Machine learning engineer Jobs in Vallejo, CA

Job Title

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology.

Job Description

The candidate will play a key role in developing fault isolation methodologies for XADA. Working closely with customers, product engineering, and R&D teams, this individual will develop and optimize workflows for die-level fault localization, semiconductor failure analysis, and root-cause determination. The role requires a combination of technical expertise, hands-on laboratory experience, and customer engagement to drive successful adoption of XADA technology in advanced semiconductor applications.

Key Responsibilities

Through in-depth understanding of customer technologies and critical gaps and work throughout the work cycle until the implementation of the solution

Technically leads difficult, complex application activities and team

Leads the execution teams ß-sites, evaluation and demos at customers site, through high involvement in the SOW and commitment schedule

Interfaces with the customer regarding technical requirements analysis and schedule

Define/approve Product application support plans for installation

Create & Lead new methodologies in order to optimized system performance for specific application

Analysis, Develop and Transfer new application capabilities in the system envelope from product division to customer application support team

Lead customer Technical review meetings

Functional Knowledge

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership

• Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills

• Explains difficult or sensitive information; works to build consensus

Qualifications

• M.S. or Ph.D. in Electrical Engineering, Materials Science, Physics, or a related field.
• 2-5 years of semiconductor industry experience in failure analysis, silicon debug, product engineering, or applications engineering.
• Demonstrated ability to develop, document, and transfer application workflows and best practices for customer deployment.
• Experience with fault localization techniques such as LADA, LVP, SDL, or related semiconductor failure analysis methods.
• Experience using Advantest V93000 (93K) or equivalent ATE systems for device characterization and debug.
• Familiarity with DFT methodologies and CAD-based debug tools to support fault isolation and root-cause analysis.

Additional Information

Time Type: Full time

Employee Type: Assignee / Regular

Travel: Yes, 10% of the Time

Relocation Eligible: Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.