Engineering Design Process Definition Jobs in Usa

Mandatory Skills:

• Mechanical/Thermal Design Verification Testing
• Telecom & Networking product experience
• Excellent written and verbal communication skills

JD:

• Experience working as a Mechanical, or Validation Engineer for electromechanical products
• Degree in Mechanical with Experience 3-5 years
• Telecom equipment product testing knowledge/experience is an added advantage
• Good knowledge about telecom test standards GR, NEBS etc.
• Setting up prototypes in the lab for various MDVT tests (Thermocouple installation, vibration bench set up, wind tunnel operations etc)
• Good communication skills and experience with Microsoft products for generating reports and other functional aspects

Demonstrated knowledge and skills required to interact with other design disciplines, Hardware, Safety, EMC/EMI, SI and Manufacturing Engineers during the product testing

• Experience in NPD (New product design) - Concept Creation, Detail Design, Modeling & Drawing using CAD tool (Creo).
• Experience in handling large assemblies using simplified reps in Creo.
• Knowledge of Manufacturing process (Machined and Sheetmetal components).
• Knowledge of GD&T.
• Knowledge of PDM/PLM tools and Bill of Materials.
• Solution mindset.
• Giving solutions to new concept design.
• BOM preparation, manufacturing drawings & drawing standard knowledge.
• Procuring new parts.
• Should be able to attend client meetings.
• Able to travel on a necessary basis.
• Excellent in communication, presentation and writing skills.
• Knowledge in Semiconductor domain will be an added advantage.

Tool Requirements:

• CAD Tools: Creo (Working experience), AutoCAD.
• PLM/PDM Tools: Enovia, Windchill.
• Microsoft Tools: Knowledge in Visio, Publisher, and other MS Office tools.

About Us

We are building a large-scale, next-generation advanced manufacturing facility backed by global industry leaders. With significant investment and rapid growth underway, our team is scaling from startup to a high-volume, industry-leading operation. This is a rare opportunity to join early, help shape systems and standards from the ground up, and play a key role in delivering critical products to a global market.

Why Join Us

• Be part of a high-growth, well-capitalized manufacturing buildout with significant long-term upside
• Influence strategy, systems, and culture from the ground up
• Lead a highly visible function critical to product performance and customer success
• Work cross-functionally with engineering, quality, and operations leaders
• Competitive compensation, benefits, and strong career progression opportunities

Job Details

• Lead and scale reliability engineering programs, including lab operations, product qualification, and long-term performance validation
• Oversee full-scale laboratory operations, ensuring compliance with industry standards and supporting internal and customer testing needs
• Drive reliability strategy across multiple product lines, ensuring products meet long-term performance and durability requirements
• Partner cross-functionally with R&D, quality, and manufacturing teams to support NPI, validation, and ongoing testing initiatives
• Lead root cause analysis, reliability investigations, and continuous improvement efforts using structured methodologies (DOE, FMEA, Weibull, etc.)

Qualifications

• Bachelor’s degree in Engineering or related field with 10+ years of experience in manufacturing (e.g., energy, electronics, semiconductor, automotive)
• Proven leadership experience in reliability engineering, including lab operations and team management
• Strong expertise in reliability testing, statistical analysis, and problem-solving methodologies (e.g., DOE, FMEA, Weibull)

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.

Our Commitment to Inclusion:

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.

Our Commitment to Inclusion:

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