Engineering Jobs in Brookfield Wi Flexible
222 positions found — Page 10
Responsible for level loading daily production schedules through analyzing resource capacity and other constraints to optimize throughput, while minimizing manufacturing cycle time, inventory, and achieving on-time delivery goals.
Demonstrate strong interpersonal skills through effective communication and coordination with multiple functional groups including Operations, Customer Service, Finance, and Purchasing.
Assist the Master Production Scheduler (MPS) in determining and maintaining forecast and safety stock levels.
Direct daily workflow (WIP
- "work in process") through analysis of reports and input from cross-functional teams.
Align and set priorities for resources and shared resources across the factory to maximize efficiency and material flow to ensure customer ship schedules on time.
Accumulate daily parts/material information to analyze and establish dates to meet and exceed customer delivery requirements.
Communicate with cross-functional teams including Customer Service, Engineering, Quality, Operations, and Purchasing.
Own metrics of manufacturing cycle time (OTTC), throughput, past due order reduction, and on-time delivery.
Participate in and lead business process improvement events such as Continuous Improvement Framework, kaizens, and workshops to improve processes and reduce waste.
Assist in the development and implementation of procedures and techniques that will improve the scheduling function.
Actively participate in process improvement and creation/adhering to standard work.
Establish optimal inventory levels to achieve desired service, while utilizing just-in-time inventory management philosophies.
Requirements: Bachelor's degree from an accredited institution.
Must be legally authorized to work in the US without company sponsorship.
Relocation is not offered for this position.
Candidates must reside within a 50-mile radius of the Waukesha, WI site to be considered for this opportunity.
Required Skills: Strong ethics, values, and the ability to influence others' decision making.
Ability to manage multiple projects/activities; results-driven.
Knowledge of product and manufacturing process.
Process-oriented and ability to contribute to continuous improvement.
Excellent communication and interpersonal skills.
Solid computer skills.
Understanding of problem-solving methods (A3, 8D, root cause analysis).
Knowledge of Continuous Improvement, Lean, or Six Sigma.
Detail-oriented.
Excellent verbal, written, and analytical skills.
Must have a high level of discretion and ability to handle sensitive and confidential information appropriately.
Preferred Skills: APICS CPIM Certification.
Proficiency in SAP ECC/MRP planning and/or purchasing modules.
Demonstrated experience with Lean/Six Sigma principles utilizing consignment, pull systems, Kanban.
Proven analytical, problem-solving, project management, and facilitation skills.
Expert knowledge with Microsoft Excel.
Knowledge of institutional problem-solving tools/processes such as cycle time reduction and process improvement tools: Six Sigma DMAIC methodology, Kaizen, DOE, Pareto Charts, Statistical process control, Process mapping, Tree diagrams, Root cause analysis, Analytical software programs.
Salary: $90,000
- $110,000 per year A bit about us: North American robotics systems integrator that engineers and deploys customized automation solutions including robotic welding, assembly, palletizing, and material handling for manufacturing companies across multiple industries.
Why join us? Recognized for innovation and company culture Rapid year-over-year growth Exciting client projects All the benefits and perks: Healthcare, PTO, Flexible schedule, professional development Job Details Role Summary Responsible for the design and execution of automated manufacturing solutions, ensuring projects are completed within established timelines and cost parameters.
Key responsibilities include developing mechanical designs for automated systems and robotic work cells, including equipment layout, component selection, performance sizing, and engineering analysis.
Create detailed design documentation, 3D models, and technical drawing packages while supporting system configuration within internal business systems.
Collaborate cross-functionally with electrical, controls, and integration teams to deliver safe, compliant solutions aligned with customer specifications and applicable industry standards.
Identify and mitigate technical and execution risks throughout the design lifecycle while supporting overall project success.
Interpret technical requirements and commercial proposals to define project scope, develop implementation plans, and maintain alignment with project budgets covering labor and material costs.
Support adherence to project schedules and coordinate with internal stakeholders to meet delivery objectives.
Evaluate and select suppliers for fabricated and purchased components based on quality, cost, and delivery considerations.
Contribute to proposal development by providing technical input, feasibility guidance, and cost awareness for future opportunities.
Present design concepts and progress updates to internal teams and external stakeholders, ensuring clear communication of technical intent through documentation, visualizations, and simulations.
Provide mentorship and technical support to engineering team members as needed and assist with additional operational responsibilities when required.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
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- Turnkey Automation Systems
- Direct Hire This Jobot Job is hosted by: Brandon DeDeker Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $65,000
- $130,000 per year A bit about us: Our customer is a leading industrial automation provider.
They have about 125 employees and have all facets of engineering on-site such as Mechanical, Controls, Software, Applications and Project.
They are looking for a strong Controls Engineer to join their growing team.
Why join us? We provide turnkey automation systems for a variety of industries including: Medical Device, Consumer and Industrial, E-Commerce, Aerospace, Automotive, etc.
Because of this we always have plenty of work and projects coming in.
We are one of the leaders in new technology offering our employees to work on custom projects involving robotics, 3D printers, palletizers and many others.
In addition, we work with our people and understand work is not everything.
We will ensure you are more than just a number and will help you accomplish your career goals and aspirations, We have great reviews from customers and employees and are always looking for talented individuals.
Job Details The Controls Engineer will be responsible for performing preventative maintenance, some PLC and Robotics editing and working with customers.
MUST HAVES: 1+ years of experience (hiring junior to senior level) PLC Programming Experience with material handling or automation equipment Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
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This Jobot Job is hosted by: Andrew Kraig
Are you a fit? Easy Apply now by clicking the "Apply" button
and sending us your resume.
Salary: $150,000 - $275,000 per year
A bit about us:
Founded nearly two decades ago and based in Cupertino, with other offices worldwide, we are a leading precision timing company delivering programmable semiconductor MEMS solutions that power performance, reduce size and power usage, and enhance reliability. With billions of devices shipped, we continue to transform the timing industry and partner with the world’s most innovative technology leaders.
Why join us?
- Competitive Compensation: OTE of $250-275k (60% base, 40% commission) + equity
- 401(k) with Company Match
- Comprehensive Benefits: Medical, Dental, Vision, Life, and Wellness Programs
- Generous PTO & Paid Holidays
- High-Growth Environment: Join a scaling team targeting 40% revenue growth YOY
- Collaborative Culture: Work cross-functionally with marketing, product, sales, and engineering
- On-Site Role in Santa Clara Headquarters
Job Details
Key Responsibilities and Duties
- Plan, develop, and execute integrated multi-channel marketing campaigns to drive awareness, engagement, and demand for precision timing solutions.
- Collaborate with product marketing, segment marketing, sales, and engineering to align messaging with buyer personas.
- Manage campaign workflows including content creation, email, advertising, social media, and live events.
- Execute ABM and lead nurturing programs tailored to semiconductor design engineers and hardware decision-makers.
- Oversee campaign performance metrics, provide insights, and optimize for ROI through testing and analytics.
- Use Salesforce, Marketo, 6Sense, and Power BI to manage data, pipeline tracking, and reporting.
- Coordinate cross-functional execution while maintaining project timelines and deliverables.
You should have most of the following:
- Bachelor’s Degree in Marketing, Communications, Digital Marketing, or related field.
- Minimum 7+ years of experience managing integrated marketing campaigns in high-tech B2B industries.
- Strong background in demand generation, ABM, inbound and content marketing.
- Proven experience with Salesforce CRM, Marketo, and campaign analytics tools (6Sense, Power BI).
- Experience in semiconductor, hardware, or deep-tech marketing required (software-only candidates not a fit).
- Demonstrated ability to translate complex technical messaging into value-driven campaigns.
- Strong project management, communication, and cross-functional leadership skills.
Interested in hearing more? Easy Apply now by clicking the "Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: /privacy-policy
Assist in authoring and executing protocols to demonstrate that manufacturing processes are executed with consistent quality and results within a controlled environment.
Responsible for managing and or performing revalidation, engineering studies to evaluate new products or components, change control assessments, and coordination of computer and test method validations of applicable products.
Job Description Validate new and revalidate as appropriate existing equipment used in OTC/Cosmetic and medical device manufacturing.
Perform engineering studies to determine if projects are feasible.
Assist with measurement system analysis including Gage R&R.
Support product/design transfer activities including validations and creation of updates to documentation needed to manufacture OTC cosmetic and medical devices.
Support Change Assessment activities including assessment and qualification of changes to existing product components and implementation of products into manufacturing lines.
Support root cause investigations for non-conformances related to manufacturing validations.
Develop, prepare and install equipment and revise test validation procedures/protocols to ensure that a product is manufactured in accordance with appropriate regulatory agency validation requirement and current industry practices.
Responsible for IQ/OQ and PQ phases and implementation of validated SOPs.
Coordinate projects directly with vendors and service providers to ensure that all validation and installation requirements are being satisfied during the execution of protocols.
Develop timelines for all projects and ensure that deadlines and goals are being met.
Frequently update management and team on progress.
Proactively work with members of the division or project team to identify issues that might delay the project; make recommendations to improve time lines for project completion.
Compile and analyze validation data, prepare reports, and make recommendations for changes and/or improvements.
Maintain all of the documentation pertaining to qualification and validation of assigned projects and equipment/systems.
REQUIRED EXPERIENCE Education Bachelor of Science Degree in Biology, Chemistry, or Engineering.
Work Experience At least 2 years of validation experience in a cGMP Device or Drug environment.
Experience with validations of controlled environments or equipment validations in a regulated environment.
Experience with validation documentation and related change control.
Strong ability to manage multiple priorities, self-starter attitude, good oral and writing skills and the ability to work independently and as a team in an efficient manner.
PREFERRED QUALIFICATIONS Masters of Science in Chemistry, Biology, Biotechnology, Chemical Manufacturing, Biomedical Engineering, or Engineering.
Six Sigma certification.
3 years of validation experience in a cGMP Device or Drug environment.
Process validation experience in a pharmaceutical or Medical Device manufacturing environment.
Experience with validation of various product types such as liquid products, solid dosage products, and multi-component products.
Experience in FDA regulated environment.
Experience with ISO 13485 and ISO 11607 standards.
Experience with Measurement System Analysis.
Experience with Minitab statistical analysis software.
Experience with root cause analysis.
Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
The anticipated salary range for this position: $73,000.00
- $110,000.00 Annual The actual salary will vary based on applicant’s location, education, experience, skills, and abilities.
This role is bonus and/or incentive eligible.
Medline will not pay less than the applicable minimum wage or salary threshold.
Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
For a more comprehensive list of our benefits please click here .
For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.
Explore our Belonging page here .
Medline Industries, LP is an equal opportunity employer.
Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
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
Remote working/work at home options are available for this role.
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
Remote working/work at home options are available for this role.
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:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
- 5+ years of experience in data engineering within cloud environments
- Experience in people management preferred.
- Demonstrated hands-on experience with modern data platforms (Databricks preferred).
- Proficiency in Python, SQL, and data
transformation frameworks. - Experience designing and operationalizing
ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
CI/CD processes. - Solid understanding of data modeling,
structured/unstructured data patterns, and schema design. - Experience implementing governance and quality
controls: metadata, lineage, validation, stewardship workflows. - Working knowledge of cloud architecture, IAM,
networking, and security best practices. - Demonstrated ability to collaborate across
technical and business teams. - Exposure to AI/ML engineering concepts, feature
stores, model monitoring, or MLOps patterns. - 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
Apply NowShare Save JobRemote working/work at home options are available for this role.
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
Requirements:
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
PI7087748e2d7e-3631
Remote working/work at home options are available for this role.
*Securian Financial Groups internal position title isInfrastructure Consultant.
Position Summary:
We are looking for an AWS Dev OpsEngineer with hands-on experience in AWS Tools to help build and maintain cloud infrastructure that supports our data and analytics platforms. This role is ideal for someone with a solid foundation in cloud engineering who is ready to take ownership of infrastructure components and collaborate across teams to deliver scalable, secure, and efficient solutions. Executes projects to research, proof of concept, and implement new solutions. Maintains awareness of trends and technologies to meet new and emerging stakeholder requirements.
Responsibilities include but not limited to:
- Champion the selection of Data and Analytics platforms and tools to be used across the enterprise.
- Engage with users and vendors to execute technology proof of concepts that validate use cases and the value of new solutions.
- Onboard new platforms and tools to ensure solutions are adopted effectively across the organization.
- Collaborate with Data Engineering and Data Science teams to identify tooling gaps and inefficiencies and partner to implement solutions for their needs.
- Build and maintain AWS infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- Configure and manage core AWS services including EC2, S3, IAM, RDS, Lambda, Glue, Redshift and VPC Networking.
- Support data engineering and analytics teams by provisioning and optimizing cloud resources for data pipelines and analytics workloads.
- Implement monitoring, logging, and alerting solutions using tools like CloudWatch.
- Participate in CI/CD pipeline development and deployment automation.
- Ensure infrastructure security through proper IAM policies, encryption, and network configurations.
- Collaborate with data engineers, data scientists, and solution architects to improve infrastructure design and performance.
- Document infrastructure processes and configurations for operational transparency and team knowledge sharing.
- Ability to work with ambiguity and organize requirements to identify options.
- Ability to build productive relationships and collaborate with partners and stakeholders.
- Proficient in managing and maintaining Linux-based systems, including installation, configuration, performance tuning, and troubleshooting. Experienced with shell scripting, system security, user management, and automation tools to ensure reliable and efficient server operations.
Qualifications:
- 2-5 years of experience in cloud infrastructure engineering, with a focus on AWS.
- Experience working with structured and unstructured data and data storage technology RDS Postgres, S3
- Proficiency in Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK).
- Experience with AWS services relevant to data and analytics (e.g., Glue, Redshift).
- Familiarity with DevOps tools and practices (e.g., Git, GitHub, CI/CD, Docker).
- Basic scripting skills in Python, Bash, or PowerShell.
- Understanding of cloud networking, security, and cost optimization principles.
- Strong communication and collaboration skills.
Preferred Qualifications:
- AWS certification (e.g., AWS Certified Solutions Architect - Associate, Associate Developer or Associate Machine Learning Engineer).
- Exposure to big data tools and frameworks (e.g., Spark, Hive). Airflow, Control M, Streamsets
- Cloud Data Platforms: Snowflake, AWS Redshift, RDS, Postgres
- Data Governance & Cataloging: Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance and Catalog (CDGC)
- Master Data Management: Reltio MDM for authoritative data domains
- AI Enablement: SageMaker, AWS Bedrock, Textract, etc. for AI development, MLflow for model lifecycle management
- Experience working in agile or cross-functional teams.
#LI-Hybrid**This position willhave a hybrid working arrangement, workingin-officefor a minimum of3days aweek.**
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. Ifyou'reina commutable distance (90 minutes)you'lljoin us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
The estimated base pay range for this job is:
$89,000.00 - $164,300.00Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
Mental Wellness and Disability
Pride at Securian Financial
Securian Young Professionals Network
Securian Multicultural Network
Securian Women and Allies Network
Servicemember Associate Resource Group
For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).
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Remote working/work at home options are available for this role.
