Engineering Jobs in Michigan Flexible

This off-shift position is located within our Plant 10 Whitehall Casting Operation and will direct and motivate the manufacturing work force to produce products of high quality in the most efficient and safe manner and ensure that scheduling meets business and customer needs.

Responsibilities

• Supervises an effective team; includes planning and holding meetings, preparing and conducting performance appraisals as appropriate, managing staffing levels (including vacations, overtime, and leaves of absences), assisting with career development (motivates, coaches, and trains to acquire maximum quality, productivity, morale, and cooperation), approving time and attendance, and prioritizing and making work assignments.
• Provides effective feedback to employees, both positive and negative. Maintains appropriate documentation for all disciplinary actions taken.
• Provides training and mentoring to new Supervisors.
• Directs training and orientation of employees to ensure EHS rules are known and understood, to improve work performance, and acquaint employees with company policies and procedures.
• Maintains compliance with the collective bargaining agreement. Interfaces between management and union officials. Handles grievances.
• Ensures compliance with company policies, procedures, and practices.
• Schedules production and work teams.
• Reviews production and operating reports and resolves operations, manufacturing, and maintenance problems to ensure minimum costs and prevent operational delays.
• Promotes EHS and continuous improvement initiatives and culture.
• Implements ABS principles and initiatives and is the 6S program leader.
• Interacts with their employees and other departments in order to manage the flow of product through the operation.
• Maintains inventories, as applicable.
• Creates a total awareness among assigned employees of Company policies, regulations, procedures, and business initiatives. Enforces compliance and acts as a positive resource for information and questions.
• Responds to emergencies. Assists in troubleshooting production problems. Investigates and analyzes. Initiates or recommends actions to correct deviations and variables affecting schedules, costs, quality, and other factors.
• Prepares and analyzes documentation as required (i.e. production reports, log sheets, etc).
• Reviews work procedures for safety regulations and concerns.
• Plans, develops, and implements new methods and procedures designed to improve operations, minimize operating costs, and effect greater utilization of labor and materials.
• Confers with management, engineering, and quality control personnel to resolve maintenance problems and recommend measures to improve operations and conditions of machines and equipment.
• Performs audits for safety compliance; facilitates the 6S audit program.
• Assists with budget and goal setting of the operation.
• Complies with all EHS rules required for the work environment.
• Performs other duties, as assigned.

Job Roles

• Anticipation--asks questions to understand needs of multiple stakeholder groups; prepares operation for optimal execution; contributes as a strategic partner to planning process
• Reliability--leads by example; provides goal and measurement information to others; facilitates safe environment; works effectively within parameters of bargaining unit contract
• Optimizer--improves processes; executes production for maximal output; eliminates waste; increases quality; aligns activity and resources to desired outcomes; sets others up for success
• Facilitator--interacts with internal and external stakeholders at multiple levels; furnishes accurate instructions to others; acts as liaison between planning, management and execution elements of the business
• Responsiveness--deals effectively with the unforeseen; modifies labor schedule or other variables as needed based on circumstances
• Influence-- delegates effectively; capable of explaining the why behind a recommendation or directive; advocates for the business; maintains approachability; deals with conflict and change effectively
• Organization and structure--plans daily; coordinates to deliver on time; ensures efficiencies while balancing priorities of multiple projects and stakeholder groups; has contingency plans
• Observation--sees and hears through the lens of performance; enables accuracy in scheduling, quality in production and relationship with customers; makes recommendations and changes based on patterns and data; monitors for feedback and communicates findings; sees physical and personnel issues and acts on observations; has a finger on the pulse of what occurs within the plant
• Ownership--accepts accountability for the performance of others and the business; inspires ownership and improvement in others; invites measurement

Basic Qualifications:

• High School Diploma or GED from an accredited institution
• Minimum of 3 years leadership experience
• Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications

• Experience supervising in a manufacturing environment
• Experience with TPM, Synchronous Mfg., and Kaizen Concepts
• Must be able to communicate effectively with all levels of the organization, have good team building skills, excellent people skills; ability to handle multiple tasks, technically oriented
• Must be energetic and a self-starter, able to promote and implement change, have good PC skills, good telephone skills, strong organizational skills, and ability to promote a continuous improvement atmosphere

Cozzini Bros. is America's top knife rental and sharpening service, trusted by over 100,000 restaurants and commercial kitchens nationwide. We provide Cozzini-engineered knives and blades, exchanged every two weeks to keep kitchens sharp and efficient. Founded in 1905 as a family business in Chicago, Cozzini has evolved into the premier solution for enhancing the quality, consistency, and safety of commercial kitchens everywhere! We are driven by six core values: Safety, Service, Trust, Team, Continuous Improvement, and Integrity. These values are what give us the cutting edge in knife exchange.

• Work-Life Balance: Monday to Thursday, 10-hour shifts. Enjoy three-day weekends every week!
• Light Duty Deliveries: Operate a small sprinter/transit van; no CDL is required!
• Stable, reliable work: We are a recurring service vendor in kitchens, not a one-time delivery of goods.
• Competitive pay with incentives.
• Comprehensive benefits: Medical, dental, vision, life insurance, short and long-term disability, 401k with company match, six paid holidays, and paid vacation.
• Growth Opportunities: Be part of a growing company with opportunities to advance.
• Team Spirit: Join a supportive team environment where your contribution matters.

• Deliver and exchange cutlery to national and local restaurants, food service, and grocery customers.
• Deliver and exchange kitchen blades on can openers, deli slicers, food processors, and other food service equipment.
• Collect payment on invoices (cash, card, check, etc.)
• Use handheld devices for efficient tracking of all customer knife sets.
• Ensure safe and responsible operation of company vehicles.
• Build and maintain strong customer relationships.

• Reliable, dependable driving professionals who enjoy a fast-paced work environment.
• Previous route sales or delivery experience preferred.
• A strong sense of customer service with a customer-first attitude.
• Excellent communication skills to foster strong relationships.
• A safety-focused mindset for a physically active workday on the road.
• Ability to load, unload, lift, and carry light deliveries.
• Stable work history and a clean driving record.
• Overnight travel may be required for some routes.

Ready to Join Us?

Apply now and start your journey with Cozzini Bros. today.

Requirements

Physical Requirements and Responsibilities:

• Ability to lift and carry up to 50 lbs repeatedly
• Capability to reach, twist, turn, bend, and pull
• Proficiency in climbing and navigating various terrains
• Capacity to sit and stand for extended periods
• Dexterity to load and unload delivery items safely
• Endurance for physical tasks throughout a 10-hour shift
• Compliance with safe driving techniques for company vehicles
• Maintain physical stamina to manage light-duty deliveries consistently
• Adherence to safety protocols while executing physically demanding tasks
• Ability to handle and operate handheld devices for delivery tracking and inventory management

Note: The preceding job description has been designed to indicate the general nature and essential duties and responsibilities of employees within this classification. It may not contain a comprehensive inventory of all requirements for this role. Anyone who feels they would be a strong candidate is encouraged to apply.

Job Title– Electrical Engineer (DRE)

Location: Novi, Michigan, USA

Job-Type: Full-Time

Job Summary

The Electrical Distribution System (EDS) Components Design Responsible Engineer (DRE) is responsible for the design, development, validation, and release of electrical distribution system components for Scout Motors' all-electric pickup trucks and SUVs. The role involves managing component design from concept through production launch, collaborating with internal teams and suppliers, and ensuring compliance with safety regulations and engineering standards.

Key Responsibilities

1. Component Design and Development

• Design and develop all EDS components including:
• Shields
• Troughs
• Grommets
• Connectors and terminals
• Power distribution components
• Manage the full product lifecycle from concept design (clean-sheet development) through virtual development, testing, validation, and manufacturing launch.

2. Technical Specification & Sourcing Support

• Collaborate with Purchasing and Finance teams to develop detailed technical specifications.
• Support the quotation and sourcing process for EDS components.
• Work closely with suppliers to ensure components meet cost, timing, and quality targets.

3. Standards and Component Library Development

• Develop and maintain a standardized library of core EDS components aligned with global Volkswagen Group standards.
• Ensure components can be effectively integrated into vehicle wiring harness and power distribution systems.

4. Cross-Functional Collaboration

• Partner with VW Group module owners, internal engineering teams, and external suppliers to define and release EDS components.
• Foster a collaborative, high-performance engineering culture within the team.

5. Verification and Validation

• Conduct virtual simulations and physical testing for component verification.
• Participate in field testing and product validation activities to confirm performance and reliability.

6. Compliance and Safety

• Ensure all designs meet automotive safety standards and U.S. government regulatory requirements.
• Apply Six Sigma methodologies to improve product quality and solve engineering problems.

7. Manufacturing and Production Support

• Contribute to the design and development of production facilities for Scout electric vehicles.
• Support the transition of components from development to mass production launch.

8. Continuous Improvement

• Monitor consumer experience and feedback to identify potential system improvements.
• Proactively recommend enhancements to EDS systems and components.

Required Qualifications

Education

• Bachelor's or Master's degree in:
• Electrical Engineering
• Mechanical Engineering
• Systems Engineering
• Or a related engineering field.

Experience

• Minimum 5+ years of experience in:
• Electrical wire harness design
• Power distribution components design and release
• Automotive product development processes including design, testing, and production launch.

Technical Skills

• Strong expertise in:
• Wire harness component design
• Power distribution systems
• Six Sigma problem-solving methodology
• Familiarity with Computer-Aided Engineering (CAE) tools or relevant simulation technologies.

Job Title: ENOVIA / 3DEXPERIENCE PLM Engineer

Location: Dearborn, Michigan

Role Overview

We are looking for a PLM Engineer with strong experience in ENOVIA and the 3DEXPERIENCE (3DX) platform to support product lifecycle management and Bill of Materials (BOM) management activities. The ideal candidate will have a mechanical engineering background and experience managing product structures, configuration control, and engineering change processes within PLM environments.

This role will involve working closely with cross-functional teams including mechanical design, manufacturing, and supply chain to ensure accurate product data and efficient lifecycle management within the ENOVIA / 3DEXPERIENCE platform.

Key Responsibilities

• Manage and maintain Bill of Materials (BOM) and product structures within ENOVIA / 3DEXPERIENCE PLM systems.
• Ensure data accuracy and configuration control for mechanical components and assemblies.
• Support engineering change management processes including ECO, ECR, and ECN within the PLM environment.
• Collaborate with mechanical design, manufacturing, procurement, and quality teams to maintain product data integrity.
• Maintain part numbering, revision control, and configuration management within PLM systems.
• Support product lifecycle activities from concept and design through production and release.
• Ensure proper release and documentation of engineering drawings, CAD data, and technical specifications.
• Conduct BOM validation and audits to ensure system accuracy.
• Support integration and synchronization between PLM and ERP systems.

Required Qualifications

• Bachelor's degree in Mechanical Engineering or related engineering field.
• 2+ years of experience working with PLM systems, preferably ENOVIA and 3DEXPERIENCE (3DX).
• Strong understanding of BOM management, product structure, and configuration control.
• Experience supporting engineering change management processes (ECO/ECR/ECN).
• Familiarity with mechanical design documentation and CAD data management.
• Experience working with cross-functional engineering teams in product development environments.

Preferred Skills

• Experience with Dassault Systèmes 3DEXPERIENCE platform (ENOVIA).
• Knowledge of PLM–ERP integration (SAP, Oracle, etc.).
• Exposure to automotive or manufacturing product lifecycle environments.

Electrical Systems Engineer

Location: Madison Heights, Michigan

Salary Range: $125,000/year to $140,000/year; The salary may be negotiable based on experience, education, geographic location, and other factors.

Job Summary

This position leads the design and development of electrical control systems for vehicle applications, bridging customer requirements with technical solutions. The role combines electrical engineering, embedded software development, and systems integration expertise to deliver tested, production-ready control systems while maintaining direct customer engagement throughout the development lifecycle.

Job Functions:

• Capture and document customer system/hardware/software requirements
• Design and develop system wiring, including wiring schematics, conductor, connector and terminal selection
• Specify, design and develop control system electronics hardware, sensors, and actuators
• Design, develop, and verify software and control algorithms to meet requirements
• Perform data analysis and system control tuning/calibration
• Perform system testing and troubleshooting, ensuring a control system meets requirements
• Effectively interface with co-workers and customers in meetings

Minimum qualifications:

Bachelor's degree in electrical engineering, computer engineering, mechanical engineering, or computer science

• Minimum 5 years of post-graduate working experience in controls (automotive or military vehicle level preferred)
• Experience with at least one of the following software languages: MATLAB/Simulink/State flow, C, or C++
• Experience with CANbus, Serial, and Ethernet communications
• Ability to read, understand and create electrical schematics, and a good understanding of electrical and electronics basics
• Excellent verbal, written, and interpersonal skills, including the ability to write concise technical reports
• Initiative to work independently and handle several assignments simultaneously
• Able to manage time to ensure projects are completed by deadline
• Ability to independently absorb new technical assignments
• Must be willing to support limited travel
• US Citizen

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at .

Equal Opportunity Employer/Veterans/Disabled

Benefits offerings include but are not limited to:

• 401(k) with match
• Medical insurance
• Dental Insurance
• Vision assistance
• Paid Time Off

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

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