AVEVA · 5 hours ago
Services Intern
Houston, TX
Internship
Hybrid
Intern
$52K/yr - $88K/yrAVEVA is a global leader in industrial software, recognized for its commitment to sustainability and innovation. The Services Intern will collaborate with the Delivery team on the AVEVA operations software platform, contributing to its development and deployment while gaining insights into solution design and implementation.
ChemicalComputerData MiningElectronicsIndustrial ManufacturingInformation TechnologySimulationSoftware
Responsibilities
Collaborate with our Delivery team on the AVEVA operations software platform, contributing to its development and deployment across various sectors
Shadow experts gain insights into solution design, testing, and implementation of our industrial solutions
Explore innovative ways to market our products, expand to new regions, and contribute to strategy development and performance enhancements
Be a part of the client-facing Delivery Services team assisting in the selection of AVEVA software and its usage after it has been released
Assist in designing, deploying and testing software applications, under the guidance of subject matter experts
Assist in establishing global standards for data architecture that all customers can apply to help ensure the goals of the end user are met or exceeded at full scale
Engage in projects that could range from market analysis to technological innovation
Your contributions could include strategic development, solution redesign, or performance optimization
Qualification
Required
Students currently enrolled in a full-time BS, MS, or PhD program
Chemical Engineering, Materials Science, Mechanical Engineering, Chemistry, Biochemical/Biomedical Engineering, Petroleum Engineering, and Environmental Engineering
minimum GPA of 3.0
Excellent verbal and written communication abilities
Capable of articulating technical concepts to a non-technical audience
Ability to tackle complex issues with a logical and analytical approach
Proficiency in analyzing data and making data-driven decisions
Proven ability to work effectively in a team environment
Flexibility to adapt to new challenges and changes in a dynamic work environment
Eagerness to learn new technologies and concepts quickly and apply them effectively
Meticulous attention to detail in all aspects of work
Strong self-motivation and independent thinking
Persistence and determination to succeed
An innovative mindset with a proactive 'can-do' attitude
Preferred
Experience with data analysis tools and methodologies
Experience in collaborative projects
Programming and scripting skills
Familiarity with Microsoft technology stack
Foundational understanding of Python, JavaScript, C#, or CSS
Familiarity with Saas, Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or other cloud platforms
Experience with SQL, data analytics, and data modeling with an emphasis on interpreting operational data from oil & gas systems
Basic understanding of REST APIs and web services, particularly for integrating simulation tools and industrial data sources
Exposure to DevOps tools (e.g., Git, Docker, Jenkins)
Basic knowledge of industrial automation systems or SCADA platforms, especially for monitoring pipeline operations and thermodynamic processes
Ability to work with Agile methodologies and tools like JIRA or Confluence
Benefits
Competitive pay.
Mentorship: You will be assigned a technical mentor to guide you during your internship.
Continuous Learning: In-office training in defensive programming, debugging, and more.
Learning Series: You will learn more about AVEVA from meeting with our Executive Team and Business Unit Leadership Team members.
Stipend for expenses for duration of internship.
Company
AVEVA
AVEVA is an engineering IT software provider to plant, power, and marine industries.
Founded in 1967
5001-10000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2022-09-21Acquired
1999-03-19IPO
Leadership Team
Caspar Herzberg
Chief Executive Officer, AVEVA & Member of the Schneider Electric Executive Committee
Jon Hobbs
SVP R&D - Industrial Engineering & AI
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