Job description

In this role, you will be responsible for prototyping, implementing, and productizing embedded, lightweight computer vision algorithms for ISP processing and capture control. The ideal candidate should be able to balance optimization and performance in resource-constrained environments, keep up with rapid technological advancements in both computer vision and hardware, and ensure seamless integration with existing systems and processes. 1. Algorithm Development, Prototyping, and Implementation -Develop lightweight computer vision algorithms suitable for embedded systems, focusing on efficiency and performance. ---Utilize both traditional CV techniques (e.g., image processing, feature detection, IMU) and modern learning-based approaches. -Drive the development of algorithms from concept to deployment. Optimize algorithms for power and processing efficiency, and ensure they meet the necessary performance benchmarks. 2. Simulation and Testing -Use camera simulations to prototype and test algorithms before hardware implementation. -Conduct on-device testing and field testing to validate algorithm performance in real-world scenarios. 3. Collaboration and Integration -Work closely with various teams, such as SOC architecture, firmware, and other camera technology units, to integrate algorithms effectively. -Ensure smooth deployment and operation of algorithms within the broader camera system architecture. -Collaborate with multiple teams to deliver optimized solutions. Deep understanding of image signal processing for digital cameras. Strong embedded coding skills and understanding of object-oriented programming (OOP); proficiency in programming languages such as MATLAB, Python, C/C++, or similar. Self-driven approach to work, with a focus on time-sensitive practices, from problem identification to prototyping solutions and validation. PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or a related technical field. Strong background in computer vision and embedded systems. Proficiency in algorithm development, with proven experience in camera imaging algorithms, using a mix of traditional image processing techniques and machine learning approaches. Ability to tackle complex technical challenges and devise innovative solutions. Quick to learn and apply new technologies and methodologies. Comfortable operating in a dynamic and fast-paced environment. Driven to deliver high-quality features that enhance user experience.

Requirements

Must-haves

In this role, you will be responsible for prototyping, implementing, and productizing embedded, lightweight computer vision algorithms for ISP processing and capture control.
Algorithm Development, Prototyping, and Implementation
-Drive the development of algorithms from concept to deployment. Optimize algorithms for power and processing efficiency, and ensure they meet the necessary performance benchmarks.
Simulation and Testing
-Use camera simulations to prototype and test algorithms before hardware implementation.
-Conduct on-device testing and field testing to validate algorithm performance in real-world scenarios.
Collaboration and Integration
-Work closely with various teams, such as SOC architecture, firmware, and other camera technology units, to integrate algorithms effectively.
-Ensure smooth deployment and operation of algorithms within the broader camera system architecture.
-Collaborate with multiple teams to deliver optimized solutions.
Deep understanding of image signal processing for digital cameras.
Strong embedded coding skills and understanding of object-oriented programming (OOP); proficiency in programming languages such as MATLAB, Python, C/C++, or similar.
Self-driven approach to work, with a focus on time-sensitive practices, from problem identification to prototyping solutions and validation.
PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or a related technical field.
Strong background in computer vision and embedded systems.
Proficiency in algorithm development, with proven experience in camera imaging algorithms, using a mix of traditional image processing techniques and machine learning approaches.
Ability to tackle complex technical challenges and devise innovative solutions.
Quick to learn and apply new technologies and methodologies.
Comfortable operating in a dynamic and fast-paced environment.
Driven to deliver high-quality features that enhance user experience.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaimachine learning

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision