About Innowave Tech
Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in developing cutting-edge technologies for innovation and efficiency. Our focus is on leveraging computer vision and large-scale data analytics to meet the complex needs of our clients.
Position Overview
We are looking for a highly skilled and motivated Computer Vision Engineer to join our team full-time or as an Intern. This role is ideal for someone with a strong background in AI, particularly in the area of computer vision. The successful candidate will lead projects to develop and implement computer vision solutions tailored to the semiconductor industry.
Key Responsibilities
• Design, develop, and optimize computer vision algorithms for real-world applications.
• Collaborate with engineering teams to integrate computer vision technologies into our product offerings.
• Spearhead research initiatives to explore new methodologies and technologies in computer vision and AI.
• Document, present, and communicate findings and technical solutions effectively.
• Mentor junior team members and contribute to team knowledge sharing.
Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong expertise in computer vision and machine learning.
• Proficient in Python, with extensive experience in PyTorch, TensorFlow, or similar frameworks.
• Solid understanding of software engineering practices, including Docker, Git, APIs, and message queues.
• Demonstrated ability to solve complex problems and drive projects to completion.
• Excellent communication skills, with the ability to work effectively in a team and lead projects.
• A strong portfolio of relevant projects or research work in computer vision and AI.
What we Offer
• A leading role in cutting-edge AI projects within the semiconductor industry.
• The opportunity to work with an learn from experts in the field of AI and data science.
• A dynamic, innovative, and supportive work environment.
• Competitive salary and benefits package.
• Career growth opportunities in a fast-paces technology company.
Screening Questions
1. Do you have a strong portfolio of relevant projects or research work in computer vision and AI?
2. Do you have a solid understanding of software engineering practices, including Docker, Git, APIs, and message queues?
3. Do you have a strong expertise in computer vision and machine learning?
