Engineering Design Process Definition Jobs in Usa
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This role supports our vision of becoming a center of excellence for medical‑grade molding by applying scientific molding principles, ensuring regulatory compliance, and driving high‑quality, data‑driven manufacturing performance.
Key Responsibilities: Lead injection molding process development, optimization, and documentation activities to support production efficiency and product quality.
Apply scientific molding techniques to achieve consistent part quality, reduce defects, and optimize cycle times.
Conduct molding validations (IQ, OQ, PQ) in accordance with medical device regulatory requirements and internal quality standards.
Troubleshoot molding issues using structured problem‑solving tools, including root‑cause analysis and FMEA.
Maintain accurate and detailed process documentation to ensure traceability, audit readiness, and compliance.
Collaborate closely with Quality, R&D, Regulatory, and Production teams to support new product introductions and ongoing manufacturing improvements.
Support continuous improvement initiatives using SPC, DOE, Lean, and Six Sigma methodologies.
Review and interpret AutoCAD/SolidWorks drawings to support tooling, process setup, and engineering changes.
Qualifications: Bachelor’s degree in Engineering, Chemical Engineering, or related technical field.
4–6 years of experience in plastic injection molding, preferably within the medical device industry.
Completion of a Scientific Molding course (e.g., RJG Fundamentals of Systematic Molding) preferred.
Strong understanding of medical‑grade polymers, molding equipment, and process control methodologies.
Experience working in regulated manufacturing environments.
Proficiency in data‑driven process monitoring and analysis.
Excellent communication and cross‑functional collaboration skills.
Preferred Attributes: Continuous improvement mindset with demonstrated success implementing process enhancements.
High attention to detail and strong documentation discipline.
Commitment to product quality, patient safety, and ethical decision making.
Note: Plastic experience required.
Master Molder certification preferred.
Decoupled Molding Principle Project Management Requires good communication, people skills to work well with other departments, customers 10+ Year in Plastic Manufacturing Industry Ability to write technical reports and prepare and make effective presentations Engineering Degree a Plus but not required Key Responsibilities: Lead injection molding process development, optimization, and documentation activities to support production efficiency and product quality.
Apply scientific molding techniques to achieve consistent part quality, reduce defects, and optimize cycle times.
Conduct molding validations (IQ, OQ, PQ) in accordance with medical device regulatory requirements and internal quality standards.
Troubleshoot molding issues using structured problem‑solving tools, including root‑cause analysis and FMEA.
Maintain accurate and detailed process documentation to ensure traceability, audit readiness, and compliance.
Collaborate closely with Quality, R&D, Regulatory, and Production teams to support new product introductions and ongoing manufacturing improvements.
Support continuous improvement initiatives using SPC, DOE, Lean, and Six Sigma methodologies.
Review and interpret AutoCAD/SolidWorks drawings to support tooling, process setup, and engineering changes.
Build a Career That Matters with One of the World's Most Respected Employers!
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THE OPPORTUNITY
Michelin has Summer 2026 Environmental Engineering Internship opportunities in Greenville, SC, Lexington, SC and Norwood, NC who will craft, implement, and evaluate solutions to environmental problems. Michelin's purpose is to support everyone's right to move freely to find their better way forward. This role makes a direct impact on our world by reducing pollution, conserving resources, and protecting human health and the environment. If respect for people, teamwork and trust are some values you live by you should consider joining us, the Worldwide leader in Tires!
WHAT WILL YOU DO
- Work on a project team to analyze data to improve performance and/or production
- Ensure products meet the defined quality and performance standards
- Assist with productivity, cost-reduction, and continuous-improvement projects
- Study processes and propose improvements
Ready to Shape the Future of Innovation?
Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.
The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.
Why Michelin?
- Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.
- Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Business Resource Groups and Inclusion Councils.
- Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.
- Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.
Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at .
This position is not available for immigration sponsorship.
We build the future with people like you. Begin your career with Michelin today!
DISCLAIMER(S):
*THIS IS AN UNPAID INTERNSHIP, WITH THE POTENTIAL FOR FUTURE EMPLOYMENT.*
*WE ARE SPECIFICALLY LOOKING FOR INTERNS WHO WORK WITH RECORDING ARTISTS, FILM/TV/LIVE SOUND ENGINEERS ARE NOT IDEAL CANDIDATES.*
Company Description
Invite Only Studios is an experiential recording and photography studio based in the Chelsea neighborhood of New York City. Our multi-million dollar, state-of-the-art space has only been around since October 2019, but we have hosted many clients since then. To name a few, we have hosted Mary J. Blige, Alicia Keys, Darren Barnett (2021 People Choice Awards Winner) and Offset. We have also hosted events for ESPN, KIDinaKORNER (Imagine Dragons), Swizz Beats, Snoop Dogg, Def Jam Recordings, Russ, Saint JHN and Nike. In addition, we have created musical content for brands such as Starbucks, JP Morgan-Chase, Sunny D, Summer's Eve, Wendy's and Weight Watchers.
In addition, we work with several indie artists and assist them in their journeys to propel their careers. At Invite Only we welcome creativity from anyone who is willing to contribute ideas. If you think this role would suit you please apply as soon as you can!
Job Description
This role is intended for candidates seeking to advance their careers as Audio Engineers, particularly those with regular experience working with recording artists.
Tasks & Responsibilities
- Being present for sessions and available to complete tasks for clients.
- Going on runs for clients and staff when necessary.
- Maintaining studio cleanliness & etiquette.
- Completing projects dictated by studio management as directed.
- Maintaining a positive attitude, enthusiasm, and willingness to be as effective as possible.
Skills & Qualifications
- Some type of educational training in audio engineering.
- Knowledge and experience in Pro Tools.
- Troubleshooting equipment & signal flow.
- Excellent time management & organization skills.
DISCLAIMER(S):
*THIS IS AN UNPAID INTERNSHIP, WITH THE POTENTIAL FOR FUTURE EMPLOYMENT.*
*WE ARE SPECIFICALLY LOOKING FOR INTERNS WHO WORK WITH RECORDING ARTISTS, FILM/TV/LIVE SOUND ENGINEERS ARE NOT IDEAL CANDIDATES.*
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Project Manager
6 mo. contract to perm hire
Raleigh, NC
Required Skills & Experience
• 5–10 years Project Management experience (ideal)
• Strong technical understanding, ideally with AI / ML / GenAI exposure
• Ability to understand technical details and track progress with engineers & data scientists
• Strong stakeholder communication
• Self-driven, minimal hand-holding
• Experience running multi-team, cross-functional initiatives
Experience managing multiple projects concurrently
Nice to Have Skills & Experience
• Former developer or data scientist background before PM
• Hands-on experience with AI products, AI content pipelines, embeddings
• Experience in B2B environment
Experience in multi-year, large-scale data or ML programs
Job Description
• Manage multiple AI-related projects under the hiring manager's org
• Track progress across engineering + data science teams (~10 people)
• Manage long-term initiatives (multi-year)
• Coordinate embedding strategy project with 20–30+ cross-functional contributors
• Provide weekly updates and progress tracking
• No customer-facing work — only internal stakeholders
• Move projects forward proactively, ensure clarity, keep leadership informed
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
The ideal candidate possesses both a high level of technical expertise and an innate passion to build. You will play a critical role in creating and refining processes in order to improve manufacturing safety, quality, and productivity.
Responsibilities
- Create and maintain work instructions and manufacturing specifications
- Identify and recommend methods for improving worker efficiency and reducing waste of materials and utilities
- Collaborate cross-functionally to facilitate production process and evaluate potential changes
Qualifications
- Bachelor's degree in either Industrial or Mechanical Engineering
- At least 1 - 2 years' of engineering experience
- Experience with Lean, Six Sigma, Kaizen, Kanban and 5S
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Responsibilities:
MUST HAVE:
1. 2 - 5 years of experience with robot setup, troubleshooting, and/or programming
2. Must have experience with with Fanuc (ie. SpotTool+ & V9.40 for the R30iB Plus robot controller) **if they have certification only experience, that is fine!
3. Must be willing to work onsite in Warsaw, IN 6 days/week
Schedule:
- 6 days on, 12 hour shifts. They will work overtime (time and a half)
- 6am-6pm Shift 1
- 6pm-6am- Shift 2
- (let us know which shift they are open to)
REQ OVERVIEW:
In this role, you will be supporting integration and commissioning efforts for a high-volume automotive manufacturer in northern Indiana. This role requires strong hands-on experience with Fanuc robotics, body applications, and special means build. The successful candidate will play a critical role in programming, touch-ups, commissioning support, and quality collaboration during pre-commissioning and launch phases. You will be responsible for the following:
- Develop, modify, and optimize Fanuc robot programs for body shop applications
- Perform robot teaching, touch-ups, and recovery in active production and pre-commissioning environments
- Configure robot frames, tools, payloads, and TCPs to meet process and quality requirements
- Support rapid program adjustments during special means build
- Support robot cell star-up, offline system work, and commissioning activities
- Troubleshoot robot alarms, motion issues, and sequence ladder logic under tight timelines
- Provide on-floor support during peak programming and commissioning periods
- Collaborate closely with Quality teams to resolve process issues
- Perform touch-ups and refinements to improve weld quality, part accuracy, and repeatability
- Support containment actions and fast-turn engineering changes during builds
- Coordinate with controls teams to validate I/O, interlocks, and basic handshaking
- Follow all safety procedures during programming and floor support
- Work safely in active manufacturing and commissioning environments
