features to be introduced by large global companies.

✅ You get to work at the leading edge of some of the most advanced technologies in the world.

✅ 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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Salary range dependent on a number of factors including location and experience.

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If you find this job stimulating send your CV in PDF format to info@oculi.ai. Please include the Job Title in the email subject.