Senior software Engineer

Introduction to the job

ASML US, including its affiliates and subsidiaries, bring together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. 

As a Sr. algorithm engineer, you will develop and implement computer vision algorithms help SEM inspection and metrology tasks for various patterns/layers, improve system throughput and computation efficiency.

This position may require access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require the Company to proceed with candidates who are immediately eligible to access controlled technology.

Role and responsibilities

• Participate in algorithm development for E-beam inspection. Investigate, prototype and optimize advanced algorithms for wafer inspection and metrology. Related modules include but are not limited to die-to-database alignment, die-to-database inspection, and die-to-die inspection.

• Collaborate with architects, designers, and engineers to develop robust defect inspection modules.

• Work with Product Management to prioritize feature development and breakdown tasks.

• Drive infrastructure and architectural optimization solutions.

• Perform code reviews and ensure proper design and delivery.

• Assessment and improve algorithm performance.

• Troubleshooting on the existing algorithms and customer escalation cases.

Education and experience

• MS or PhD in Computer Science, Image Processing, Machine Learning, Applied Mathematics, or related field. PhD is a plus.

• 2+ years of research or hand-on development as a computer vision engineer, Machine learning engineer or related role.

• At least 5 years hand-on experience in the semi-conductor industry area.

• Solid skills in C++ programming.

• Experience in GDS/OASIS related algorithms and software modules, such as pattern grouping, pattern searching, and pattern analysis used in SEM Wafer / Mask inspection systems.

• Good communication and organizational skills.

• Experience transferring technology from research in computer vision, image processing or machine learning into a shipping product.

• Ability to work on complex projects and translate requirements from internal and external customers into algorithm specs. 

Skills

Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.
To thrive in this job, you’ll need the following skills:

• Can observe and respond to people and situations and interact with others encountered in the course of work.

• Can learn and apply new information or skills.

• Must be able to read and interpret data, information, and documents.

• Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency and professionalism.

• Ability to complete assignments with attention to detail and high degree of accuracy.

• Proven ability to perform effectively in a demanding environment with changing workloads.

• Result driven-demonstrate ownership and accountability.

• Work independently or as part of a team and follow through on assignments with minimal supervision.

• Demonstrate open, clear, concise and professional communication.

• Ability to establish and maintain cooperative working relationships with co-workers and customer.

• Work according to a strict set of procedures within the provided timelines.

Diversity & Inclusion

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

Other information

• Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. Occasionally required to move around the campus.

• Occasionally lift and/or move up to 20 pounds.

• May require at most 10% travel domestic and/or international dependent on business needs.

• Ability to complete assignments with attention to detail and high degree of accuracy.

• Proven ability to perform effectively in a demanding environment with changing workloads and deadlines.

• Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses and gloves for entire duration of shift.

• The environment generally is moderate in temperature with moderate to high noise level.

EOE AA M/F/Veteran/Disability

Need to know more about applying for a job at ASML? Read our frequently asked questions.

 

The current base annual salary range for this role is currently $0-$0. Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. Our recruiters can share more information about our bonus program, benefits and equity during the hiring process.