Job Description/Preferred Qualifications Key Responsibilities:

• Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.

• Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale.

• Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions.

• Optimize algorithm performance and resource utilization to meet business objectives.

• Stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies, and apply them to improve our systems.

• Drive continuous improvement in development processes, tools, and methodologies. Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm.

• Familiar with high performance computing, parallel programming and distributed systems.

• Strong leadership and team management skills, with a track record of successfully leading engineering teams.

• Proficiency in programming languages such as Python, C++ and CUDA.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration abilities.

Preferred Qualifications:

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with GPU architecture and algo development toolkit like Docker, Apptainer. Minimum Qualifications

• Bachelor's degree plus 8 + years of experience

• Master's degree plus 8 + years of experience

• Familiar with high performance computing, parallel programming and distributed systems.