We are seeking a Systems Architect Manager to lead the specification and development of a new product class based on low latency, high bandwidth connected platforms for use in semiconductor manufacturing and development. This role will oversee the implementation and optimization of data analytics software, manage data projects, and partner with stakeholders to deliver actionable insights that guide business performance and growth. This is a new program and an opportunity to be a foundational member of transformative effort. This person will be reporting to the Corporate Vice President and Sr. management team member.
Pay Range: $180,000- $220,000 Annually (DOE)
Why us:
Certified Great Place to Work: Recognized in 2022, 2023, and 2024 based on employee feedback, and consistently ranked among the Top 30 companies in our industry for workplace excellence.
Customer-Focused Environment: Be our face. We value strong relationships, and youll work closely with customers to understand their needs and deliver high-impact solutions.
Culture of Continuous Learning: Growth never stops. You'll work with cutting-edge metrology tools, work with top engineers, and participate in ongoing industry training programs.
Responsibilities
Lead the strategy, deployment, and optimization of HW platform with supporting software to run real-time algorithms and analytics, storing data and interfacing with broad manufacturing infrastructure.
Collaborate with department leads to identify business questions and develop dashboards, reports, and visualizations to meet strategic needs
Translate business requirements into scalable data models and technical specifications
Manage and mentor a small team of analysts and/or contractors
Ensure high-quality data integrity, validation processes, and governance
Provide data storytelling that drives alignment and decision-making across all levels of the organization
Evaluate new technologies and tools to improve analytics capabilities and efficiency
Present findings and performance insights to senior leadership and executive teams
Your Roles and Responsibilities are:
Architect and build an appropriate platform based upon requirements developed in collaboration with other stakeholders for multimodal data synthesis and high-throughput actioning
Lead engineering efforts across disciplines including ML, hardware and physics simulation
Source platform components to build a prototype platform in anticipation of full product build; with system optimization, reliability and scalability
Work with application developers on the team and within product divisions to incorporate applications onto the platform
Implement APIs and user interfaces to deliver actionable results to operators, engineers or other systems
Work with key customers to roll out and implement.
Pay Range: $180,000- $220,000 Annually (DOE)
Why us:
Certified Great Place to Work: Recognized in 2022, 2023, and 2024 based on employee feedback, and consistently ranked among the Top 30 companies in our industry for workplace excellence.
Customer-Focused Environment: Be our face. We value strong relationships, and youll work closely with customers to understand their needs and deliver high-impact solutions.
Culture of Continuous Learning: Growth never stops. You'll work with cutting-edge metrology tools, work with top engineers, and participate in ongoing industry training programs.
Responsibilities
Lead the strategy, deployment, and optimization of HW platform with supporting software to run real-time algorithms and analytics, storing data and interfacing with broad manufacturing infrastructure.
Collaborate with department leads to identify business questions and develop dashboards, reports, and visualizations to meet strategic needs
Translate business requirements into scalable data models and technical specifications
Manage and mentor a small team of analysts and/or contractors
Ensure high-quality data integrity, validation processes, and governance
Provide data storytelling that drives alignment and decision-making across all levels of the organization
Evaluate new technologies and tools to improve analytics capabilities and efficiency
Present findings and performance insights to senior leadership and executive teams
Your Roles and Responsibilities are:
Architect and build an appropriate platform based upon requirements developed in collaboration with other stakeholders for multimodal data synthesis and high-throughput actioning
Lead engineering efforts across disciplines including ML, hardware and physics simulation
Source platform components to build a prototype platform in anticipation of full product build; with system optimization, reliability and scalability
Work with application developers on the team and within product divisions to incorporate applications onto the platform
Implement APIs and user interfaces to deliver actionable results to operators, engineers or other systems
Work with key customers to roll out and implement.
Requirements:
Bachelors degree in data Analytics, Statistics, Computer Science, Business, or related field (Masters preferred)
5+ years of hands-on experience in systems or platform engineering, with at least 12 years in a managerial or lead role
Strong proficiency in analytics software (e.g., Power BI, Tableau, SQL, Excel); Physics-based modeling and how to operationalize them; knowledge of Python or R is a plus; GPU acceleration a plus
Experience working with large datasets and cloud data platforms (e.g., Snowflake, BigQuery, Redshift
Proven track record of leading cross-functional projects and building data-driven culture
Strong business acumen and ability to translate complex data into strategic recommendations
Excellent communication, collaboration, and stakeholder management skills
That special something you bring in
Fearless at starting something new
Curious and able to work SW magic among multiple sophisticated measuring hardware technologies.
Bachelors degree in data Analytics, Statistics, Computer Science, Business, or related field (Masters preferred)
5+ years of hands-on experience in systems or platform engineering, with at least 12 years in a managerial or lead role
Strong proficiency in analytics software (e.g., Power BI, Tableau, SQL, Excel); Physics-based modeling and how to operationalize them; knowledge of Python or R is a plus; GPU acceleration a plus
Experience working with large datasets and cloud data platforms (e.g., Snowflake, BigQuery, Redshift
Proven track record of leading cross-functional projects and building data-driven culture
Strong business acumen and ability to translate complex data into strategic recommendations
Excellent communication, collaboration, and stakeholder management skills
That special something you bring in
Fearless at starting something new
Curious and able to work SW magic among multiple sophisticated measuring hardware technologies.
This position is open to all candidates.
