Job Description
We are seeking a highly talented individual for a software algorithm engineering position in MACH Division. The successful candidate will join a world-class team of algorithm and software engineers to design deep learning, machine learning, image processing and related algorithms for wafer inspection and metrology applications.
A key qualification of the candidate is the ability and passion to create current ideas, analyze complex systems, formulate mathematical solutions and implement machine learning workflows that are practical for use in production. The candidate is expected to possess valuable oral and written communications skills, and domestic or international travel involved for up to 20% (supporting customer betas or visiting/training in Hefei China/US, etc.). In addition, the candidate will be required to provide technical guidance and direction to other algos members in the team.
Detailed responsibilities include:
Evaluating and improving DL/ML training sets and associated workflow processes
Evaluating and improving DL/ML learning model performance




Comparing and assessing various DL/ML learning models
Evaluating and implementing algorithms to improve signal to noise ratio from variety of image conditions (i.e., extracting information from noisy images)
Working with local and global teams in all phases of product lifecycles
Working with product engineering teams to define performance specifications and deliver to those specifications
Providing technical support during product demos and beta testing, working with domain experts from other functional teams on customer engagement projects
Minimum Qualifications
MANDATORY BACKGROUND – COMPUTATIONAL PHYSICS OR MATHEMATICS OR PHYSICS AND WHO HAS WORKED IN IMAGES OR DATAS AND ALGORITHMS
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master’s Level Degree and related work experience of 3 years; Bachelor’s Level Degree and related work e

📌 Ai R&d Engg 59662 Chennai
🏢 Cephas Consultancy Services
📍 Chennai