Engineering Jobs in Cotati Sonoma County Ca Remote

Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone's best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview

You will use your leadership and organizational skills to support the access management specialist's that ensure client access control systems and processes. This role will also utilize their badging and security experience to coordinate and/or support cross-functional programs and projects related to access management operations, in line with client requirements.

Key Responsibilities:

• Lead day-to-day global badge operations management
• Hands-on operational involvement including processing Jira tickets, supporting new employee onboarding, and driving continuous program improvements
• Implement secure access zones and aide in the development of physical access infrastructure that supports identity management and RBAC/ABAC policies
• Serve as key POC for access-related escalations
• Build strong partnerships with client, vendors
• Monitor access management metrics and performance
• Provide guidance and counseling support to internal team members
• Oversee performance several Access Management Specialists

Required Qualifications:

• Minimum of 3-5 years of experience in Security Badging, Access Control fields.
• 2-3 Years of Leadership experience overseeing operations
• Proven experience with security access control systems (e.g., CCure, Kastle, Brivo, and property management access platforms)
• Strong background in access management within security operations
• Experience with Genetec is highly preferred
• Experience and knowledge in hardware functionality and locking mechanisms is a huge plus

Work Schedule:

• Primary schedule: Monday through Friday 8am to 5pm
• Flexibility to provide support on weekends as business needs arise

Compensation

Estimated Pay Range: 80,000-95,000/yr

Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.

Our Commitment to Diversity & Inclusion

At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success.

Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.

We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

Data Scientist Everfit | Hybrid, San Francisco Bay Area

About Everfit

Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights.

About the Role

We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform.

What You'll Do

Product Analytics & User Insights

• Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success.
• Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization.
• Identify opportunities to improve onboarding, engagement, and coach–client interactions.

Experimentation & A/B Testing

• Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.

Strategic Impact & Roadmapping

• Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes.
• Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions.
• Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams.

Technical Foundations

• Partner with data engineering to improve pipelines and instrumentation.
• Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.

Marketing Analytics & Optimization

• Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion.
• Partner with marketing and growth teams to design and evaluate campaign experiments

What We're Looking For

• 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company
• Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets
• Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar)
• Understanding of SaaS metrics and cohort analysis
• Experience with translating numerical findings into clear insights for non-technical team members
• Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world)

Bonus Points:

• Experience with Python or R for statistical analysis
• Experience in a PLG (Product-Led Growth) environment
• Experience working at a company during a hypergrowth phase
• Background in fitness, health, wellness, or coaching industries

You'll thrive here if you:

• Are naturally curious and love asking \"why\" until you find the answer
• Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling
• Enjoy collaborating with global teams and making complex topics understandable
• Are comfortable with ambiguity and can structure your own work
• Care deeply about the impact your insights have on real coaches and their clients

Why Join Everfit

• Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world
• Work with autonomy and ownership on high-impact projects
• Join a collaborative, global team with experience from leading tech and fitness companies
• Enjoy competitive salary, equity, and performance bonuses
• Build something meaningful that helps people live better, healthier lives

Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status.

Ready to dive into data in the fitness intelligence space? We'd love to hear from you.

Summary

The Manufacturing Engineering Technician III role involves a blend of responsibilities across manufacturing engineering, engineering development, new product introduction (NPI), and tooling design. The successful candidate will be hands-on in the early stages of building new engineering product prototypes, as well as Low Rate Initial Production (LRIP) and Maintenance, Repair, and Overhaul (MRO) builds. This individual support Design for Excellence (DFX), and design and implement tooling and fixtures with the aid of drafting resources. They will ensure that learnings from early product builds are integrated into a production-ready package. This role supports the key step in transitioning new product introductions into mature full-rate production stages. Additionally, the candidate must possess excellent collaboration skills to ensure continuous feedback with various engineering teams and production staff.

Position Responsibilities

• Hands-on building and assembly of early units of new products with engineering support.
• Conduct mechanical, electrical, and composite fabrication, troubleshooting, repair, and testing of integrated systems.
• Ensure a smooth transition from product development to manufacturing, focusing on quality, reliability and cost
• Work effectively with engineering teams and production staff to provide and receive continuous, regular feedback.
• Provide rapid prototyping fabrication and assembly services to build prototype product hardware.
• Design, develop, and implement tooling, including assembly fixtures, fabrication fixtures, and molds.
• Support DFX, cost, and reliability analysis initiatives in collaboration with design engineering teams.
• Develop and maintain manufacturing processes, including creating and updating work instructions, assembly procedures, and supporting documentation.
• Lead efforts in lean manufacturing and Six Sigma methodology to achieve continuous improvement in productivity, quality, and lead times.
• Incorporate lessons learned from NPI and early product builds into efficient production processes.
• Implement ergonomic design considerations to ensure safe, effective, and productive tool usage.
• Maintain shop equipment and tools in a safe, clean, and organized environment for development and production activities.
• Track and report Key Performance Indicators (KPIs), including build linearity and transition rates from NPI to full production.
• Work on problems of diverse scope requiring analysis of identifiable factors.

Basic Qualifications (Required Skills & Experience)

• High School diploma or GED equivalent and/or equivalent certificate from a technical school
• 4-6 years of experience in Manufacturing, Mechanical, Electrical, or Test Engineering, with experience in Aerospace, Automotive, or Commercial industries.
• Experience in Lean Manufacturing principles and Six Sigma methodology.
• Proficiency with electro-mechanical manufacturing and procedures
• Exposure to engineering drawings and Bill of Materials.
• Proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) and CAD software (SolidWorks preferred).
• Occasional travel required (up to 10%).

Other Qualifications & Desired Competencies

• Experience in sheet metal fabrication, plastics, composite layups, PCB assembly, mechanical assembly, calibration, and testing processes.
• Strong problem-solving ability, root cause analysis skills, and ability to work independently.
• High levels of initiative, ownership, and responsibility for work products.
• Commitment to continuous learning and improvement.
• Effective time management, analytical, interpersonal, and communication skills.
• Teamwork and collaboration-oriented mindset.

Compensation:

$50-70/hourly

Required Skills & Experience

• Bachelor's degree in Mechanical, Electrical or similar field is required or equivalent combination of education, training, and experience

• Minimum of 8 - 12 years of experience in Manufacturing, Mechanical, Electrical, Test Engineering or similar field in Aerospace, Automotive, or Commercial industries

• Experienced in Lean Manufacturing and Six Sigma Methodology is required

• Experienced with electro-mechanical manufacturing, drawings, procedures and Bill of Materials is required

• Experienced using Microsoft Office (Word, Excel, Outlook, Power Point, Access, Project), MiniTab, Oracle, Agile, and CAD programs (SolidWorks is preferred)

• Occasional travel to supplier sites (up to 30%)

Nice to Have Skills & Experience

• Specific experience with sheet metal fabrication, plastics, composite layups, printed circuit board assembly, mechanical assembly, calibration and testing processes is desired

• Organization/planning, communication (oral and written), time management, conflict management, ability to manage stress, deadlines and work independently

Job Description

An employer sitting in Petaluma, CA is looking to hire a Senior Manufacturing Engineer. This person will be responsible for designing and operating the manufacturing systems for their Uncrewed Air Vehicles. In this role, the Manufacturing Engineer chooses the best technologies and processes for manufacturing, planning and designing the factory as well as managing the maintenance & continuous improvement of the manufacturing process. One has extensive knowledge in manufacturing production processes, specifically creating and monitoring automated systems and new technology development. One defines, maintains, and supports manufacturing processes utilized in the manufacture of Small Unmanned Air Vehicles. This will be a 6 month contract with potential to extend, paying between $50-70/hour) depending on years of experience.

Position Responsibilities

• Creates and manages equipment specifications, equipment documentation for development, qualification and support of assembly and test equipment for production

• Implements Lean Manufacturing principles and applies Six Sigma methodology to achieve continuous improvement in productivity, quality, and lead time

• Generates Value Stream Maps to reduce cycle time, waste, variation, and low production yields

• Creates Manufacturing Strategies and capacity models for new and current products, including estimation and maintenance of capital requisitions

• Generates new and reviews existing work instructions, assembly procedures and supporting documentation controlling the manufacturing process

• Cost estimating of new tooling and fixtures required to support production floor. Leads Make/Buy analysis on assemblies with cross-functional team

• Performs Design for Manufacturing, cost, and reliability analysis on new products with the design engineering team

• Works with suppliers and contract manufacturers to ensure receipt of conforming parts and assemblies

• Determines methods and procedures on new assignments and may coordinate the activities of other personnel (Team Lead)

Job Description

A leading defense contractor in Petaluma, CA is seeking a Manufacturing Engineer II to design, support, and continuously improve manufacturing systems for Small Unmanned Air Vehicle (UAV) products. This role focuses on production process development, factory planning, automation, and Lean manufacturing initiatives while supporting assembly and test operations.

The Manufacturing Engineer II partners closely with design engineering, suppliers, and production teams to ensure products are manufacturable, cost‑effective, and scalable for production.

Pay Rate: $62-77/hour (depending on experience)

Responsibilities

• Design, develop, and support manufacturing systems for UAV assembly and test operations
• Create equipment specifications and documentation for development, qualification, and production support
• Implement Lean Manufacturing and Six Sigma methodologies to improve quality, productivity, and lead time
• Develop Value Stream Maps to reduce waste, cycle time, and variation
• Support manufacturing strategies and capacity planning for new and existing products, including capital planning
• Create, review, and maintain work instructions, assembly procedures, and manufacturing documentation
• Estimate costs for tooling and fixtures and lead Make/Buy analyses with cross‑functional teams
• Partner with design engineering on Design for Manufacturing (DFM), cost, and reliability analysis
• Work with suppliers and contract manufacturers to ensure receipt of conforming parts and assemblies
• Troubleshoot manufacturing issues of moderate complexity requiring data analysis and cross‑functional coordination

Required Qualifications

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or a related field (or equivalent experience)
• 2–5 years of experience in Manufacturing, Mechanical, Electrical, or Test Engineering
• Experience in aerospace, automotive, or commercial manufacturing environments
• Working knowledge of Lean Manufacturing and Six Sigma principles
• Experience with electro‑mechanical manufacturing, drawings, procedures, and Bills of Materials
• Proficiency with Microsoft Office and engineering systems such as Minitab, Oracle, Agile, and CAD tools (SolidWorks preferred)
• Willingness to travel to supplier sites up to 30%

Preferred Qualifications

• Experience with sheet metal fabrication, plastics, composites, PCB assembly, mechanical assembly, calibration, or testing
• Strong organizational, communication, and time‑management skills
• Ability to work independently in a fast‑paced, deadline‑driven environment

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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