Harness Jobs in Usa

Job Title: Automotive Training and Development Consultant

Duration: 12 Months (Possibility of extension)

Location: Detroit, Michigan

Client is looking for an Automotive Training & Development Consultant located in the Detroit, Michigan area.

This position is responsible for analysis, research, development and delivery of manufacturing processes and technical launch training with on-site support to OEM vehicle assembly plants in the US, Canada and Mexico.

Roles and responsibilities include:

• Provide on-site training and support at each of the OEM vehicle assembly plants
• Instruct and consult plant process and repair personnel to improve their understanding of the vehicle and its highly intricate and interconnected systems and subsystems
• Present and demonstrate efficient and effective methods of diagnosing and correcting vehicle assembly, vehicle electrical systems and sub-system deficiencies
• Conduct root cause analysis to accurately identify the cause(s) of assembly and vehicle deficiencies
• Act as the training liaison between product/manufacturing engineering and general assembly by creating, designing and developing training materials related to vehicle assembly process, electrical harness manufacture, vehicle electrical system architectures and schematics
• Communicate and share lessons learned, developed training materials and information gathered in support of one plant project with remaining plants on a timely basis
• Analyze and identify future training needs for each of the OEM vehicle assembly plants
• Support and participate in plant launch meetings and provide training reports to Raytheon management, the OEM management and OEM launch teams
• Interface with engineering, component suppliers and vendors to validate and develop training materials for the manufacturing process, vehicle and vehicle electrical sub-systems prior to the Start of Regular Production (SORP)
• Research and compile manufacturing processes and technical information to be included in training course materials, such as, but not limited to engineering schematics, work in process service information, engineering documents, engineering math data and manufacturing reports

Required Skills:

• Minimum four years of experience as an automotive instructional designer, training developer, automotive instructor and/or manufacturing instructor
• Demonstrated knowledge of automotive systems from an advanced diagnostics perspective
• Demonstrated knowledge of OEM manufacturing tracking and reporting systems
• Demonstrated knowledge of OEM manufacturing dynamic vehicle testing systems
• Ability to develop professional training materials using pre-launch documents
• Ability to read and interpret a digital multimeter, OEM diagnostic scan tool and other automotive related diagnostic test equipment
• Ability to effectively conduct one-on-one and group presentations Ability to interpret early engineering level electrical schematic diagrams
• Ability to read OEM supplier electrical harness prints
• Strong working knowledge of Microsoft Office
• Extensive travel flexibility. Upward of 75% travel, depending upon launch
• Ability to work independently without supervision
• ASE certifications
• Demonstrated presentation skills delivering process and technical training
• Automotive technical assistance center experience

Required Education:

• Associate's degree or Certificate in Automotive Technology, engineering or other related discipline
• High school diploma with eight years of experience as an automotive instructional designer, training developer, automotive instructor and/or manufacturing instructor may be considered in lieu of an associate’s degree

JOB DESCRIPTION

We are seeking an experienced Cable & Harness Technician II and III to support aerospace manufacturing in Gilbert, AZ. This is a hands‑on, on‑site role focused on building complex space‑flight cable and wire harness assemblies in a high‑reliability environment.

What You’ll Do

• Build and assemble complex cable and wire harnesses from schematics, wiring diagrams, and wire lists
• Perform connectorization, point‑to‑point wiring, and heavy soldering of large wire bundles
• Work in an ESD/FOD‑controlled manufacturing environment
• Lay out and build harnesses using harness boards
• Mix and apply bonding, potting, and encapsulation materials
• Use soldering irons, heat guns, tweezers, and hand tools
• Maintain clean, organized workstations and follow aerospace workmanship standards

REQUIRED SKILLS AND EXPERIENCE

• High School Diploma or GED
• 2-6 years electrical assembly and wiring experience
• Experience with the following: (will help them get cert but must have knowledge)
• IPC 620 or IPC WHMA‑A‑620
• J‑STD
• Experience reading drawings and wiring diagrams

Our client is a forward-thinking consultancy at the forefront of technology and innovation, dedicated to empowering organizations to thrive in an ever-evolving digital landscape. Our clients mission is to help businesses harness the power of data and artificial intelligence to drive growth, enhance customer experiences, and optimize operations.

As they enter their next phase of expansion, they are seeking a GenAI Architect to drive cutting-edge AI/ML projects and turn complex data into actionable insights. You’ll thrive in a client-facing, project-based role, leading teams to design, build, and deploy enterprise-scale models across diverse use cases.

Responsibilities

• Lead project teams and act as the technical architect on AI/ML initiatives.
• Analyze large, complex datasets and translate them into impactful insights using ML and AI techniques.
• Build, implement, and deploy models into production environments, leveraging best practices across cloud and on-prem solutions.
• Collaborate with clients to define requirements, architect solutions, and present technical recommendations.
• Coach and mentor junior team members while driving project success.

Experience

• Proven track record building large-scale AI/ML solutions in enterprise or consulting environments.
• 5+ years of hands-on experience in statistical modelling, analytics, and machine learning.
• Advanced academic background (Master’s in Statistics, Math, Computer Science, or related; PhD is a strong plus).
• Expertise in a wide range of ML and AI techniques: regression models, cluster analysis, predictive modeling, neural networks, deep learning, decision trees, ensemble methods, and more.
• Strong programming skills in Python, TensorFlow, PyTorch, Hugging Face Transformers, and other ML frameworks for model development and experimentation.
• Deep understanding of NLP fundamentals, including tokenization, embeddings, language modeling, sequence labeling, and text generation.
• Experience with modern AI tooling: LangChain, vector databases, prompt engineering, and large-scale data embedding.
• Solid knowledge of relational (SQL) and non-relational (NoSQL) databases, and distributed systems like Hadoop and Spark.
• Ability to turn complex datasets into compelling, actionable insights using visualization tools (RShiny, Python, Tableau, Power BI, D3.js, etc.).
• Passion for mentoring and leading teams, fostering growth and knowledge sharing.
• Experience managing data workflows: wrangling, exploring, transforming, and analyzing diverse datasets.
• Familiarity with monitoring model performance, tuning, and ensuring high-quality data.
• Excellent communication skills with the ability to engage stakeholders at both technical and business levels.
• Strong curiosity and thought leadership, staying ahead of AI/ML trends and research.
• Experience deploying ML models into production on cloud platforms such as Google Cloud Platform, Azure, or AWS.

Please note, our client is unable to support visa transfers at this stage and can hire US citizens or Greencard holders.

If you feel you have the required skills, please get in touch with a copy of your CV! Or email me directly at

At Quotacom, we take the security and privacy of your personal data very seriously, any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at

Mechanical Designer

Location:

Longmont, CO or Newark, CA

Department:

Mechanical Engineering

Reports to:

Chris Wilke

About OptiGrid:

OptiGrid is an energy technology company accelerating fleet electrification with battery-integrated DC fast charging solutions. Our modular solution combines charging, energy storage, and grid management to eliminate costly infrastructure upgrades and cut deployment timelines from years to weeks. We're growing rapidly and need people who move quickly, think creatively, and find solutions to tough problems. If you want to make a real impact helping fleets go electric, we'd love to hear from you.

Position Overview:

As a Mechanical Designer, you will play a critical role in developing next-generation DC Fast Charging systems for electric vehicles. This position focuses on designing robust, efficient, and manufacturable mechanical solutions for high-power electronics and energy storage systems. The ideal candidate will combine expertise in electronics packaging, thermal management, and structural design with a strong focus on design documentation.

Key Responsibilities:

• Innovative Design:
• Design components for battery-integrated DC fast chargers and lab test equipment
• Fabricate and assemble prototype parts for design validation
• Documentation:
• Prepare detailed drawings of mechanical parts and electrical wiring harnesses
• Create and maintain Bills of Materials (BOM) for new and existing products
• Initiate and manage Engineering Change Orders (ECOs) for controlled documents, specifications, and work instructions
• Manufacturing Support:
• Resolve manufacturing/quality issues for parts and assemblies in production
• Design production test equipment and assembly aides
• Support production line setup

Qualifications:

• Associate’s degree in Mechanical Engineering
• 5+ years’ experience in electronics packaging design
• Extensive design experience using PTC Creo Parametric CAD software package
• Understanding of the applications of ASME Y14.5
• Demonstrated success in designing for sheet metal, extrusion & injection molding processes
• Experience with mechanical fabrication in a lab environment
• Excellent written and verbal communication skills

Preferred Skills:

• Bachelor’s degree in Mechanical Engineering
• 10+ years’ experience in electronics packaging
• Proficient with Creo Sheet Metal & Cabling Extension
• Experience with Creo Harness Manufacturing Extension "HMX"
• Proficient in the use of Arena and Windchill PLM
• Successfully implemented mechanical solutions for power electronic devices
• Experience in Electric Vehicle Supply Equipment product design

Why Join OpriGrid?

Make an Impact: Help accelerate fleet electrification and reduce carbon emissions by enabling faster, more affordable EV charging infrastructure deployment.

Work With Great People: Join a collaborative team that values diverse perspectives. We solve hard problems together and celebrate wins as a team.

Competitive Compensation & Benefits: Competitive salary and comprehensive benefits including health, dental, vision insurance, and PTO.

At OptiGrid, LLC, we offer fair and equal opportunities to all our candidates and team members regardless of race, color, religion, sex, pregnancy, sexual identity, national origin, citizenship, marital status, disability status, parental status, veteran status, or any other characteristics protected by law. OptiGrid, LLC believes in hiring individuals only based on their qualifications and experiences that meet our business requirements to fill the positions.

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• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

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• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Harness Engineer at Reliable Robotics, you will be a part of the system integration team and will report to the System Integration Engineering Manager. The system integration team is a small group of highly motivated engineers designing, integrating, testing, and flying advanced mechanical and electrical systems. The harness engineer is a very cross-functional role at the convergence of the avionics, mechanical, integration, and production teams, with significant hands-on work designing, building, integrating, and testing our harnesses, enclosures, and mounting hardware; expect to broaden your design and application experience.

Responsibilities

In your role as a Harness Engineer you will work with the avionics, mechanical, and integration teams to define the harnessing design, including routing, component selection, and manufacturing and integration processes. You'll be responsible for the detailed design of both flight and test harnesses, and you'll be working with the production technicians and A&Ps to get the harnesses built and installed on the aircraft. You'll have the opportunity to design, install, and test your hardware on a remotely operated aircraft, and you'll be an instrumental part of how our hardware teams come together on the airplane.

Basic Success Criteria

• BS in Mechanical Engineering, Electrical Engineering, or equivalent industry experience

• 2+ years experience in electrical harness design

• Ability to route harnessing (both in CAD and physically in the airplane) in a strategic manner

• Experience working with connectors, backshells, EMI shielding, and cable/wire protection methods

Preferred Criteria

• Experience defining routing and bulkhead requirements

• Experience performing design trades for and detail design of aerospace flight harnesses

• Experience with NX routing and Capital Harness Designer

• Experience working with safety critical hardware

• Experience working on certification-path aviation development projects

• Experience testing hardware to DO-160 requirements

• A love of spatial packaging

• Be logical, inquisitive, and eager to both teach and learn

We're a growing, motivated, fast-paced team of aviation professionals. We move quickly, and everyone wears multiple hats. We're looking for someone who is diligent and detail-oriented who can join our team and make an immediate impact.

The position will be located at our facility in Mountain View, California.

Must be willing to travel up to 10% of the time.

The estimated salary range for this position is $118,000 to $170,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $118K - $170K

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.

Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.

We are looking for an exceptional technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.

What you will do:

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• The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
  
• Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
  
• Deeply understand the Pinterest search product, and drive the vision for the team.
  
• Provide visibility for senior leadership into the team's global impact.
  
• Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
  
• Mentor and grow managers, leaders and engineers on the team.
  
• Build a culture of excellence and expertise.
  

What we are looking for:

• 
  
• Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
  
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
  
• A knack for product and impact on users of a consumer product.
  
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
  
• Bachelors degree in computer science or related technical field, or equivalent experience
  

In-Office Requirement Statement:

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• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-DM57

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:

At Jabil we strive to make ANYTHING POSSIBLE and EVERYTHING BETTER. We are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, manufacturing, and supply chain solutions. With over 50 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

To coordinate and perform tasks with other Manufacturing staff to fulfill customer requirements, such as mechanical assembly and/or wiring, while adhering to safety, quality, and customer specifications.

General Duties:

• Assembles finished units per customer specifications. Coordinates with teammates to organize tasks requiring multiple team members to accomplish.
• Utilizes manual and automated lifting devices while adhering to product safety specifications.
• Pull, crimp, install, and test wiring and wiring harnesses.
• Keeps inventory personnel abreast of spare parts inventory and locations for ease of order fulfillments.
• Performs part replacement on tools as needed and according to schedule.
• Resolves routine questions and problems, referring more complex issues to higher levels.
• Works under direct, close supervision, with output monitored frequently.
• Follows mostly routine, standardized procedures to accomplish assigned tasks.
• Selects from a variety of established procedures to perform assigned duties.
• Follow detailed written or verbal instructions, including visual aids.
• Ensure that assigned area is clean and organized per 5S standards.
• Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor.
• Comply and follow all procedures within the company security policy.
• May perform other duties and responsibilities as assigned.

Knowledge Requirements:

• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Ability to operate a personal computer including using a Windows based operating system and related software including training and knowledge of Jabil's software packages.
• Read and understand visual aid.
• Ability to read and comprehend simple instructions, short correspondence, and memos.
• Ability to add, subtract, multiply, and divide in all units of measure.
• Ability to interpret graphs and diagrams.
• Ideal candidates have 1+ years background in mechanical assemblies and electrical wiring

Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.