Machining Engineer jobs at Grainger

Powell's products include class-leading vacuum circuit breakers, monitoring, sensing and control electronics, communications and software systems, switchgear, motor control, and safety-focused enclosure systems. Powell's 75-year leadership in vacuum switching technology and arc-flash safety is widely known and in use globally, while being designed and manufactured in multiple facilities in the US, Canada and the UK. One of our three Houston-area manufacturing facilities also includes a prototyping shop and UL-certified high voltage and high current lab, where you will be able to model and validate the performance of your designs in real time. Essential Responsibilities • Propose concepts and develop complex level designs for both existing and new product lines. • Develop innovative designs that meet profit, cost, quality, and time-to-market metrics. • Determine and specify design parameters, validate according to standards, and prepare documentation. • Investigate patentable concepts. • Participate in validation and testing of components/system or assemblies in the development and validation process. • Develop test plans based on D/PFMEA, project specifications, industry standards, and reliability and validation requirements for both internal and external laboratories. • Participate in laboratory testing, analysis of data, and create corrective action plans. • Ensure project designs meet requirements of specification and standards while promoting errorproof assembly. • Prepare written documentation of processes, material requirements, test results, and project activity as required. • Understand and enforce regulatory document requirements. • Interface with outside vendors, consultants, and customers. • Work with third-party vendors to develop high-quality, lowest-cost design options. • Continuously improve engineering processes including DFX, project and product costs, quality, and project lead times. • Collaborate and provide Engineering support to Sales/Product Management and Manufacturing on new products and processes. • Participate in and facilitate Product Development Process. Minimum Qualifications • Bachelor's Degree in Electrical, Mechanical Engineering or Power Engineering. • 4+ years of progressive experience in Engineering design and/or development on technical and innovative projects. • Strong technical knowledge in the following categories per discipline: • Electrical: Current and Voltage Sensors, Power Systems. • Mechanical: Molded Components or Mechanism Design, castings, and metal fabricated parts. • Working knowledge of electromechanical product design and development. • Working knowledge of switchgear and/or controls. • Experience with medium/high voltage electrical power systems preferred. • Experience creating and reviewing DFMEA and PFMEA process and documents preferred. • Experience developing projects within a Stage-Gate Process. Skills, Abilities & Other Requirements • Able to prioritize and manage time effectively. (Self-motivated and self-managing). • Demonstrated analytical and problem-solving ability. • Participation in industry organizations (associations, standards committees, etc.) to stay informed of and to influence industry activities a plus. • Proven experience with computers; Microsoft Office, Microsoft Project, or equivalents. • Ability to write/edit technical documents, test reports, engineering standards, industry technical papers. • Demonstrated verbal and written communication skills. • Ability to quickly respond to strategic and tactical changes. Working & Environmental Conditions The employee typically performs duties in a normal office environment. There will be some work in our manufacturing shop facilities, as well as in our electrical test lab. More Information This job description outlines the essential functions of the job and does not contain a comprehensive list of all possible responsibilities, tasks, and duties. #LI-CAB In our 75+ year history, Powell has always known that our employees are at the heart of our success. Without question, we have the most talented people in all parts of our organization. As a manufacturer, we recruit and hire experienced and knowledgeable applicants to ensure our product is engineered, fabricated, and assembled to customer specifications! Powell's culture has and will always be founded in our "can do" attitude. If we can imagine it, we can do it. Become a part of our story and let us help you write yours. Hard work pays off in all our teams, with opportunity for advancement and promotion without sacrificing work-life balance. Successful candidates must have a legal authorization to work in the United States on a full-time basis, with only those candidates selected for interview contacted. Powell offers comprehensive health insurance for you and your family, 401k savings, annual bonus potential, generous paid time off, professional development opportunities, company-sponsored wellness programs, and a collaborative work environment. EOE Protected Veterans/Disability If you need an accommodation in the hiring process, you may contact ************. Application status inquiries will not be accepted in this manner.

Machine Learning Model Engineer - Samsung Ads Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team. Responsibilities Lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market. Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc. Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production. Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals. Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health. Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives. Mentor junior engineers and provide technical guidance. Learn quickly and adapt to a fast-paced working environment. Experience Requirements: Master's or PhD degree in Computer Science or related fields. 4+ years of industry experience with a Master's degree or 2+ years of industry experience with a PhD degree. Solid theoretical background in machine learning and/or data mining. Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.). Hands-on experience with production-grade machine learning solutions. Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.). Extensive programming experience in Python, Go or other OOP languages. Familiarity with data structures, algorithms and software engineering principles. Proficiency in SQL and databases. Strong communication and interpersonal skills to drive cross-functional partnerships. Preferred Experience Requirements: Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.). Basic knowledge about Amazon Web Services (AWS). Experience with the advertising industry and real-time bidding (RTB) ecosystem. CALIFORNIA ONLY Compensation for this role is expected to be between $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We're seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end - from data pipelines and model training to evaluation and low-latency inference. You'll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You'll Do Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation. Build and maintain data pipelines for training, evaluation, and reporting - ensuring reproducibility and quality. Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback. Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact. Build inference services that meet tight latency and cost targets, with caching and fallback strategies. Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts. Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We're Looking For 3+ years of experience in applied ML (ranking, search, or recommendations). Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus). Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate). Proven ability to take models from notebook to production - APIs, CI/CD, monitoring, rollback. Experience building data pipelines with Airflow, Prefect, Dagster, or dbt. Comfortable owning latency, cost, and reliability for inference services. Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores. Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We're seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end - from data pipelines and model training to evaluation and low-latency inference. You'll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You'll Do Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation. Build and maintain data pipelines for training, evaluation, and reporting - ensuring reproducibility and quality. Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback. Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact. Build inference services that meet tight latency and cost targets, with caching and fallback strategies. Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts. Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We're Looking For 3+ years of experience in applied ML (ranking, search, or recommendations). Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus). Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate). Proven ability to take models from notebook to production - APIs, CI/CD, monitoring, rollback. Experience building data pipelines with Airflow, Prefect, Dagster, or dbt. Comfortable owning latency, cost, and reliability for inference services. Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores. Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We're seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end - from data pipelines and model training to evaluation and low-latency inference. You'll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You'll Do Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation. Build and maintain data pipelines for training, evaluation, and reporting - ensuring reproducibility and quality. Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback. Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact. Build inference services that meet tight latency and cost targets, with caching and fallback strategies. Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts. Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We're Looking For 3+ years of experience in applied ML (ranking, search, or recommendations). Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus). Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate). Proven ability to take models from notebook to production - APIs, CI/CD, monitoring, rollback. Experience building data pipelines with Airflow, Prefect, Dagster, or dbt. Comfortable owning latency, cost, and reliability for inference services. Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores. Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We're seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end - from data pipelines and model training to evaluation and low-latency inference. You'll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You'll Do Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation. Build and maintain data pipelines for training, evaluation, and reporting - ensuring reproducibility and quality. Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback. Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact. Build inference services that meet tight latency and cost targets, with caching and fallback strategies. Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts. Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We're Looking For 3+ years of experience in applied ML (ranking, search, or recommendations). Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus). Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate). Proven ability to take models from notebook to production - APIs, CI/CD, monitoring, rollback. Experience building data pipelines with Airflow, Prefect, Dagster, or dbt. Comfortable owning latency, cost, and reliability for inference services. Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores. Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

We are seeking a detail-oriented and motivated CAD Engineering Technician Intern to join our Millwork Solutions Engineering team. This internship offers hands-on experience in drafting and modeling custom millwork components using industry-standard tools like Microvellum and Autodesk Inventor. You'll work closely with experienced engineers and designers to support the creation of precise 3D CAD models and technical documentation for production. KEY RESPONSIBILITIES: Create and modify detailed 3D CAD models and 2D drawings using Microvellum and Inventor. Assist in the development of custom millwork designs and engineering solutions. Interpret architectural and engineering drawings to produce accurate shop drawings. Collaborate with engineers and production teams to ensure design intent and manufacturability. Maintain drawing standards and file organization within the engineering database. Support the documentation of design processes and best practices. Requirements Currently pursuing or recently completed a degree or certification in Drafting, CAD Technology, Mechanical Engineering Technology, or a related field. Proficiency in Autodesk Inventor and familiarity with Microvellum or similar woodworking/CAD software. Strong attention to detail and ability to follow technical specifications. Basic understanding of millwork or cabinetry manufacturing is a plus. Excellent communication and organizational skills. BENEFITS: • 1 hour of PTO per 40 hours worked • On-Demand Pay - Access your earned pay prior to payday • Additional Employee Perks such as fitness club reimbursement, retail discounts, company apparel, special employee events and meals, and more Recognized as one of the fastest growing furniture and cabinet manufacturers in the United States, Stevens Industries, Inc. is a world-class manufacturer of wood and laminated products. We're dedicated to innovation, technological advancement, and beauty in functionality. Founded in 1956 and 100% employee owned, we credit our achievements to a focused path and our talented, passionate employee owners. Stevens Industries, Inc. and Tot Mate Central is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Salary Description $16-$18 per hour

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for a Mechanical Engineer to join Kaiser Aluminum Warrick Operations in Newburgh, Indiana! What's in it for you! To support our teams and their families beyond the workplace, we provide an outstanding benefits package effective day one of employment! Industry leading compensation program. 401K options that begin vesting day 1. First-rate vacation plan for valuable work-life balance. Relocation assistance for new team members. Employee resource groups. What you will work on: Create and develop programs that will support process improvements to safely meet Warrick Operations' business plan. Coordinate all phases of assigned area mechanical engineering projects from concept, scope development, written specifications, bid solicitations, design, manufacturing, equipment commissioning, and project closure. Assist production and maintenance with equipment and process issues. Function as a problem solver, applying theory and experience to develop process improvements and accurately identifying problems by submitting sound recommendations for long-term improvements of equipment and processes. Lead and participate in process improvements with multi-discipline technical staff, maintenance and production. Mentor employees to increase their process knowledge and support their career growth Work to eliminate waste through reliability enhancements and monitoring processes, ensuring they are in control and meeting expectations. About you: Deep understanding and ability to quickly comprehend electrical and mechanical systems and failure modes. 3-5+ years of heavy industry experience Demonstrated problem solving using data. Passion to learn and improve. Effective team leader and team member that energizes others. Ability in influence business leaders, peers, and team members professionally with data, logic and presentation skills Bachelor of Science degree in Mechanical Engineering or Mechanical Engineering Technology from an accredited institution. Strong software skills. (MS Office, Creating document templates, Creating Excel sheets with special formatting/tables, importing data/results, etc.) About Kaiser Aluminum Warrick: We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.

Support Organic Growth Strategy through developing new products that meet consumer needs and Marketing product roadmap. ESSENTIAL FUNCTIONS/MAJOR RESPONSIBILITIES Understand user pain points that drive product opportunities Develop product solutions from concept to production and support product through entire lifecycle Define and document product specifications Conduct product and component testing as required Design for best cost, provide early cost estimates and refine throughout process. Manage costs to commitments Propose project timelines and manage project to keep commitments. EDUCATION & EXPERIENCE Degree in mechanical engineering or equivalent. Five years' experience in product development, or equivalent. Five years' experience in related work, such as plastic molding, manufacturing, metal fabrication, etc. COMPETENCIES (Knowledge, Skills, Abilities) Proven Creative Problem Solver Proven Self learner Three years Parametric Modeling experience (SolidWorks preferred or Creo) Knowledge and experience in high-volume manufacturing methods (injection molding, assembly, steel fabrication) Five years Consumer Product Design experience Knowledge and skills in numerous prototyping methods (fdm, urethane casting, cnc machining, metal fabrication, welding, assembly, finishing) Empathy for consumer/end user PHYSICAL REQUIREMENTS & WORK ENVIRONMENT The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all Butterball IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Knowledge, Skills, and Abilities Butterball Core Competencies Caring about people, valuing contributions, and empowering to succeed is the Butterball Way. We recognize the value that different perspectives and cultures bring to Butterball and seek to create an environment where everyone can thrive. Everyone has a seat at the table and is expected to embody our core competencies: • Safety First: We put safety first. The health, safety, and well-being of our people, products, and turkeys is everyone's responsibility and everyone's jobs. • Integrity: We trust each other to do the right thing. We act with integrity and gain the confidence and trust of others through honesty, respect, and authenticity. • Stewardship: We take care of what matters. We are accountable to our commitments and take responsibility for the well-being of our teams, our quality, our customers, our business, our brand, and our communities. We are always answerable for our actions and those we lead. • Enthusiastic Attitudes: We create a climate where everyone feels they belong and can be engaged, every day. Where our people are enthusiastic and motivated to do their best and work together to make great things happen. • Continuous Improvement: We are committed to continuous improvement. We challenge ourselves and our company to constantly learn, develop, grow, improve, and innovate. Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms Physical Demands • While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, keyboard, and occasionally lift up to 15 pounds. Specific vision abilities required by this job include close vision, distance vision, depth perception, color vision and the ability to adjust focus. Working Conditions & Travel Requirements • Work is performed in a climate-controlled office environment with the option to work remotely periodically. For remote work, the employee must have a dedicated workspace to safely setup and use assigned IT equipment, preferably free from distractions. The employee is responsible for ensuring adequate internet service is available when working remotely (the recommended minimum speed is 20mb download and 5mb upload). • The noise level of the environment is usually moderate. • Minimal regional travel may be required. Disclaimer The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of what is required of personnel so classified. Furthermore, they do not imply or establish a contract for employment and are subject to change at the discretion of the employer. Butterball, LLC is an equal opportunity employer and is committed to the fair and impartial treatment of all employees and applicants for employment without regard to gender, age, race, religion, color, national origin, physical or mental disability, military/veteran status, sexual orientation, gender identity and expression, genetic information, marital status, parental status, pregnancy, or any other status protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job We embrace equal opportunity employment. Butterball is committed to the fair and impartial treatment of all employees and applicants for employment without regard to gender, age, race, religion, color, national origin, physical or mental disability, military/veteran status, sexual orientation, gender identity and expression, genetic information, marital status, parental status, pregnancy, or any other status protected by law. This position is deemed Safety Sensitive for purposes of Butterball's Drug/Alcohol Screening & Testing Policy. Details will be provided to individuals who receive a conditional job offer, or upon request.

Staff AI Engineer Base Salary Range: $225,000-$300,000 + Equity A well-funded technology company in the autonomous driving and software-defined vehicle space is seeking a Staff AI Engineer to help drive next-generation AI capabilities across their platform. This role is ideal for senior engineers who excel at building end-to-end AI systems and want to work on impactful, real-world applications at scale. Responsibilities Lead development of AI-driven software solutions to address complex challenges in autonomous systems and vehicle software Apply deep expertise in LLMs, agentic frameworks, RAG pipelines, data engineering, and evaluation methodologies Own the full lifecycle of data and model development Including modeling, training, tuning, validating, deployment, and long-term maintenance Perform data analysis to extract insights and support decision-making across multiple domains Collaborate with cross-functional engineering, product, and research teams to translate requirements into effective AI solutions Document and clearly communicate architecture, design decisions, and interfaces to internal stakeholders We look forward to your application!

The Horsburgh & Scott Company is a leading manufacturer of industrial gears and custom gear drives, boasting nearly 135 years of engineering and manufacturing expertise. Our commitment to quality and innovation ensures that we deliver the highest quality gearing products and services to our customers. To learn more about our Company and capabilities, visit our website at Horsburgh & Scott | Gear Manufacturer and Gearbox Repair. Primary Job Functions: Perform engineering functions for custom design products. These functions will include (but are not limited to: Gear tooth geometry analysis and ratings. Shaft deflection analysis. Bearing life analysis and selection. Lubrication system design. Housing design. Gear drive layout. Assembly and testing notes. Review and approve drawings from designer detailers for release to the shop. Enter requisition text for major raw material items into BaaN system for purchase. Secondary Job Functions: Point contact for technical communications (post order) with customers and sales personnel. Disposition Nonconforming Material Reports (NMR's). Issue Engineering Change Notices (ECN's) when appropriate. Support shop / assembly when questions or issues come up. Create detail drawings when necessary. Other functions as required by management. Qualifications: B.S. Mechanical Engineering. Minimum of five years' experience in linear/rotational machine design a must (experience within gear industry preferred). 3-D modeling experience, Solid Works experience a plus. Able to read and understand machine drawings. BaaN (ERP System) experience a plus. Microsoft Office applications. Strong verbal and written communication skills. Creative thinker and problem solver. Capable of managing multiple priorities. Participate in H&S Safety program De. Able to perform the essential functions of the position with or without accommodation.

Within our Tracy manufacturing facility, Leprino Foods is seeking a Senior Plant Project Engineer to support and enhance the plant's cheese and dairy ingredient operations! We take pride in our vision to be “world's best,” which drives us to work hard, invest wisely, and consistently improve the systems that keep our plant running safely and efficiently. At Leprino, starting compensation for this role typically ranges between $114,000 and $140,000. This position has an annual target bonus of 12%. WHAT YOU'LL DO: Lead plant capital projects from concept through startup, including design, equipment selection, construction, installation, and commissioning. Develop complete Authorization for Expenditure (AFE) packages with accurate project scopes, cost estimates, budgets, and timelines. Write and review specifications, layouts, technical drawings, and installation plans while ensuring the work complies with applicable regulatory and engineering standards. Coordinate project activities with production and maintenance schedules to minimize operational disruption. Partner with plant maintenance, operations, controls, and corporate Technical Services to ensure project designs support reliability, sanitation, safety, and long-term performance. Supervise contractors, consultants, and construction teams, inspecting completed work for quality, accuracy, and compliance. Prepare and update mechanical, electrical, and process documentation-including AutoCAD drawings, P&IDs, and equipment files-for all assigned projects. Evaluate opportunities to improve utilities, process efficiency, repair/maintenance access, and equipment reliability through thoughtful engineering design. Provide technical support to the plant by assisting with troubleshooting, root-cause analysis, and recommendations for systems or equipment upgrades. Maintain project documentation, reports, and communication with clarity and consistency to ensure all stakeholders remain aligned. YOU HAVE AT LEAST (REQUIRED QUALIFICATIONS): Bachelor's degree in mechanical, chemical, electrical, industrial engineering, or a related technical field; or equivalent experience in food manufacturing. Five or more years of experience leading capital projects in a manufacturing plant, including developing scopes, budgets, and timelines. Experience owning capital projects up to approximately $6 million in value, from concept through commissioning. Hands-on experience coordinating contractors, construction crews, or fabricators during equipment installation or system upgrades. Working knowledge of plant utility or automated systems such as PLCs, HMIs, steam, refrigeration, or compressed air. Proficiency in Microsoft Word, Excel, PowerPoint, Project, and basic AutoCAD (layouts, P&IDs, or equipment drawings). WE HOPE YOU ALSO HAVE (PREFERRED QUALIFICATIONS): A master's degree in an engineering or technical field. Prior experience in dairy, cheese, beverage, or other sanitary food processing environments. Advanced CAD capabilities and familiarity with sanitary design principles. Experience supporting or coordinating capital projects within a food production facility, including utilities such as ammonia refrigeration, boilers/steam, compressed air, and CIP systems. At Leprino, we believe in equal employment opportunity and make employment decisions based on each individual's unique talents, experience, skills, and knowledge; we do not discriminate on the basis of any personal characteristics. We know we are better together and are committed to creating an inclusive and supportive culture in which all employees can thrive. OFFERING YOU IN RETURN: A chance to be part of a global team of individuals passionate about producing and delivering high-quality products that help feed and nourish families around the world. Leprino could not be where it is today without our incredible employees. That is why we share in our success together by rewarding you for your hard work. Hiring great people who are in it for the long run is our goal. Through competitive salaries and bonuses, life, medical/dental/vision coverage, voluntary benefits, employee assistance programs, wellness incentives, tuition assistance, vacation, ten paid holidays, sick time, paid parental leave, annual merit increases, as well as the LFC Profit-Sharing & 401(k) plan. Your impact will be noticed and rewarded, as you seek to further our company, our customers, and one another. OUR STORY: Leprino's history dates back to the 1950s, when Jim Leprino first started making small batches of mozzarella for local markets and eateries in the Little Italy neighborhood of Denver. We've grown a bit since then. Today, Leprino is the world's largest manufacturer of mozzarella and lactose, and a leading producer of whey protein. Still owned by the Leprino family, our sights are set to be the “World's Best Dairy Food and Ingredient Company.” From a small corner grocery store we have grown to over 5,500 employees throughout the globe. Will you join us on our journey? The “Easy Apply” option through LinkedIn is not considered an official application with Leprino Foods. If you would like to formally apply for this position, please visit careers.leprinofoods.com

TITLE: FACILITIES ENGINEER FLSA STATUS: EXEMPT REPORTS TO: SR. MANAGER OF FACILITIES Under the direction of the Sr. Manager of Facilities Maintenance, the Facilities Engineer is responsible for the providing mechanical engineering support for all HVAC or other industrial equipment, including design, layout, or modification of new or existing systems; managing facilities projects or programs of various scope, schedule, and budget such as new building construction or repair, new/upgraded tool or equipment installation, etc.; developing, updating, and reporting various energy, water, or CO2 consumption or emission reports; preparing and updating all building layout diagrams using Computer Aided Design (CAD) software. This position is located in Milpitas, California. ESSENTIAL FUNCTIONS: Administers, maintains, and supports all HVAC or other industrial equipment, including the installation, design, layout, and modification of new or existing systems Responsible for maintaining building management and environmental treatment systems Manages facilities projects or programs of various scope, schedule, and budget, including new building construction or repair, new/upgraded tool or equipment installations, etc., ensures project is completed within the required timeline and budget Develops, analyzes, and reports on various performance metrics, including energy and water consumption or CO2 emissions; creates reports, charts, or graphs as needed Researches, develops, and manages programs which reduce energy consumption and emissions to ensure that environmental and safety standards are consistently met Prepares and updates all building layouts, including cubicle diagrams, emergency or evacuation routes, equipment, tool, or laboratory layouts Administers, prepares, and updates equipment Manufacturing Process Instructions (MPI's); initiates Change Control Notifications (CCN's) as needed to ensure documentation remains up-to-date Provides technical assistance or trouble-shooting guidance for building maintenance and environmental management software applications Responds to requests from employees and departments regarding facilities-related issues or support Adheres to all safety policies and procedures as required Performs other duties of a similar nature or level* Job Qualifications MINIMUM QUALIFICATIONS: Bachelor's degree in Electrical, Industrial, or Mechanical Engineering and/or equivalent relevant experience Two years of experience working in building management, construction, or facilities in a manufacturing environment Experience using environmental, electrical, or industrial controls systems Experience using AutoCAD, Autodesk, and BACnet building and environmental management application as well as Automated Logic Control (ALC) and KMC Controls Proficient in the use of Microsoft Office Applications Knowledge, Skills, and Abilities: Knowledge and ability to provide engineering support for HVAC or other industrial systems Knowledge and ability to use Autodesk or AutoCAD to create, update, and maintain building layouts and designs Knowledge of HVAC systems, automation, and environmental controls Knowledge and ability to use Microsoft Office applications to create spreadsheets, Word documents, and presentations Able to communicate effectively, both verbally and in writing, with all levels of contractors, consultants, employees, and management Able to work productively and collaboratively with all levels of employees and management Able to comply with all safety policies and procedures Able to analyze data, create reports, and present findings or recommendations Demonstrated organizational and time management skills Demonstrated project or process management skills Demonstrated problem-solving and trouble shooting skills Demonstrated analytical and critical thinking skills Flexible and able to prioritize The annual base salary for this full-time position is between $120,819.00-$177,675.00 + bonus target + benefits. Within the range the individual pay may differ depending on additional factors including job responsibilities, job related knowledge, skills, abilities, education, and experience. The annual base pay range shown is subject to change and may be modified periodically. WORKING CONDITIONS: The Facilities Engineer works primarily in an office environment from Monday thru Friday. The schedule may be altered from time-to-time to meet business or operational needs; may travel from building-to-building as needed. May occasionally work outdoors; may work in a class 100 ESD sensitive wafer manufacturing facility; wears a cleanroom (bunny) suit, including hood, gloves, safety glasses, booties, and mask. May be exposed to hazardous conditions, chemicals, fumes, and/or gases during the course of work day; may be exposed to loud noise. may work in close proximity to moving mechanical parts. Stands and walks, bends and twists, and crawls. Performs various fine grasping movements; operates a computer and enters information using a keyboard, operates a telephone, and other office equipment. May occasionally push, pull, or lift up to 30 pounds.

Join our dynamic team at MITY, Inc, a leading furniture manufacturer dedicated to crafting high-quality, innovative, and sustainable furniture solutions. We pride ourselves on our commitment to excellence and our passion for creating products that enhance living and working spaces. We are looking to add a Plastic Process Improvement Engineer to the team! The purpose of the Plastics Process Improvement Engineer is to develop and evaluate the injection molding and extrusion processes, and tools. The main duties are to support the production and engineering needs through the set-up and operation of the molding and extrusion equipment and processes. Duties and Responsibilities: Evaluate status of tools in injection molding and plastic extrusion Design and evaluate plastic components using SolidWorks Act as point of technical contact to plastics, mold making and extension suppliers. Conduct research to identify new materials and methods for improved product performance Collaborate with cross-functional teams to ensure project success Analyze schematics and logic controllers to troubleshoot and resolve issues Establish tooling maintenance plan Create and update parameters for optimal production of plastic parts. Qualifications: Bachelor's degree in Engineering, Plastics certification or equivalent previous experience Strong mechanical knowledge and understanding of injection molding and plastic extrusion equipment Proficiency in SolidWorks or similar CAD software Experience with plastics injection molding is highly desirable Familiarity with lean manufacturing Familiarity Excellent problem-solving skills and attention to detail Benefits Include: Medical Insurance Dental & Vision Insurance Company Paid Life Insurance as well as Voluntary policy options 401k with Company Match Paid Time Off - Day one Accrual Paid Sick Time Holiday Pay (80 hours per year) * MityLite does not offer sponsorship employment benefits*

ECF Engineering Consultants is a full-service engineering firm specializing in providing technical solutions to the Energy Markets and to the public and private sectors that require electrical and mechanical engineering support. We serve these entities across a range of projects, offering consultation on technology utilization, design solutions for electrical and mechanical systems, public health systems, and equipment procurement and construction-phase services. General Description of Position: Principal Mechanical Engineer to oversee HVAC, electrical, and plumbing projects within the Building Services Group. MEP engineering design for commercial, institutional, industrial, municipal, and residential HVAC, electrical, and plumbing projects. The candidate shall have expertise in HVAC, electrical, or plumbing system design, as well as in energy efficiency retrofits and energy management systems. They can solve complex problems innovatively and manage people, processes, and projects effectively. We seek someone who can coach, teach, and mentor other engineers. The candidate will be responsible for designing projects, preparing reports and specifications, and providing a very high level of technical leadership. This position requires a highly experienced, motivated professional to lead the department, drive innovation, and deliver high-quality engineering solutions that meet client needs and industry standards. Essential Functions of the Position: Leadership and Management Lead, mentor, and manage a team of engineers and designers across HVAC, Electrical, and Plumbing disciplines. Foster a culture of collaboration, technical excellence, and continuous improvement. Develop and implement departmental goals, strategies, and best practices Project Oversight Supervise the technical aspects of MEP projects from concept to completion. Ensure project designs comply with codes, standards, and client requirements. Review and approve designs, calculations, and technical documents. Coordinate with other departments to ensure seamless integration of MEP systems within overall project designs. Technical Expertise Provide advanced technical guidance and troubleshooting for complex MEP systems. Stay updated with emerging technologies, trends, and regulations in the MEP field. Lead the implementation of innovative solutions to improve design efficiency and sustainability. Client and Stakeholder Engagement Serve as the primary technical point of contact for clients on MEP-related matters. Develop and maintain strong client relationships, ensuring satisfaction and repeat business. Support the business development team in preparing proposals, presentations, and technical estimates. Operational Excellence Establish and enforce quality assurance and quality control (QA/QC) standards. Monitor project budgets, schedules, and resources to ensure timely and cost-effective delivery. Manage the allocation of departmental resources for optimal performance. Training and Development Identify training needs and promote professional development for team members. Organize workshops, seminars, and other knowledge-sharing activities. Position Characteristics: Self-starter and outgoing personality traits Demonstrated leadership skills Ability to take direction and act independently Strong communication and organization skills Ability to manage multiple priorities and stay organized while doing so. Position Requirements: Bachelor's degree in mechanical, electrical, or a related engineering field. A master's degree is preferred. A Professional Engineer (PE) license is required. Minimum of 7-10 years of experience in MEP engineering, with at least 3 years in a leadership role. Strong HVAC, Electrical, and Plumbing systems design and implementation expertise. Proficient in industry software such as AutoCAD, Revit, and engineering analysis tools. In-depth knowledge of building codes, standards, and regulations (e.g., ASHRAE, NEC, IPC). Proven experience managing multidisciplinary teams and large-scale projects. Excellent communication, problem-solving, and decision-making skills. Commitment to sustainability and energy-efficient designs is a plus. Work Environment: The position requires both office-based and occasional on-site work. May involve some travel to client locations and project sites.

Delta, founded in 1971, is a global leader in switching power supplies and thermal management products with a thriving portfolio of smart energy-saving systems and solutions in the fields of industrial automation, building automation, telecom power, data center infrastructure, EV charging, renewable energy, energy storage and display, to nurture the development of smart manufacturing and sustainable cities. As a world-class corporate citizen guided by its mission statement, “To provide innovative, clean and energy-efficient solutions for a better tomorrow,” Delta leverages its core competence in high-efficiency power electronics and its ESG-embedded business model to address key environmental issues, such as climate change. Delta serves customers through its sales offices, R&D centers and manufacturing facilities spread over close to 200 locations across five continents. Delta has 158 sales offices, 72 R&D centers and 48 manufacturing facilities worldwide. Throughout its history, Delta has received various global awards and recognition for its business achievements, innovative technologies, and dedication to ESG. Since 2011, Delta has been listed on the DJSI World Index of Dow Jones Sustainability™ Indices for 11 consecutive years. In 2021, Delta was also recognized by CDP with leadership level ratings for its substantial contribution to climate change and water security issues and named Supplier Engagement Leader for its continuous development of a sustainable value chain. Power Electronics R&D Engineer - EV Power We are seeking a highly skilled and motivated R&D Engineer to join our team focused on developing cutting-edge on-board chargers for electric vehicles (EVs). The ideal candidate will have a deep understanding of various power conversion topologies, magnetics and wide band gap devices, with a strong background in both theoretical and practical aspects of power electronics. Key Responsibilities: - Design and develop innovative on-board charger solutions for EV applications. - Research and implement power factor correction topologies, including both hard-switching and soft-switching techniques. - Develop and optimize dual-active-bridge (DAB) and resonant DC-DC topologies. - Work on single-stage AC-DC topologies, including resonant and DAB configurations - Work on wireless power chargers for next generation autonomous charging fleet - Work on Ultra-wide range DC-DC chargers and high step-down auxiliary battery charging applications - Explore and implement new bidirectional devices like bi-GaN and bi-SiC in various applications such as Vienna rectifiers, Current Source Inverters (CSI), and single-stage isolated AC-DC converters. - Collaborate with cross-functional teams overseas to ensure seamless integration of new technologies into existing and new products. - Conduct simulations (Simplis, PLECS, ANSYS, Matlab/Simulink) and prototype testing to validate design concepts and ensure performance meets required specifications. - Stay up-to-date with the latest advancements in power electronics and EV charging technologies. - Prepare technical reports, presentations, and documentation to communicate findings and support product development. Qualifications: - Master's or Ph.D. degree in Electrical Engineering, Power Electronics, or a related field. - Proven experience in power electronics design and development, specifically in EV on-board chargers. - Strong knowledge of power factor correction topologies (both hard-switching and soft-switching). - Expertise in DAB and resonant DC-DC topologies, single stage AC-DC topologies, wireless power charging - Knowledge of EMI noise source and propagation phenomenon, experience with EMI filter design - Proficiency in working with wide band gap devices such as SiC and GaN. - Familiarity with new bidirectional devices (bi-GaN and bi-SiC) and their applications. - Hands-on experience with simulation tools such as MATLAB/Simulink, Simplis, PLECS, or similar. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills, both written and verbal. Preferred Qualifications: - Experience in the automotive industry, particularly in EV charging systems. - Knowledge of industry standards and regulations related to EV charging. - Experience with hardware design and testing (6 kW, 11 kW, 22 kW), including PCB layout and thermal management. What We Offer: - Competitive salary and benefits package. - Opportunity to work on cutting-edge technology in the rapidly growing EV industry. - Collaborative and innovative work environment. - Professional development and career advancement opportunities such as IP generation. Equal Opportunity Employer: We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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

Project & Design Engineer (ABG) American Bath Group (ABG) is a leading manufacturer of high-quality bathing products, dedicated to innovation, craftsmanship, and customer satisfaction. With a strong portfolio of trusted brands, we provide tubs, showers, and bathware solutions designed for both residential and commercial applications. At ABG, our mission is simple: to make a positive impact on people's lives. Guided by our values of Integrity, Transparency, and Servant Leadership, we are committed to excellence, safety, and sustainability-while creating rewarding career paths in the manufacturing industry. Position Summary Reporting to the Director of Product Management & Engineering, the Project & Design Engineer - Bathware will be a key member of ABG's shared product development team. This position is ideal for someone who started as a CAD expert (2-5 years) and is now ready to grow into a broader engineering and project management role. During the first 180 days, the Project & Design Engineer will manage smaller sub-projects while still owning the CAD stage, and over time, will take on full end-to-end project ownership-from concept to launch. This role requires an innovative thinker who thrives on solving design challenges, driving collaboration, and seeing projects through to completion. Primary Responsibilities Develop and manage new bathware product designs for multiple channels in North America while maintaining brand standards and market positioning. Oversee product development from concept through launch, managing CAD, supplier coordination, prototype development, and handoff to commercial teams. Create 2D and 3D design data (sketches, renderings, CAD models, photo-realistic visualizations) for internal and external use. Participate in Voice of Customer research and industry events to understand market trends and user needs. Collaborate with Product Development, Industrial Design, and Manufacturing teams to align on design feasibility and project timelines. Support implementation of new design tools, processes, and innovation methods that enhance product development. Contribute to process improvement in Design for Manufacturability (DFM), FMEA, and stage-gate product development methodologies. Partner with manufacturing personnel, negotiate with suppliers, and participate in product validation efforts. Assist with the setup of BOMs, ECNs/ECRs, and PDM/PLM documentation as part of project management. Cultural Fit Comfortable working in dynamic, undefined environments with multiple concurrent projects. Hands-on leader who collaborates well with floor personnel, engineers, and cross-functional stakeholders. Communicates openly, transparently, and confidently with all levels of the organization. Driven to start, finish, and deliver-a self-starter who sees projects through completion. Must-Have Qualifications CAD Proficiency: Solid 3D and surface modeling experience in SolidWorks or equivalent. Self-Starter & Finisher: Proven ability to take initiative, work independently, and close out projects. Engineering Degree: Bachelor's in Industrial Design, Mechanical Engineering, or equivalent technical field. Nice-to-Have Qualifications Bathware or plumbing product design experience. Knowledge of composite manufacturing and mold/tooling design. Experience with BOM setup, ECN/ECR processes, and PDM/PLM archival systems. Education & Experience 5-10 years of experience in industrial or product design. 2-3 years of project management experience, preferably with stage-gate or structured product launch processes. Familiarity with bathware industry standards and certifications (CSA, ICC, IAPMO, FHA, ADA). Understanding of Design for Manufacturability, FMEA, and risk management methods. Experience with FEA tools a plus. Availability to travel up to 10% as needed. Why You'll Love Working Here As a Project & Design Engineer - Bathware, you'll play a direct role in shaping innovative products that define the future of ABG's brands. You'll join a collaborative, cross-functional team that values creativity, precision, and accountability-while working in a fast-paced environment that rewards initiative and ownership. Equal Opportunity Employer Statement American Bath Group (ABG) provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.