全职 Algorithm Scientist 工作, 薪水, Nova Ltd. 新竹市, 台灣 公司招聘中 - Ricebowl

What we are looking for:

Nova Algorithm group is looking for an Algorithm scientist to join HQ TW Algorithms team in Hsinchu.

Requirements:

Requirements:

• M.Sc. in Physics/ Electrical Engineering/ Math or similar - Mandatory
• Ph.D or3+ years of experience in algorithm development- Mandatory
• Proven ability for independent research and algorithm development.
• Strong Python implementation skills is a must
• Excellent communication and presentation skills
• Ability to thrive in a multi-disciplinary environment
• Good team member
• Strong self-learning capabilities
• Highly motivated and independent
• Occasional travel to HQ

Get to know us better.

Nova (NASDAQ: NVMI) is a global company and a leading provider of innovative metrology solutions for process control in semiconductor manufacturing.

With a team of ~1400 people in three R&D centers and 27 field offices, we bring insights into the world’s most advanced industry. We leverage multiple technology fields such as physics, optics, chemistry, and algorithms to develop hardware and software solutions that measure almost every advanced computer chip built in the world.

Nova dives deep into dimensions and layers at the atomic level to extract unique insights and provide our customers with crucial decision-making data, handling critical challenges by providing unique, differentiated solutions.

Our outstanding people-focused and innovative culture means every person at Nova has the power to make an impact and significantly redefine what people can achieve through technology.

Join us if you are

A dreamer and brilliant high aimer who sees the impossible as the starting point and loves working in a multidisciplinary global team to create innovative breakthroughs.

Role Responsibilities:

What will you be doing:

• Play a pivotal role in designing, developing, and implementing cutting-edge algorithmic solutions and workflows for the next generation of Optical Critical Dimension (OCD) hardware and applications
• Work in a diverse range of disciplines, including advanced physical modeling, optimization, machine learning, and more.
• Evaluate and optimize new algorithms at customer site and support on-going evaluations
• Become a focal point of knowledge and expertise that supports evaluations and escalations in the field including interaction with the customers
• Be a part of HQ algorithm group