MCubeSoft · 12 hours ago
Exensio Developer / Installation Engineer / Architect
Cupertino, CA
Contract
Hybrid
Lead/Staff
12+ years expMCubeSoft is working with Apple to provide expertise in Exensio development and installation. The role encompasses responsibilities such as deploying and configuring the Exensio analytics platform, designing solutions, and ensuring optimal performance through collaboration with various stakeholders.
Artificial Intelligence (AI)Cloud ComputingConsultingInformation TechnologyIT Infrastructure
Responsibilities
Install, configure, and maintain the Exensio platform on various operating systems and environments
Collaborate with client IT teams to ensure proper system integration and data connectivity
Troubleshoot installation and system issues, providing clear documentation and effective solutions
Conduct system testing and verification to validate successful deployment
Provide technical guidance and support during and after installation
Prepare and maintain installation guides, technical documentation, and procedural checklists
Design, develop, and implement solutions using the Exensio platform in alignment with business and technical requirements
Configure Exensio components, workflows, data models, and business rules as per solution design
Integrate Exensio with enterprise systems such as ERP, CRM, MDM, data warehouses, and external APIs
Develop and optimize data pipelines, transformations, and validation logic
Develop Dashboards as per the wireframes designed
Participate in requirement analysis, technical design discussions, and solution reviews
Perform unit testing, system testing, and support user acceptance testing (UAT)
Troubleshoot, debug, and resolve application, integration, and performance issues
Ensure adherence to coding standards, security guidelines, and data governance policies
Prepare technical documentation including design specifications, configuration guides, and deployment notes
Support deployment activities and provide post production support as needed
Define the end to end architecture for the PDF Exensio platform, covering data ingestion, storage, processing, analytics, and integration layers
Design high throughput, low latency data pipelines to handle large scale sensor and test data from manufacturing equipment
Ensure architecture supports scalability, resilience, performance, and security in high volume manufacturing environments
Architect solutions for real time and batch ingestion of sensor, test, and production data
Define data models, metadata standards, and data governance practices aligned with manufacturing and quality requirements
Ensure data quality, traceability, and consistency across the Exensio ecosystem
Enable advanced analytics and reporting capabilities to support yield optimization and product quality improvement initiatives
Collaborate with analytics, data science, and manufacturing teams to translate business and engineering requirements into scalable technical designs
Support root cause analysis and continuous improvement use cases using Exensio data assets
Act as the technical authority for Exensio platform design decisions and best practices
Review solution designs, guide implementation teams, and ensure adherence to architectural standards
Mentor engineers and architects, promoting architectural rigor and engineering excellence
Work closely with manufacturing, quality, IT, and business stakeholders to align platform capabilities with organizational goals
Support pre sales, RFP responses, and technical discussions by articulating Exensio architecture and value propositions when required
Collaborate with vendors and internal teams on platform enhancements and roadmap planning
Qualification
Required
Strong experience in Exensio development and configuration
Solid understanding of data management concepts including MDM, data quality, metadata, and reference data
Proficiency in SQL and experience working with relational databases
Hands on experience with system integration, APIs, and data exchange mechanisms
Familiarity with ETL/ELT processes, data validation, and transformation logic
Understanding of enterprise application architecture and integration patterns
Experience working in Agile/Scrum delivery models
Strong analytical, problem solving, and debugging skills
Ability to collaborate effectively with cross functional teams
12–15+ years of experience in semiconductor or manufacturing data management, with exposure to large scale data platforms
Strong background in data architecture, distributed systems, and high volume data processing
Hands on experience with sensor data, test data, and manufacturing systems
Proven ability to design and govern enterprise grade data platforms
Preferred
Proven experience in software installation, system integration, or IT engineering roles
Experience with Exensio or similar analytics/data platforms
Scripting and automation experience (e.g., Python, Bash, PowerShell)
Strong knowledge of Linux and Windows operating systems
Familiarity with databases, networking, and server configurations
Excellent problem-solving and communication skills
Familiarity with semiconductor manufacturing environments is a plus
Core Exensio platform Knowledge
Strong Knowledge of SQL
System integration and API Knowledge
Cloud platform exposure (AWS)
Knowledge of PDF Exensio Implementation and design, development
Knowledge of Snowflake and pipeline development for Exensio from Snowflake
Spotfire Integration Knowledge
Knowledge of Cassandra and Spark
Experience with Cloud / SaaS deployment model
Experience of Python programming language
Knowledge of Semantic Data Model from Exensio perspective
Company
MCubeSoft
Solutions with Excellence
11-50 employees
H1B Sponsorship
MCubeSoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (2)
Funding
Current Stage
Early StageCompany data provided by crunchbase