Operations Engineer jobs at Woodward

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.

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.

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

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

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.

CDW is happy to be partnering with our Chicago based client on this new Senior Cloud Engineer opportunity. Please find the details below and apply if interested! Senior Cloud Engineer Contract Length: 3-6 months - 40 hours per week, potential to extend and/or convert to a permanent role Location: Onsite in Chicago, IL 60606 Interview Process: 2 interviews Top three skills needed: Expert understanding of AWS products, including: EC2, S3, ALB/NLB, VPC, Lambda, RDS, ElastiCache, DynamoDB, Batch, IAM, SQS, SNS Strong to Expert understanding of Kubernetes as a platform, including cluster creation from scratch, cluster management, security, deployment of applications, usage of Helm; experience with managed Kubernetes platforms, such as EKS, AKS, or GKE a plus Experience with cloud-native security practices and tools Job Description: This exciting hands-on role within our Infrastructure & Platform Services team will provide you with the opportunity to make a lasting impact on the firm's cloud implementation, strategy, and architecture design. You will have the chance to work with some of the smartest and most driven individuals in the industry. As a Senior Cloud Engineer, you will: Serve as a mentor and guide to Cloud Engineering team members Play a key role in architecting and managing our public cloud environments Partner with developers and internal stakeholders to understand requirements and provide recommendations for cloud solutions and strategies to address those needs Work with Infrastructure & Platform teams to provide a consistent end user experience across our on-premise and cloud environments Write code: whether it's Python, Terraform, Puppet, or something else, writing code to automate and optimize deployment of infrastructure and applications is a core part of this role Develop self-service capabilities that allow stakeholders to access cloud services quickly and efficiently Implement and support applications and systems running on our cloud environment Stay up to date with the latest trends and offerings within the cloud computing space and act as a champion of cloud adoption across the organization Provide a platform as a product to others within the organization: we create and maintain a world-class cloud and application platform, which we then operate and offer as a product Participate in out-of-hours on-call rotation and maintenance Core Tech Stack: Public cloud: AWS and Azure Infrastructure Code: Terraform Application Management: Kubernetes, Docker, Helm OS: Linux and Windows Container Technologies: Containerd, Podman, OCI Observability Tools: Grafana, Prometheus, Thanos, OpenTelemetry To be considered a good cultural fit, you must be: An ambitious self-starter Hungry to learn Driven towards success A very strong and efficient communicator Able to multi-task and excel in a fast-paced trading environment A problem solver; able to develop quick and sound solutions to complex problems Comfortable working in, and leading, an agile-based team To be considered a good technical fit, you must have: 7+ years, hands-on experience architecting and implementing large-scale, highly available, services on public cloud (AWS preferred) A bachelor's degree in engineering, computer science, information systems, or related field Expert knowledge of immutable infrastructure, infrastructure automation and provisioning tools, such as AWS CloudFormation or Terraform Expert understanding of AWS products, including: EC2, S3, ALB/NLB, VPC, Lambda, RDS, ElastiCache, DynamoDB, Batch, IAM, SQS, SNS Strong to Expert understanding of Kubernetes as a platform, including cluster creation from scratch, cluster management, security, deployment of applications, usage of Helm; experience with managed Kubernetes platforms, such as EKS, AKS, or GKE a plus Experience with cloud-native security practices and tools Understanding of FinOps principles and cloud cost optimization Strong knowledge of automation scripting using Python and/or Bash Strong knowledge of Linux administration particularly RHEL-based operating systems Strong operational understanding of networking concepts, architecture, and best practices, especially as it relates to hybrid cloud integration Hands on experience working with container technologies (Docker, Podman) Experience with disaster recovery and business continuity planning Familiarity with source control systems (Git) as well as CI/CD tools (Jenkins, TeamCity, BitBucket, Azure Pipelines) Analytical skills - Ability to troubleshoot and logically assess problems and determine solutions Detailed documentation skills - ability to represent ideas, requirements, reference architecture and problems in clear, concise, and business-friendly documents Bonus points for: Public cloud architecture and strategy planning experience Contributions to open-source libraries, projects, or communities AWS Certified Solutions Architect (Associate or Professional), AWS Certified SysOps Administrator Associate Any additional AWS, Azure, or GCP resource specializations Kubernetes certifications (CKA, CKAD, CKS) Experience with configuration management tools such as Ansible Knowledge of AI/ML infrastructure management Experience with platform engineering practices

CMP Services seeks an Senior Project Engineer to support LACCD at Los Angeles Community Collage District program. Provides technical skills and coordination support to the Quality Assurance/Quality Control (QAQC) Department. Coordinates with Program Management Office (PMO) staff, College Project Teams (CPT), and College staff. Participates in, and occasionally runs, QAQC meetings. Conducts field checks and site walks to verify compliance with assigned metrics related to Key Performance Indicators (KPIs) or other assessment criteria. Supports in addressing matters with the CPTs and PMO related to Standard Operating Procedures (SOPs), KPIs, and assessments. Assists in preparing written materials including correspondence, reports, procedures, and guidelines. Develops monthly project status reports for all assigned active construction projects. Reviews construction change orders and construction field orders. Reviews construction and professional services contracts. Manages data collection for status report updates, and reviews documentation as needed with CPT/PMO. Reviews project risks and coordinates with CPT to develop project status reports. Facilitates resolutions related to QAQC issues. Coordinates with CPT for timely and accurate responses to requests for information. Generates and distributes meeting minutes and maintains project files for reporting. Assist in the development of Key Performance Indicator (KPIs) Responsible for monitoring and addressing KPIs with CPT/PMO. Maintains various trending reports for assigned campus i.e. RFIs, CCDs. Assist in the development of new trending reports and attributes for assessments. Coordinates and prepare materials for CPT workshops. Assist in SOP GAP analysis. Supports and compiles data for on-going audits, as necessary. Assists in process improvement initiatives and coordination. Reviews project data for conformance to SOP and/or QAQC metrics. Other job-related duties or projects as assigned. Required Experience: 5-8 years minimum recent professional experience in a similar or equivalent position involved in project or construction. BS/BA Degree in Engineering, Construction Management, Business or related degree. Additional qualifying experience in excess to the minimum stated above may be substituted for the required education on a year for year basis. Strong organizational skills and ability to work in a fast-paced environment. Strong written and verbal communications skills. Able to travel to LACCD campuses Must have high level of interpersonal skills to handle sensitive and confidential situations and documents Must be proficient in MS Office applications such as Word, Excel, and PowerPoint. Ability to work in fast-paced environment and adhere to deadlines. Ability to take initiative and make sound decisions. Preferred Qualifications: Experience on Educational programs/projects. Experience on large public works programs. Experience with E-Builder (Trimble Unity Construct). Experience with audits.

CMP Services seeks an Project Engineer I - Sustainability to support LACCD at Los Angeles Community Collage District program. Provide technical and engineering support to the Project Managers and Construction Managers. Coordinates with Architect for timely and accurate responses to requests for information. Responsible for the maintenance and distribution of current contract plans and specifications. Confirms contractor's maintenance of record drawings prior to monthly progress payments to the Contractor. Makes field checks on construction, demolition, rehabilitation, alteration addition or repair projects to determine compliance with job specifications, plans, established College standards, and Division of the State Architect (DSA) Requirements. Documents progress of construction, demolition, rehabilitation, alteration addition or repair projects, logging photographs, daily project reports and notes as required. Assists in preparing written materials including correspondence, reports, procedures, and guide lines. Logs and tracks status of project change order proposals, field orders, and approved change orders. Maintains project files and record drawings. Logs and reviews submittals for conformance to plans and specifications. Assists in coordinating and recording minutes of meetings with project stakeholders. Assists in review of submittal procedures, RFI's and monthly invoices. Performs other project support duties as directed. Required Experience: Minimum of 3 years' experience in a similar or equivalent position involved in project or construction management of commercial and/or public or educational facility construction projects with values in excess of $15M BS/BA Degree in Engineering, Architecture, Business, Construction Management or related field required. Preferred Qualifications: Experience utilizing Building Information Modeling (BIM) Experience with Leadership in Energy and Environmental Design (LEED) certified projects and/or the Collaborative for High Performing Schools (CHPS) Experience with Division of the State Architect (DSA) construction/design process

Leeds Professional Resources (A leader in Construction Recruitment) is working with a leading mechanical contractor specializing in commercial HVAC, plumbing, and piping systems. We deliver high-quality mechanical solutions for projects in healthcare, education, industrial, and commercial markets. Our team is dedicated to safety, precision, and exceptional client service. Position Overview: We are seeking a motivated Commercial Project Engineer to support our project management and field operations teams. The ideal candidate will have 1-2 years of experience working with either a commercial general contractor or a mechanical contractor. This role offers an excellent opportunity to grow into project management within the commercial mechanical industry. Key Responsibilities: Assist Project Managers with the planning, scheduling, and coordination of mechanical construction projects. Review project plans, specifications, and submittals to ensure compliance and accuracy. Track and document RFIs, submittals, change orders, and material procurement. Support project budgeting, cost tracking, and schedule management. Coordinate with field teams, subcontractors, and vendors to ensure smooth project execution. Assist in project closeout activities, including punch list completion and documentation. Participate in on-site meetings and provide technical support as needed. Qualifications: Bachelor's degree in Mechanical Engineering, Construction Management, or a related field (preferred). 1-2 years of experience working with a commercial general contractor or commercial mechanical contractor. Basic understanding of mechanical systems (HVAC, plumbing, piping). Strong communication and organizational skills. Proficiency in Microsoft Office and construction management software (e.g., Bluebeam, Procore, or similar). Detail-oriented with the ability to handle multiple tasks in a fast-paced environment.

Job Posting Start Date 12-11-2025 Job Posting End Date 02-27-2026Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.Job Summary To support our extraordinary team who build great products and contribute to our growth, we're looking to add a Facilities Engineer located in Austin, TX. Reporting to the Facilities Manager the Facilities Engineer role applies engineering values to design, modify or develop facilities, testing, machines, equipment or processes used in processing or manufacturing products. What a typical day looks like: Researches facility products or equipment specifications and performance requirements to define designs which can be produced by existing manufacturing or processing facilities and methods. Researches engineering proposals, process requirements and related technical data pertaining to industrial facilities machinery and equipment design. Defines feasibility of designing new plant facilities equipment or modifying existing facilities considering costs, available space, time limitations, company planning and other technical and economic factors. Provides technical facilities information concerning manufacturing or processing techniques, materials, properties and process advantages and limitations which affect long range plant and product engineering planning. Compiles and researches facilities research data to establish performance standards for newly designed or modified equipment. Studies engineering and technical publications to keep abreast of technical changes and developments in industry. Uses computer assisted engineering and design software and equipment to perform engineering tasks. Guides projects and project teams. The experience we're looking to add to our team: Bachelor of Science Degree in Electrical Engineering, related degree or equivalent experience and training. Requires a minimum of 6+ years of related experience. Prefer some knowledge of manufacturing operations. Demonstrates advanced operations, technical and people and/or process skills as well as customer (external and internal) relationship skills. Demonstrates expert knowledge of the function and a thorough comprehension of Flex's and related business. Creates functional processes or technologies. Executes functional strategic plans and objectives at the site. Matter Expertise in one or more of the following areas: clean rooms, Walk-in Coolers & Freezers, RO/DI Water systems, Waste Neutralization, Compressed gas distribution systems, vacuum systems, Process chillers and non-clean utilities. Manufacturing plant construction in a cGMP industry; preferably in Medical Devices or Pharma. Facilities Engineering construction activity at MEP (Mechanical, Electrical and Process) discipline. Fault/Root Cause Analysis and Review (FRACAS). Utilities (steam, cooling media, heating media, water systems, compressed air). KR13 What you'll receive for the great work you provide: Full range of medical, dental, and vision plans Life Insurance Short-term and Long-term Disability Matching 401(k) Contributions Vacation and Paid Sick Time Tuition Reimbursement Pay Range (Applicable to California)$70,900.00 USD - $97,500.00 USD AnnualJob CategoryOperationsRelocation: Not eligible Is Sponsorship Available? NoRequired Skills: 2D Drawing Interpretation, CAD Software, Problem Solving AbilityFlex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit *********** Summary of Role: To be a part of the US Application Engineering team, providing excellent technical customer support for GF technologies, focused on Power Management applications, leading to successful tape-outs. Essential Responsibilities: Cultivate long-term, strategic partnerships and alignment with GF customers to generate growing demand for our differentiated solutions Meet with GF customers to collect or better understand technical requests and issues gating design Provide application engineering solutions to solve complex design issues and ensure the customer's success Analyze customer requirements for application of GF's products Work independently under minimal supervision Routinely report status of projects and address design gating issues with urgency Advocate for customer to our internal development organizations to improve and enhance the GF's enablement solutions, technologies and business processes Resolve customer technical issues through GF's case system Support GF teams in creating or maintaining technical customer-facing documents Routinely coordinate and participate with GF teams to drive technical development, continuous improvement, cost reduction or productivity improvement Travel - Up to 10%, as needed Other Responsibilities: Be a company-wide subject matter expert in circuit design, applications or enablement, and able to guide or mentor peers on GF solutions or issue resolution Solve complex problems and bring innovation to problem-solving Represent the Application Engineering team within GF or in customer-related engagements Generate documents to facilitate customer issue resolution and internal business process introduction or improvements Perform all activities in a safe and responsible manner and support all Compliance, Environmental, Health, Safety & Security requirements and programs at GF Work and collaborate on other projects and assignments, as needed Required Qualifications: Bachelor's in Electrical or Computer Engineering or related field with 6+ years in semiconductor manufacturing, design or enablement Experience with circuit design environment, tools & methodologies Experience Power Management technology, application, design, PDK or design tools & methodologies Experience with Linux, shell scripting, SVRF, TCL, Python or other automation languages & environment Consistent performance and professionalism Skilled with Microsoft tools (e.g. Office, Outlook, SharePoint, MS-Dynamics, etc.) Strong communication skills Strong planning & organizational skill Fluency in English Language - written & verbal Preferred Qualifications: Master's in Electrical, Computer Engineering or related field with 7+ years in semiconductor manufacturing, design, or enablement; or PhD in Electrical, Computer Engineering or related field with 5+ years in semiconductor manufacturing, design or enablement Publication of design, application or design enablement documents in previous roles Experience with modeling, ESD, latch-up Experience with Booleans and design rules Experience with physical design, DRC, DFM Familiarity with device physics Familiarity with the tape-out process Familiarity with PCMs, process KPIs Familiarity with silicon manufacturing Project management Sales or Customer interface Cross-functional project leadership/participation Expected Salary Range $94,300.00 - $231,600.00 The exact Salary will be determined based on qualifications, experience and location. If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations. GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory. All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law