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Software Engineer - DL & MLOps
Software Engineer - DL & MLOpsASML • San Jose, CA, United States
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Software Engineer - DL & MLOps

Software Engineer - DL & MLOps

ASML • San Jose, CA, United States
22 hours ago
Job type
  • Full-time
Job description

Introduction to the Job

We are seeking a talented and innovative Deep Learning and MLOps engineer to become part of our dynamic team. In this hybrid role, you will blend expertise in both algorithms and infrastructure to create advanced solutions for e-beam inspection and metrology.

Planning is primarily self-directed, with limited guidance from a Lead Engineer.

Additionally, the position includes designing, developing, testing, and integrating software for ASML machines and applications. This involves implementing analytics, data, control, and algorithm solutions to help customers achieve optimal manufacturing performance.

Role and responsibilities

Research new deep learning (DL) algorithms for computer vision

Productize the algorithms for performance, speed, and robustness

Develop infrastructure to support the deployment of the algorithms at customer sites

Conduct research and feasibility studies to support engineering projects and validate proposed solutions.

Develop and refine design requirements, documenting specifications and ensuring traceability throughout the project lifecycle.

Prepare high-level and detailed designs following System Engineering Guidelines, considering factors such as manufacturing, logistics, cost, and market constraints.

Review product designs, contribute to testing processes, execute qualification tests, and maintain accurate technical documentation.

Collaborate with team members to estimate project efforts, solve problems, and keep technical expertise up to date while adhering to safety policies.

Education & Experience

Bachelors degree in Computer Science

Proficiency in DL algorithms (CNN and VLM-based) for computer vision applications

Experience in MLOps technologies (e.g., MLflow, PyTorch, Kubernetes)

Skills

To thrive in this job, youll need the following skills :

Expertise in deep learning algorithms

Practical experience with MLOps

Proficient in Python

Strong analytical and problem-solving abilities to propose multiple design solutions in environments with technical uncertainties.

Ability to work independently while collaborating effectively with team members and suppliers

Hands-on experience with software design, development, testing, and integration

Familiarity with requirements analysis, feasibility studies, and system engineering guidelines

Effective written documentation and verbal communication

Consistent adherence to safety and environmental guidelines

Dedication to continually learning emerging technologies and approaches

Other information

This position is located on-site in San Jose, CA. It requires onsite presence to attend in-person work-related events, trainings and meetings and to further ensure teamwork, collaboration and innovation.

A flexible workplace arrangement may be available to employees working in roles conducive to remote work (up to two days a week).

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.

Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.

The current base annual salary range for this role is currently :

$91,500-152,500

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.

The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Companys 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US.

All new ASML jobs have a minimum application deadline of 10 days.

Inclusion and diversity

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 inclusion and diversity is a driving force in the success of our company.

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

Request an Accommodation

ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and / or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@ to initiate the companys reasonable accommodation process.

Please note : This email address is solely intended to provide a method for applicants to initiate ASMLs process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

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Software Engineer • San Jose, CA, United States

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