Operations Engineer jobs at BASF

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.

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 an Operational Technology (OT) Engineer to join Kaiser Aluminum Warrick Operations in Newburgh, Indiana! The OT Engineer ensures that critical manufacturing control systems are reliable and meet the needs of the site, partnering with other manufacturing and engineering teams on projects and initiatives. As a member of the OT team, you will have the opportunity to manage the complex challenges of scale which are unique to Kaiser Aluminum, while using your technical, process, and business experience to drive operational improvements. The primary responsibilities of the OT Engineer include design, development, deployment, enhancement, and maintenance of process control systems, and optimization of process equipment for maintaining and improving safety, quality, capacity, and reliability in a 7x24 operating environment. This position is fully on-site and will require a daily in-person presence. 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: Control System, Human Machine Interface (HMI), and Data Collection / SCADA systems. Process improvement project design and execution Industry 4.0 initiatives and projects Collaborate with Production, Maintenance, Plant Engineering, Corporate Engineering, IT, and Quality teams to improve process uptime and equipment reliability, through implementation of both new and existing process computer systems Partner with Corporate Kaiser Aluminum teams ensuring consistency and enhancement of manufacturing network and domain Position includes design, programming, testing, and maintaining systems using the following: UNIX/LINUX Operating Systems Microsoft Windows Operating System Programming in C, VB.NET, FORTRAN Citect HMI/SCADA software Database Development (SQL and Microsoft Access) Basic Network Communications About you: Our values - act with integrity, operate with excellence, care for people - are at the foundation of everything we do. To be successful in this role and to play a part in our ongoing success we desire the following background: Bachelor's degree in Engineering or Computer Science Recent experience with application development, preferably in support of a manufacturing process control environment Excellent problem-solving skills, with a demonstrated ability to understand business needs and leverage technology to meet those needs Strong & creative analytical aptitude with high attention to detail and accuracy Participation in continuous improvement process improvement opportunities with measurable results that are impactful to the organization Preferred qualifications: Unix, Linux, or other Open Systems administration experience SCADA experience Familiarity with database concepts, including SQL or similar relational database administration Visual Basic, Visual Studio, .NET system experience, web development experience (JavaScript and PHP) Desire to work in an industrial environment, working alongside members of the operations teams to understand issues and improve processes 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.

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!

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.

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.

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.

About the Company AMD is searching for a Mixed Signal Model Verification Engineer for a 1-year project (possible extension) at their beautiful office in Santa Clara, CA. This is an onsite, W2 position. About the Role We are seeking a detail-oriented mixed signal model engineer to verify behavioral models written in SystemVerilog, both logic and real number. It will involve writing constraints and stimulus for CAD tools to run equivalence check against the schematic. It is required to read and understand the mixed signal circuit schematic to debug any mismatch between behavioral model and circuit transistor-level behavior. Modification to the behavioral models to make it equivalent to the mixed signal circuit is expected. Responsibilities Extensive experience in modeling mixed signal circuits in SystemVerilog, including real number modeling Strong understanding of HDL/SPICE co-simulations Strong understanding of custom circuit schematic Strong background in analog integrated circuit design Proficiency in RTL design languages like SystemVerilog Experience with formal equivalence checking tools like ESP Qualifications Required Must Have Skills Extensive experience in modeling mixed signal circuits in SystemVerilog, including real number modeling Strong understanding of HDL/SPICE co-simulations Strong understanding of custom circuit schematic Strong background in analog integrated circuit design Proficiency in RTL design languages like SystemVerilog Experience with formal equivalence checking tools like ESP

Local/Commutable candidates ONLY. This is an entry-level Design Engineer role. I would say 1+ years of experience. Heavy industrial manufacturing background with any trailer manufacturing a plus. Job Title: Design Engineer Salary: $65-75K plus 10% bonus Job Summary of the Design Engineer: The Design Engineer will collaborate with a team of design engineers responsible for designing mechanical products and systems, resulting in a finished product that meets the needs and expectations of the customer. Job Duties & Responsibilities of the Design Engineer: Plan and complete engineering projects by studying customer requirements, market demand, and competitors' products; scheduling and assigning employees; following up on work results. Evaluate mechanical systems and products by designing and conducting research programs; applying principles of mechanics, hydraulics, and materials. Confirm system and product capabilities by designing feasibility and testing methods; testing properties. Develop mechanical products by studying customer requirements; researching and testing manufacturing and assembly methods and materials, and soliciting observations from operators. Develop manufacturing processes, focusing on cost reduction and process improvement by designing and modifying equipment for fabricating, building, assembling, and installing components. Assure system and product quality by designing testing methods; testing finished product and system capabilities; confirming fabrication, assembly, and installation process. Prepare product reports by collecting, analyzing, and summarizing information and trends. Provide engineering information by answering questions and requests. Maintain product and company reputation by complying with government regulations. Maintain system and product database by writing computer programs and entering data. Maintain professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies. Contributes to team effort by accomplishing related results as needed. Education & Experience Requirements of the Design Engineer: Bachelor's Degree in Mechanical Engineering required. Entry-Level 1-5 years experience. Heavy haul trailer engineering experience a plus. Heavy equipment engineering experience a plus Must have advanced computer skills and be able to understand electronic processing. Technically proficient in Excel, and Design software systems. Excellent written, verbal, and interpersonal communication skills for effective interface with all internal and external contacts. Possess analytical and technical skills required to understand business practices and recommend proper automation opportunities. Must have a functional understanding of cost accounting. Must be an innovator and embrace lean enterprise principles and practices. Ability to quickly learn new tools, systems, etc.

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

Senior IoT Engineer (R&D) $130-150k base salary Davis, CA We're partnered with an industry leader in the utility-scale solar digitization and automation space, who are currently going through some exciting growth in their IoT and are looking for an experienced Snr IoT R&D Engineer to join their team in Davis, CA. The IoT R&D Engineer will be leading on the design, development and prototyping of IIoT products that will provide critical infrastructure for construction automation in the solar sector, and then working closely with cross-functional teams to develop integrated hardware and software systems. The role will work closely with the IoT Director to define project scopes, working with the product managers to turn requirements into technical solutions, and providing technical mentorship to junior technicians and engineers internally. Key skills & experience: Demonstrable experience as a professional in the hardware product development space, preferably in a start-up or R&D environment This is a hands-on role that will be focused ‘tinkering' with a lot of new products/ideas - would be good to have experience with RF, GPS, Vision (Cameras, Optics & Lighting), and systems integration Should have a good understanding of fabrication technologies, power delivery systems, and electrical troubleshooting techniques Looking for someone with good CAD experience Looking for someone with a broad/generalist background who has experience across the entire product development process - open to applicants from a Solar, Construction, or Industrial background This role will be working onsite in Davis, CA. Interested? Apply now or send a copy of your resume to ***************************

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.

The Systems Engineer III (Electronics) is responsible for developing advanced controls for heat pump, electric, and gas water heaters. This position will focus on IoT and connected devices, developing green products, and energy transfer and storage to continuously improve our controls and customer experience. This is a key position on the electronic controls team within Rheem's Advanced Technology Integration organization, providing advanced technologies and systems solutions for Rheem's Water Heating and Air Conditioning business unit. This position will serve our Enterprise Division, located in Ft. Smith, AR, Lewisville, TX, or San Antonio, TX (Onsite). Responsibilities Define / Develop advanced control architectures and requirements for heat pump, gas, electric and combi water, and space heaters. Provide technical leadership in the controls space for the product development team. Participate in developing system engineering processes and quality criteria. Work collaboratively to develop and extend system architecture and design for electronic controller applications. Develop design concepts or models, supervise prototyping, and conduct performance testing to determine feasibility of concepts. Actively engage with software, hardware, test, and product development teams over the entire product life cycle to ensure that system engineering work products are planned, documented, and completed. Define / Perform verification and validation activities to support product development and launch. Support manufacturing engineering and suppliers by participating in product test procedure and control documentation development. Work closely with customer service team to support product and controller training. Qualifications Bachelor's degree in Engineering (Systems, Electrical, Computer, or Mechanical discipline) 5+ years of experience in the development of embedded microprocessor-based controls. An innovative solution-first spirit and an ability to think creatively. High technical aptitude Able to work with cross-functional teams (e.g., product managers, engineers, business teams) and external subject matter experts Experience architecting and developing electronic controls for Water Heating and / or HVAC equipment Experience with System Requirements Documentation, Requirements Traceability, and Test Case development and execution. Experience with Functional Safety (e.g., IEC 61508, ISO26262) or Agency Certification Requirements (e.g., UL 60730, UL 174, etc.) Experience with product and component level FMEAs Experience with real time embedded systems over the entire product lifecycle. Knowledge of one or more of: WiFi, Bluetooth, cellular communication, Ethernet, IoT Passionate about building and owning innovative, customer facing services/products. Great presentation and communication skills Proficient computer skills and in-depth knowledge of relevant software such as MS Office Suite. Preferred Qualifications Master's degree in Engineering or related field. HVAC / Water Heating industry experience preferred. Gas Appliance Experience Electronics Design and/or Manufacturing Experience Embedded Firmware or Software Experience Quality / Reliability Experience Automated Test Development Experience #DICE About Us At Rheem, we are dedicated to bringing comfort to people's lives. As a leading global manufacturer of heating, cooling and water heating equipment, we are innovating all-new ways to deliver just the right temperature while saving energy, water and supporting a more sustainable future. It is an exciting challenge that requires a team of talented, passionate people with a diverse set of skills. From engineers to accountants, sales professionals to support experts, Rheem depends on people to power our innovations. Join Rheem, and help shape the future of products that impact lives-every day. Our Behavior Based Values Set Us Apart Listening to Understand - Open mind, learning from others, accepting feedback, embracing the objective Contributing Respectfully - Sharing opinions, valuing ideas, sharing opposing perspectives with respect Thinking Creatively - Applying creativity, seeking improvements, understanding from the customers' lens Acting with Responsibility - Owning decisions and actions, acting with integrity, embracing accountability Rheem is an Equal Opportunity Employer. Rheem encourages all qualified candidates to apply, including those of any race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The job description above has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Equivalent combination of education, experience, and skills may supplement above minimum job requirements. For U.S. Based jobs, please note that Rheem is unable to hire candidates to be employed in the following states: Alaska, District of Columbia, Hawaii, Idaho, Mississippi, Montana, New Mexico, North Dakota, or Vermont. Rheem and its subsidiaries do not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee.

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.