Operations engineer jobs in Detroit, MI

Responsibilities: Design and coordinate mechanical distribution systems that meet project specs and exceed expectations Lead layout reviews and provide mentorship to fellow engineers Manage and schedule VDC/BIM modelers to keep projects humming Review, edit, and generate project specifications with precision Create and vet production submittals to ensure alignment with design intent Support estimating by attending site walks, defining scope, and building BOM Qualifications: Degree in Mechanical Engineering. Licensed PE required. 3+ years minimum experience with a mechanical contracting company and/or Architectural/Engineering firm. Strong Skills and Proficient in Revit software or other compatible software. Proven experience with reviewing, editing, and writing project specifications. Experience with generating and/or reviewing production submittals against project specifications. Experience with walk throughs, defining scope and generating bill of materials. Why Join Us: ESOP (Employee Stock Ownership Plan) Competitive salary + performance-based bonuses Medical, dental, and vision insurance 401(k) contributions and ESOP vesting schedule Life Insurance Education Reimbursement Generous PTO and paid holidays

The engineering designer develops and designs plastic and metal components for bumper, fascia, grill, wheel liner and exterior trim components. Job Responsibilities: • Design and release exterior plastic components for bumper, fascia, grill and trim. •Utilize robust CAD modeling for part design, integration and execution in NX. •Design, develop and integrate components from development through to production release utilizing NX / Teamcenter • Proactively propose alternate solutions and work closely with the studio design and engineering teams to integrate and develop refined design solutions. • Complete parametric designs with quality to meet project timing Skills: • NX and Teamcenter proficiency • Creativity and strong verbal and written communication skills • Independent thinking and ability to problem solve in a fast-paced environment. • Strong knowledge of design techniques, tools, and principals involved in production plastic components Education/Experience: • Bachelor's degree in Engineering preferred or 5-7 years experience required.

ML / AI Engineer / Contract, W2 only / Hybrid, 3 days per week onsite in Ann Arbor, MI or Palo Alto, CA / 1 year, extendable. Simplify vehicle software development and increase developer agility by crafting tools and processes which enable novel uses of vehicles without compromising safety. To create new value-streams and create cutting edge products that utilize ML/AI to revolutionize the way our customers will interact with automobiles. Responsibilities: Designs, develops, improves, and maintains reusable software components, frameworks, and tools primarily written in Python. Leads development of ML features while working closely with counterparts. Be excited about working hands-on in a fast-paced environment on software closely connected to operating systems, compute hardware, sensors, and vehicles. Be ready to dive-in and learn across the technology stack and leverage experience to develop solutions with sound design principles, extensibility, and quality in mind. Required Skills: At least a Bachelors degree in engineering, computer science, or related. Experience with supervised+unsupervised learning methods. Experience incorporating models as part of complex build pipelines, and deploying models to hardware. Time signal processing experience as well as computer vision experience. 5+ years of professional software development experience. Experience writing scalable, reusable code in Python or similar. Experience writing Github Actions or similar (Jenkins, etc). Generalist attitude and willingness to learn continuously. Experience with writing unit tests, doing cross-validation, and robustness testing/evaluation of models. Ability to operate effectively and autonomously across multiple teams, and navigate technical ambiguity with only high-level direction. Preferred Skills: Masters or beyond related to AI/ML Experience with automotive software, ideally for ADAS. Experience with C/C++. Experience with developing cloud Infrastructure (AWS, GCP, Azure, etc). Experience deploying AI/ML solutions in automotive. - Pay for this position is based on market location and may vary depending on job-related knowledge, skills, and experience. As a contractor you may also be eligible for health benefits such as health, dental, and vision as well as access to a 401K plan. Applicants should apply via The Mice Groups Inc. website (******************* or through this careers site posting. We are an equal opportunity employer and value diversity at The Mice Groups Inc. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The Mice Groups Inc. values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates. Privacy Policy One of the basic principles The Mice Groups follows in designing and operating this website is that we ask for only the information we need to provide the service you've requested. The Mice Groups does not currently collect personal identifying information via its website except (i) to the extent that you provide this information in an online job application and (ii) to the extent that your web browser provides personal identifying information. The Mice Groups will use your personally identifying information solely for the purpose for which you submitted the information. The Mice Groups may, however, aggregate certain elements of your personal identifying information with the information of other users of our website to analyze the usefulness and popularity of various web pages on its website. The Mice Groups reserves the right to change this policy at any time by posting a new privacy policy at this location. Questions regarding this statement should be directed to *******************

Bachelor's degree in Electrical, Mechanical, or Computer Engineering, or equivalent, with at least 1 year of relevant experience. Design electrical wiring harnesses, including component selection (connectors, back shells, sleeving, boots, transitions, etc.). Define harness layouts across vehicles, including multi-branch routing. Design to environmental requirements such as temperature, shock, vibration. Ability to manage cost, schedule, and technical priorities. Willingness to work occasional overtime or weekends for critical tasks. Familiarity with Capital Harness System (CHS)/Mentor Graphics tools (Harness XC, Capital Logic, Capital Topology) is a plus. Experience with Pro-E Creo and NX desirable.

Job Title:- Project Engineer (May go Longer) Shift:- Monday - Friday 8am to 5pm Hybrid 3 days/week onsite (Tues, Wed, Thurs) Travel Requirements Creating the future of mobility will include developing instrument panels and consoles that contain a wide array of next generation displays and electronics. You will balance a list of vehicle and occupant performance requirements while engineering the highly styled instrument panel and console. These are the major systems that a customer sees and touches daily. The project engineer is responsible for project design / efficiency / innovation, scope management, cost control, quality, and performance reporting. Job Responsibilities: • Design, development, analysis, implementation, and validation of the complex instrument panel and console subsystems will be your day to day duties. • Perform engineering design evaluations and concept development across vehicle programs • Utilize engineering tools (DFMEA, ICDs, PFMEA) and leverage CAE groups including Safety Performance to successfully develop the best system solution • Assessment of design to manufacturing processes (e.g. injection molding, vibration welding, vacuum forming, foam-in-place, wrapping) • Package components, manage CAD development through supplier or designers and collaborate with other systems within the vehicle (Thermal, Electrical, Body, Chassis, Restraints, etc.). Ensure best practices are incorporated in the CAD and seeks support when best practice not met. Schedule and lead Peer Reviews • Work cross-functionally to support initial vehicle configuration work, realize cost optimization, deliver customer-driven requirements, and implement product and process improvements • Balance business imperatives, including but not limited to cost, part count, mass, complexity, timing, and content • Communicate information to and from internal and external customer organizations (e.g. Creative Design, Purchasing, Manufacturing, Quality, suppliers) and lead the product development team (PDT). Track and resolve open issues with support. • Review, support and apply benchmarking for design direction competitiveness. • Lead execution through change management process to support workstreams and initiatives described above. • Support in the development of Statement of Requirements (SOR) Creation and lead in the development of statements of work, key partner for DFMEA/DRBFM/FEA • Lead launch activities for your program and commodity with a quality and on time execution mindset. Skill: • Demonstrated strong sense of ownership and urgency. • Proven project management experience. • Demonstrated ability to be flexible / adaptable in exercising judgment in a changing environment and to manage competing priorities. • Advanced knowledge of engineering principles and theory. • Strong written and verbal communication skills. • Proven ability to learn business processes quickly and to work well with business partners at different levels within the organization. • Strong ability to assess risk and apply management principles engineering and business functions. • Ability to work independently and manage one's time. • Established knowledge of production processes, quality control, costs, and other techniques for maximizing the effective manufacture and distribution of goods. • Established knowledge of business and management principles involved in strategic planning, and production methods. • Established knowledge of computer software, such as MS Word, MS PowerPoint, MS Excel, MS Project, CAD tools (eg VisMockup, UniGraphics, or others), etc. Education/Experience: • Bachelor's degree in engineering or related technical field. • PMI or PMP certification preferred. • 8-10 years of experience preferred from other OEMs and/other Cockpit suppliers. Degree requirement: Bachelor's degree in engineering or related technical field. Years of experience: 8-10 years of experience preferred from other OEMs and/other Cockpit suppliers. Nice to have: • PMI or PMP certification preferred, not required • Understand change management Leadership Not afraid to ask questions and be able to do more/try to challenge things and understand how to improve things (improve quality, cost effective) Program management - understands this and how to get things done Design development experience in IP and floor consults Experience leading projects, curious about how to improve and make a process better Understand basic engineering requirements and criteria, creating DFMEA and understanding DFMEA

Hybrid: Detroit, MI (1 day/wk onsite) Long-term Contract (1-2+ years) (W2) $70.00 - 80.00/hour (D.O.E.) A major utility provider in Michigan is seeking a Lead Platform Engineer to join the Cloud Platform team focusing on enabling the organization to take a self-service approach to cloud usage. Your role would be to mentor engineers, build new features for the enterprise cloud, and plan for the future of automation and cloud enablement across the company. If you are seeking a mentorship role where you will own cloud enablement roadmaps and develop innovative cloud features, keep reading and apply! Responsibilities include (but are not limited to): Create and deploy new infrastructure and cloud features with the goal of enabling the organization to be more self-sufficient in cloud utilization. Plan sprints, develop IaC, security-as-code, and policy-as-code utilizing modern cloud technology, as well as support deployments. Lead, mentor, and develop skills in an enterprise cloud engineering team, helping to troubleshoot, teach, and guide other engineers. Lead demos and presentations of new products and/or features to high-level leaders and stakeholders. Collaborate with user groups to identify pressing needs then create plans and develop solutions accordingly. Minimum requirements: Innate leadership skills in mentoring engineering teams and communicating with high-level stakeholders. 7+ years of experience as a cloud engineer or similar infrastructure-intensive role in enterprise cloud environments. Significant experience in enterprise Azure environments managing cloud instances, deployments, and infrastructure changes. Strong expertise in utilizing Terraform to execute infrastructure, policy, and security changes. Familiarity with the following is preferred: Ansible, GitHub, Opa. What's in it for you…? Take on a role with high visibility with leadership and decision-makers in IT in a major enterprise. Opportunity to build and guide the cloud strategy from an early stage, shaping and molding strategy and features, overall affecting the entire company. Opportunity to mentor and guide less experienced engineers in this cloud journey. Ability to enroll in comprehensive health benefits and weekly paychecks.

At Mercor, we're building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you're an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we'd love to meet you. ## What to Expect As a Machine Learning Engineer, you'll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - **Schedule:** Remote and asynchronous-set your own hours - **Commitment:** ~20 hours/week - **Duration:** Through December 22nd, with potential extension into 2026 ## What You'll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You'll Bring - **Experience:** 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - **Required Skills:** Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - **Bonus:** Contributor to ML benchmarks - **Location:** MUST be based in the United States ## Compensation & Terms - **Rate:** $80-$120/hr, depending on region and experience - **Payments:** Weekly via Stripe Connect - **Engagement:** Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

MSR Technology Group DBA Infomatics has been an Inc 500/5000 corporation for the last 7 years in a row. We have an urgent need for Automotive Interior Design Engineer, and this is an Onsite role in Saline, MI. Please find the job details below. Title: Automotive Interior Design Engineer Location: Saline, MI Duration: Long Term Contract Pay rate: $53 per hour on W2 with benefits Position Description: DEVELOPMENT RESPONSIBILITY Coordinate the design and development of interior components (IP and Trim). Manage component development throughout the design cycle from concept stage through to production line off by using Toyota development methodologies and processes for vehicle development. Execute design utilizing Catia V5 independently and by leading Supplier Engineers or CAD modelers. Conduct packaging / layout studies. Create drawings & 3D models using TEMA specified design process Manage and continuously adjust priorities and processes to maintain project targets and deliverables - i.e. schedule, performance, cost, quality Visualization of issues, concerns, and gaps for responsible parts and design processes. Participate in improvement and reflection activities as required Ability to travel to suppliers, NA manufacturing plants, and Toyota Motor Corporation (Japan). Good communication and interpersonal skills to work effectively with suppliers, affiliates, and Toyota Motor Corporation (Japan) Ability to work 20% overtime. Project Management experience Requirements: QUALIFICATION GUIDELINES Bachelor's of Science Mechanical Engineering or equivalent engineering degree 8 years of engineering design experience with interior components 8 years Engineering experience with Catia V5. Must be able to effectively communicate in English If you have the above skills/experience, please share your resume in confidence to: Recruiter Name: Sravan Email: ************************** EOE

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant to our client, an autonomous vehicle company in Ann Arbor, MI. ** We are unable to work with third party companies or offer visa sponsorship for this role. Title: Senior ML/AI Engineer (contract) Pay Range: $90/hr - $120/hr (W-2) Job description: Seeking an experienced Senior ML/AI Engineer to work in a hands-on, fast-paced environment with software closely connected to operating systems, computer hardware, sensors, and vehicles. As a Senior ML/AI Engineer, you'll: ● Design, develop, improve, and maintain reusable software components, frameworks, and tools primarily written in Python, while leading the development of ML features ● Leads development of ML features while working closely with counterparts ● Apply your expertise in supervised and unsupervised learning methodologies ● Be ready to dive-in and learn across the technology stack and leverage experience to develop solutions with sound design principles, extensibility, and quality in mind Required skills: ● At least a Bachelor's degree in engineering, computer science, or related ● 5+ years of professional software development experience ● Experience with supervised+unsupervised learning methods ● Experience deploying ML solutions to hardware platforms ● Time signal processing experience as well as computer vision experience ● Experience writing scalable, reusable code in Python or similar ● Experience writing Github Actions or similar (Jenkins, etc.) ● Generalist attitude and willingness to learn continuously ● Experience with writing unit tests, doing cross-validation, and robustness testing/evaluation of models ● Ability to operate effectively and autonomously across multiple teams, and navigate technical ambiguity with only high-level direction Nice to haves: ● Master's or beyond related to AI/ML ● Experience with automotive software, ideally for ADAS ● Experience with C/C++ ● Experience with developing cloud Infrastructure (AWS, GCP, Azure, etc.)

Design Release Engineer, Powercell Components The Design Release Engineer for Internal combustion Cranktrain components is responsible for the design, development, and technical leadership in the creation, validation, and release of these components for company vehicles. This includes pistons, piston rings, piston pins, connecting rods and piston cooling jets. The responsibilities include design and release of system components and/or specifying hardware requirements needed to meet program objectives. The role involves driving the design through all phases of the product lifecycle, including design concept, sourcing support, engineering validation, and production release through PPAP (Production Part Approval Process). The role will include interaction and or leading activities with multiple teams including manufacturing, quality, design, validation testing, supplier direction and purchasing groups. Responsibilities include but no limited to: Design & Development: Lead the design of powercell components, ensuring alignment with vehicle and engine sub-system requirements. Develop and refine concepts for Powercell cranktrain systems based on functional, safety, reliability, and performance requirements. Support CAD modeling, FEA (Finite Element Analysis), and other design validation methods to ensure structural integrity and compliance with standards. Collaborate with other engineering teams (engine calibration, engine testing, thermal, packaging, quality, manufacturing) to integrate components into the overall engine system. Release & Program Management: Manage design release activities from early concept through production, including the timely completion of applicable milestones such as B-Sample, C-Sample, PX0, X0, X1, X2, and X3. Own the Engineering Bill of Materials (EBOM) and Change Notices (CNs) for structural components. Ensure all parts meet quality, cost, and timing requirements. Drive the Production Part Approval Process (PPAP) for lubrication systems components, ensuring compliance with all regulatory and customer specifications. Coordinate with cross-functional teams, including manufacturing, suppliers, and quality, to ensure the successful release and implementation of designs. Technical Guidance & Problem Solving: Provide technical leadership support during the development and production stages to resolve design issues, material selection challenges, manufacturing restrictions, and process-related problems. Lead DFMEA (Design Failure Mode and Effects Analysis) and other risk assessment activities to ensure design robustness and mitigate potential issues. Participate in the development of testing strategies for components, including engine dynamometer, vibration, fatigue and thermal testing. Provide leadership, guidance, and problem-solving support for related hardware and extended team of engineers. Cross-Functional Collaboration: Work closely with suppliers to ensure design feasibility, cost competitiveness, and manufacturability of structural components. Collaborate with validation teams to define and implement validation testing, ensuring structural components meet functional and performance metrics. Partner with vehicle integration teams to ensure proper fitment, safety, and integration of components into the overall vehicle platform. Strong support and collaboration for engine manufacturing plant especially for crankshaft machining and manufacturing processes. Documentation & Reporting: Develop and maintain engineering documentation, including design specifications, drawings, models, test plans, and validation reports. Ensure that all technical documentation is up-to-date and aligns with program timelines and PPAP requirements. Report on project status, timelines, and risk assessments to senior management and stakeholders. Report on component and system testing status and results for relevant components on a DVP&R. This includes tracking and analysis of tested engines to evaluate wear and function changes. Requirements: **Update on years of experience - now 1-3 years. Experience can include some internships, Formula SAE, and race team support. Requirements: A minimum of a Bachelor of Science degree in Mechanical Engineering from an ABET accredited school or equivalent. A minimum of 1-3 years of relevant experience working with engine components and systems design. Experience must be related to crankshafts, pistons, piston rings, connecting rods, lubrication systems, oil consumption. Experience can include some internships, Formula SAE, and race team support. Understanding of Mechanics of Materials, NVH, Sealing systems, structural analysis, vibration, fastener basics, CAE Analysis, and GD&T. Experience in selecting materials and manufacturing methods for mechanical components. Ability to author system/component level requirements Strong interpersonal communication, team/leadership skills/experience Strong oral and written communication skills Strong project management skills/experience Demonstrated understanding of structural analysis and failure modes of complex mechanical systems Preferred Requirements: Advanced degree in Mechanical Engineering with emphasis engine systems engineering or similar. Working experience in creation and execution of validation plans Critical character traits to ensure success: Action Oriented, Dealing with Ambiguity, Customer Focus, Problem Solving. Demonstrated leadership as a technical expert for Internal Combustion Engines cranktrain or Powercell systems. Working experience with 3D cad programs, preferably Siemens NX Familiarity with Company engine development processes. Additional Must haves: An interest in designing and development of internal combustion engines Support testing on site for evaluation with reporting of results to broader team. Minimum of BSME preferred but we can consider BSEE, BSCE with relevant experience. Location: CTC - Auburn Hills Suite E2002 or E3001 - Hybrid with >80% onsite Driving required - Yes. Testing of vehicles will be required. Amount of travel, if so where: 10% travel including USA, Mexico, Canada, India, France

The Engine Ignition System Design & Release Engineer will be responsible for the Core Engine ignition components on one or more major engine families, including components such as coils, spark plugs, and other related components. This is a key position within our Core Engine Engineering team and the activities include developing components, managing and directing changes, facilitating continuous improvement in system performance and fuel economy, and carrying out engineering root cause analyses and corrective actions when necessary. The Engineer will work closely with designers and CAE groups to optimize designs and will use the DFMEA to identify and rate risks and build a robust DVP&R to ensure testing is completed to reach reliability goals. The candidate will initiate source packages, hold APQP meetings during the development phase, order prototype parts, carry out and monitor DV and PV testing, and participate in post-test reviews including failure analysis. The engineer is involved in all aspects of product launch including component, system, engine, and vehicle testing, manufacturing reviews, development of service procedures, production launch, change management, and continuous improvement. Location(s) 1000 Chrysler Drive, Auburn Hills, Michigan 48326, United States Requirements Basic Qualifications: Bachelor's degree in Mechanical or Electrical Engineering or related degree field 5 years of relevant engine component design and release experience Knowledge of design tools and practices, e.g. CAD, CAE, CFD, FEA, GD&T is required. Excellent communication and presentation skills as well as experience with basic PC software (e.g. MS Word, Excel, Powerpoint and Project). Highly self motivated, self-directed, have the ability to manage multiple complex projects, and have a positive attitude Good working knowledge of internal combustion engine operations Experience using electrical measurement tools such as Oscilloscope Preferred Qualifications: Master's degree in Mechanical or Electrical Engineering Previous experience in development of automotive ignition systems Familiarity with ignition coils and ignition system designs Familiarity with microcontroller design desirable Six Sigma Blackbelt or Greenbelt certification Experience in testing electrical systems - ignition systems Employment Type Full-time Stellantis At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

Job Title: Vehicle Dynamics / ADAMS Simulation Engineer Job Type: Full-Time We are seeking a skilled Vehicle Dynamics and Simulation Engineer with expertise in MSC ADAMS/Car for full-vehicle modeling, load generation, and ride & handling analysis. The ideal candidate will have hands-on experience in Time/Frequency domain analysis, NVH load cascades, and correlation of simulation results with test data. Key Responsibilities: Generate Time/Frequency loads and forces using high-fidelity full-vehicle ADAMS/Car models, including F-Tire and digitized road inputs. Perform NVH load cascade analyses using full-vehicle ADAMS/Car models with RLDA (Road Load Data Acquisition) measured spindle inputs. Develop and maintain system-level mechanism simulation models for various vehicle subsystems. Conduct Ride and Handling (R&H) analysis using MSC ADAMS/Car, interpret results, and provide actionable insights to the design team. Perform static and dynamic load generation in ADAMS/Car and ADAMS/View environments. Develop automation macros and scripts to enable fast, repeatable, and error-free simulation workflows. Collaborate with the design and test teams to ensure accurate and robust full-vehicle ADAMS/Car model creation. Correlate simulation results with physical vehicle or subsystem test data to improve model fidelity and accuracy. Required Skills & Qualifications: Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, or related field. 3-8 years of hands-on experience with MSC ADAMS/Car and ADAMS/View. Strong knowledge of vehicle dynamics, multibody simulation (MBS), and NVH load analysis. Experience with F-Tire modeling, digitized road data, and RLDA inputs. Proficiency in macro scripting (ADAMS commands, Python, or similar) for process automation. Understanding of ride & handling fundamentals, static/dynamic load paths, and system-level correlation. Excellent analytical, problem-solving, and teamwork skills. Preferred Qualifications: Experience with automotive load development and virtual vehicle validation. Familiarity with Durability, NVH, and Test Correlation processes. Prior exposure to OEM vehicle dynamics or CAE simulation teams (e.g., GM, Ford, Stellantis, etc.).

Keywords: MBD, ADAMS CAR, vRLD - MBD VRLDA (Virtual road load data) Engineer -Generate Time/Frequency loads/forces using high-fidelity full-vehicle ADAMS/Car model, including F-tire and digitized roads. -Perform NVH loads cascade, using high-fidelity full-vehicle ADAMS/Car model, with RLDA measured spindle inputs. - Develop System level mechanism simulation models - Perform Ride and Handling analysis using MSC ADAMS Car and interpret the results. - Should be able to perform static/dynamic load generation analysis in ADAMS/Car and ADAMS/View environment. - Should be able to create macros to generate fast and error free output. - Collaborate closely with the design team to create robust full vehicle ADAMS/car model. - Correlate simulation results with measurements of the vehicle or subsystems.

The ideal candidate will be responsible for assisting the project manager and project team with project documentation and control, job cost accounting, scheduling, and construction supervision efforts. In order to be successful, this candidate should feel comfortable taking on many tasks that require various skills, and appropriately prioritizing those tasks' completion. Responsibilities Read and know the contract documents and specifications thoroughly, noting errors, omissions, conflicts, or need for additional information. Assist superintendent to ensure the quality of installation is in accordance with the project's plans and specifications and BCG Policies and Procedures. Prepare preparatory checklist for all definable features of work. Assist Superintendent with the RFI Process, which may include the following; communication with subcontractor, superintendent, owner, architect including distribution of RFI's and creation and maintenance of RFI Log. Assist Superintendent in timely resolution of engineering conflicts. Assist superintendent, if necessary, with maintenance and distribution of project schedule. Assist PM in procurement/buy-out process, as requested, including writing and/or reviewing detailed project scopes. Create, maintain and distribute control logs for contract documents, i.e. plans, specifications, bulletins, CCD's, PR's, etc. Coordinate the material procurement process including creation and maintenance of MSR (Material Status Report) Log. Maintain constant communication with superintendent and project manager relative to coordination of materials fabrication and arrival on site. Develop, administer, monitor, and maintain a detailed Shop Drawing and Material Status report which is saved to the "Q" drive as changes occur and includes receipt/distribution of submittals, shop drawings, samples, calculations, etc. ROJ dates shall be developed in conjunction with Superintendent and project schedule. Coordinate material/subcontractor deliveries in accordance with project schedule, and notify Project Manger of any issues. Assist PM in documenting project meetings through meeting minute format - provide distribution to all parties Assist PM with cost control functions, i.e. pricing of additional work through bulletins, direct owner requests, etc. Request, receive, log in and validate subcontractor quotes, submit to PM for review prior to the assembly of change request documentation. Participate in developing and maintaining a fair and just working relationship with with the Owner's, Architect, Engineer, Consultants, AHJ, etc. which will result in both project specific success and long-term benefit. Administer close-out procedure from start to finish with assistance from project manager, project coordinator and superintendent. Process includes close-out log, assembling and packaging of maintenance manuals, as-built drawings, warranties, and other documents in fashion acceptable to owner/architect, as well as coordination with subcontractor and superintendent for commissioning/training as required. Responsible for tracking of attic stock materials through subcontractor and superintendent. Assist superintendent with the Punch List process as required. Communicate non-compliant subcontractors with project manager and accounting in order to withhold money until subcontractor is compliant. Perform additional assignments per Project Manager's direction. Maintain professionalism during work hours in support of Braun Construction Group's image. Actively market Braun Construction Group services to potential clients. Communicate potential leads to business development manager and project executive. Provide subcontractor evaluations to Vice President Operations and Estimating. Qualifications Bachelor's degree in Construction Management, Mechanical or Industrial Engineering or equivalent experience preferred 1 - 3 years' of experience as a project coordinator, project engineer, or project manager Strong experience in AutoCad and Microsoft Office Suite Familiarity with rules, regulations, best practices and performance standards

This role strengthens the Operational Technology (OT) environment by improving data acquisition, system integration, and shop-floor processes across global manufacturing sites. It brings IT and cybersecurity best practices into OT environments while supporting Industrial IoT, automation, analytics, and AI-driven initiatives. KEY RESPONSIBILITIES Technical Leadership Lead OT/IT integration projects that connect plant-floor equipment with business systems to improve operational performance. Collaborate with IT, cybersecurity, engineering, maintenance, and operations teams to meet project goals. Stay current on industrial automation, IIoT, analytics, and OT cybersecurity trends. System Integration & Data Enablement Build and manage data collection frameworks for real-time monitoring and historical analysis. Support predictive maintenance, process optimization, and AI-driven insights. Maintain documentation for system architecture, configurations, and operational procedures. Information Technology & Cybersecurity Apply enterprise IT best practices across OT environments (asset management, change control, disaster recovery, etc.). Partner with cybersecurity teams on risk assessments, security controls, and incident response. Communication & Training Serve as the liaison between vendors, stakeholders, and technical teams. Deliver training to support technology adoption and effective system usage. Perform other duties as assigned. QUALIFICATIONS Bachelor's degree in Engineering, Information Systems, Industrial Technology, or related field preferred. 5+ years of technical leadership in manufacturing, industrial automation, or IT/OT integration. 10+ years in IT, OT, and/or control systems. Experience integrating OT systems with ERP/MES-Plex and Plex A&O (Mach2) strongly preferred. TRAVEL Up to 50% travel to North American plants, including Mexico. KNOWLEDGE & SKILLS Strong communication, stakeholder management, and organizational abilities. Expertise in IIoT platforms; PTC Kepware highly preferred. Understanding of SCADA, PLCs, sensors, industrial protocols, and shop-floor technologies. Experience with Industry 4.0, CMMS/EAM, predictive maintenance, and equipment performance monitoring. Familiarity with Zero Trust frameworks and cybersecurity tools (firewalls, NAC, SIEM). Experience with visualization tools such as Power BI or Ignition.

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. The Underbody Zone Lead Engineer is responsible for designing and developing new vehicles which meet future regulatory requirements and customer and competitive targets. This group is responsible for vehicle architecture, content packaging and integration, and initial systems and component engineering design. In addition, the team resolves packaging and adaptation issues as the vehicle timeline advances toward production. The engineer's responsibilities will include, but are not limited to, establishing physical and functional integration of vehicle systems and components during the program planning phase (concept to program approval), translating strategic and functional objectives into technical requirements, creating and analyzing alternative design concepts, packaging and integrating systems and components, and benchmarking of competitive vehicles. The candidate will achieve these tasks by leading an extended cross functional team to balance all requirements to achieve the most optimal solution. Presentation of design concepts to higher levels of management will be required. Basic Qualifications: Bachelor of Science degree in Mechanical or Electrical Engineering or equivalent from an ABET accredited or equivalent program 3+ years of vehicle engineering experience in one or more of the following areas: Body-in-White, Powertrain Adaptations, Engine Systems (Cooling, Fuel, Exhaust), or Chassis Systems Expertise in TeamCenter, NX CAD Software & Vis Mockup with demonstrated skills to: Develop new corporate preproduction and manage production CAD data structures. Position and manipulate models, cut sections, analyze existing designs. Create and analyze alternative designs and integrate systems and components. Create specialized CAD sessions to support high level and detailed management reviews. Excellent communication skills to lead others to coordinate and resolve issues across all client regions. Able to effectively operate independently and in a cross-functional team environment. Strong Microsoft Office and Google Suite skills Results driven Preferred Qualifications: Master of Science degree in Mechanical or Electrical Engineering from an ABET accredited Broad vehicle knowledge Ability to integrate stakeholder requirements into final vehicle design Excellent communication skills Excellent relationship building skills Ability to productively manage change Ability to present ideas and concepts successfully to all levels of management Excellent MS Office skills (Word, PowerPoint, Excel, Outlook ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Deploy and secure an on-premises AI infrastructure for hosting large language models (LLMs) Install, configure, and maintain AI model-serving frameworks on internal GPU-enabled servers Develop and maintain robust, scalable APIs to ensure internal access to AI capabilities and seamless integration with enterprise applications and data systems Collaborate on the implementation of a Retrieval-Augmented Generation (RAG) pipeline and AI agents to automate business workflows Requirements: Bachelor's degree or higher in computer science, electrical/computer engineering or related field Minimum 4 years of experience in systems engineering, DevOps, or MLOps Role Proficiency in Linux Server Administration Strong working knowledge of GPU-accelerated compute environments Proficiency in Python for scripting, automation, and building AI/ML data pipelines Experience deploying LLMs or generative AI models in production environments Working knowledge of RAG architectures, including vector databases, embedding models, and retrieval strategies.

We are seeking a talented and motivated Mechanical Design Engineer to join our engineering team. The ideal candidate will be able to meet project objectives independently, or by leading a small team to complete all aspects of our custom measurement machinery design, from concept through fabrication and test. This is an opportunity to be part of a talented team responsible for solving the most complex design problems associated with our measurement systems. Our Engineer-to-Order business model requires fast-paced, creative solutions. Our projects are typically custom and always challenging. A typical product lifecycle starts with the sales order and ends roughly 32 weeks later with the shipment of the product. The Mechanical Design Engineer is first in line to scope and conceptualize the product and will have several groups following his/her lead in rapid succession: electrical engineering, software engineering, mechanical build, electrical build, controls engineering, product quality, and field installation. Our ideal candidate will be proficient in 3D solid design using SolidWorks, MS Office, GD&T, Product Data Management tools, general automation design, and have at least two-years of experience in a design or project engineering role. Knowledge of balancing, modal analysis, vibration analysis, rotor dynamics, robotics, machining processes-including welding, milling, drilling, and grinding are desired. Essential Duties and Responsibilities: Evaluate proposals and specifications to determine engineering feasibility of various design concepts and proposed applications. Produce engineered designs and drawings for various machine components, sub-assemblies, systems and processes for balance machines, dimensional gages, welding or machining applications, material handling & transfer systems and other measurement and test systems. Prepare and release design documentation using SolidWorks. Provide supporting engineering analysis, including structural and modal FEA, tolerance stackup, vibration analysis, and failure analysis. Collaborate with sales and project management as well as other engineering and manufacturing disciplines regarding design requirements and specifications. Support and/or coordinate machine assembly, test, installation, and repair activities to ensure products and systems conform to engineering design and customer specifications. Coordination with suppliers to make material and finish selections and select critical components. Evaluate field installations and recommend solutions for new business as well as warranty issues. Required Qualifications/Requirements: BS or MS in Mechanical Engineering 2+ years of experience in machine design Strong technical communication skills Proficiency using Microsoft Word and Excel as communication and analysis tools Excellent analytical skill bringing engineering principles to bear on all facets of machine design - from concept through delivery and into production Ability to devise and perform tests to demonstrate design principles A working knowledge of GD&T methods Automation, Machine Tool, Automotive, Aerospace, Medical Device or other Industrial experience preferred About Balance Technology, Inc.: BTI engineers and manufactures precision measurement and testing equipment, specializing in machines engineered to meet the customer's exact requirements and specifications. BTI's unique ability to combine technologies enables our clients to reduce capital expenditures, increase product quality, and minimize floor space requirements. No matter your location, our international presence enables us to bring precision, efficiency, and reliability to your manufacturing floor. Headquartered near Ann Arbor, Michigan (USA), Balance Technology Inc. (BTI) is a thriving precision measurement and testing company with a strong domestic and international presence. Our remote diagnostic capabilities and global reach enable us to provide 24/7 service to clients worldwide. Since 1968, our company has set the standard in industrial precision measurement and testing. We specialize in custom-built, combination machines designed to meet your exact specifications, including: Combination Equipment, Balancers, Dimensional Gages, Surface Measurement Systems, NVH & Specialized Testers, Crack Detection Systems, Resonant Frequency Measurement Systems, BTI - Rebuilds & Retrofits, Competitor - Rebuilds & Retrofits, PC Upgrades and Other Equipment. With more than 13,000 systems shipped worldwide, our team approach to customer satisfaction and technical innovations has forged our reputation as an industry leader and trusted partner. Our experienced engineering team - comprised of more than 50 specialty engineers - ensures unsurpassed quality and access to the expert knowledge you need.

We are looking for an experienced AI Infrastructure & MLOps Engineer to design, deploy, and maintain our on-premises AI platform built for hosting and scaling large language models (LLMs). In this role, you will work closely with cross-functional teams to build secure, production-ready AI systems, integrate enterprise data, and help deliver advanced automation capabilities across the organization. Key Responsibilities Deploy and secure on-premises AI infrastructure for hosting and serving LLMs Install, configure, and maintain GPU-enabled servers and AI model-serving frameworks Develop and maintain scalable internal APIs that provide access to AI capabilities Build and support AI/ML data pipelines and automation scripts using Python Collaborate on designing and implementing a Retrieval-Augmented Generation (RAG) pipeline and AI agents to automate business workflows Ensure system reliability, performance, monitoring, and continuous improvements Requirements Bachelor's degree in Computer Science, Electrical/Computer Engineering, or related field 4+ years of Systems Engineering, DevOps, or MLOps experience Strong expertise in Linux server administration Hands-on experience with GPU-accelerated compute environments Proficiency in Python for automation, orchestration, and ML workflows Experience deploying LLMs or generative AI models in production Working knowledge of vector databases, embeddings, and RAG architectures