Leader, Engineering - TPI Composites, Inc
Warren, RI 02885
About the Job
Lead Development Engineer
Location: Warren, RI
Reports to: Director of Manufacturing Technology
Candidate is a self-starter who can work independently in TPI’s dynamic and fast-paced team environment. The Lead Development Engineer participates in development activities using established scientific techniques to analyze data and create novel manufacturing procedures. Working Experience in Computer Vision including but not limited to imaging and lens calibration using high resolution cameras and image processing as well as AI techniques including but not limited to Solid knowledge of deep learning methods utilizing neural networks, statistical analysis, and machine learning solutions are required for this role. Background in computer programming using Python is essential for this position. The role expands scope and responsibility for a candidate that embraces our agile culture and has the desire to learn and grow.
Essential Responsibilities
• Develop and lead diverse and global team of engineers in Computer Vision, Statistical Techniques, and AI-Based methodologies
• Possess in-depth knowledge of a wide array of design and development techniques including Computer-aided Design, Finite Element Analysis, and Data Analytics and Artificial Intelligence.
• As the leader of a group, work to understand complex composite manufacturing practices and rapidly generate practical, actionable solutions to problems.
• Use sound analytical practices to collect data and translate that data into objective, informed engineering decisions, design inputs, and eventually design outputs.
• Be able to work independently with a wide degree of latitude in day-to-day activities.
• Contribute to the brainstorming process & generate value-added intellectual property.
• Leveraging technology to improve efficiencies and drive improvements
• Identify and research issues independently to develop innovative and scalable solutions through implementation; leverage lessons learned for identification
• Ad-hoc analysis and projects; at times in a compressed time environment
• Investigate, provide direction and facilitate resolution on engineering issues
• Collaborate and provide guidance on new technologies
• Ability to build strong relationships with diverse global teams
• Agility to adapt in a constantly changing role
Required Skills/Competencies
• Behaviors
o Agility
• Adaptability – embraces change and builds a change culture in the team, improvises as necessary, makes smart but fast decisions, remains calm in stressful situations
• Continuous Improvement – drives improvement by bringing people together and skillfully guiding through issues or areas that might be foreign and leveraging the team to create better processes and drive greater results
• Innovation – drives improvement through curiosity, open to new ideas, builds creative solutions by including all relevant voices and resources that can add value
o Collaboration
• Builds Trust - develops trusting relationships, practices open and honest communication, actions support philosophy and direction
• Teamwork – builds a collaborative culture to reach shared goals, seeks the perspectives of others, skilled at building a strong team by identifying strengths and development areas
• Comfortable working in a global and diverse environment
• Able to work easily with other functional teams to build relationships and accomplish shared goals
o Accountability
• Ownership - accepts responsibility for results, both the good and the unsuccessful
• Sets Direction - drives to set and achieve ambitious goals
• Takes Action - acts on feedback, takes initiative, delivers on plans
o Leadership
• Leads by example and builds a motivated team
• Develop top talent and effectively delegate
• Communication - shares information and communicates transparently; promotes two-way feedback in all relationships
• Technical
o Solid working knowledge of:
• Artificial Intelligence and Computer Vision by utilizing ML, DL, and image processing
• Finite Element Analysis for modeling composite manufacturing processes using ABAQUS
• Design of Experiments, Data collection and analysis
• Computer Programming using Python
o Proficient on CAD modeling using Catia, AutoCAD, etc.
o Solid written and oral communications skills
o Experience managing schedule/timelines
Experience
• Combination of 4+ years of Research and Development experience
• Experience in product development roles with growing responsibilities is preferred
• Process oriented, organized, ability to prioritize and detail oriented
• Must be able to commute on-site to our facility in Warren, RI
Education
• Master’s Degree in Mechanical Engineering or related field
• PhD is preferred
Travel: 10 – 20%