Manufacturing engineer jobs in Plainfield, NJ

City: NYC, NY/ Orlando, FL Onsite/ Hybrid/ Remote: Hybrid (2 days a week onsite - Mondays and Thursdays) Duration: 6 months (high potential for extension or conversion) Rate Range: Up to$85.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: Strong SQL and Python programming experience Experience with Snowflake (data storage, query optimization) Proficiency with Docker for containerized development Experience with data pipelines and transformation workflows (ETL/ELT) Familiarity with media data (Nielsen, Adobe Analytics, or Comscore preferred) Strong understanding of backend or data engineering principles Bachelor's degree in Computer Science, Engineering, or related field Responsibilities: Develop and sustain backend systems and data workflows for media forecasting applications. Write production-level SQL and Python code to support analytical and web-based applications. Collaborate with Data Engineering, Decision Science, and App Engineering teams to maintain datasets powering key forecasting tools. Design, build, and optimize transformation logic connecting disparate data sources. Support the ongoing development and sustainment of an internal forecasting platform used across multiple business units. Participate in Agile sprint cycles, assisting with prioritization, task management, and technical implementation. Ensure data quality, operational stability, and timely delivery of enhancements. Qualifications: 5+ years of experience in software/data engineering or data product development. Hands-on experience with SQL, Python, Docker, and version control (Git). Familiarity with Snowflake, Airflow, or other cloud-based data orchestration tools. Excellent analytical and communication skills to collaborate across data, science, and application teams. Proven ability to manage both sustainment tasks and new feature development in parallel. Bachelor's degree required. Nice to Have: Media, entertainment, or advertising analytics experience (linear or digital). Exposure to AWS modules (S3, EC2, EMR) and cloud data ecosystems. Experience integrating data with business-facing applications. Understanding of forecasting, viewership analytics, or revenue management systems.

Job Posting Title: Cloud Infrastructure Site Reliability Engineer (SRE) As a Cloud Infrastructure Site Reliability Engineer (SRE) with expertise in multiple public cloud service provider platforms, you will be responsible for operating infrastructure solutions, following the principles and practices pioneered by Google's SRE model. Your work will ensure our cloud services meet uptime, reliability, and performance targets, and you will drive automation and continuous improvement across our production environments. This role will involve collaborating with cross-functional teams to enhance our cloud reliability posture and streamline processes through automation. Key Responsibilities: • Design, build, and maintain highly available, scalable, and secure cloud infrastructure on platforms such as AWS, GCP, or Azure. • Develop and implement automation for provisioning, monitoring, scaling, and incident response using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation, Ansible). • Monitor system reliability, capacity, and performance; proactively detect and address issues before they impact users. • Respond to production incidents, participate in on-call rotations, and lead post-incident reviews to drive root cause analysis and reliability improvements. • Collaborate with software engineering and security teams to ensure new services and features are production-ready and meet reliability standards. • Build and maintain tools for deployment, monitoring, and operations; automate manual processes to reduce toil. • Document operational processes and system architectures to ensure knowledge sharing and repeatability. • Continuously evaluate and implement new technologies to improve system reliability, security, and efficiency. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • 3+ years of experience in software development with proficiency in at least one programming language (e.g., Python, Go, Java, C++). • Experience administrating cloud platforms (AWS, GCP, Azure), including networking, security, containerization, storage, data management, and serverless technologies. • Solid understanding of Linux systems, networking fundamentals, virtualized, and distributed systems, file systems, system processes and configurations. • Deep understanding of observability (monitoring, alerting, and logging) tools in cloud environments. Ability to set up and maintain monitoring dashboards, alerts, and logs. • Familiarity with Continuous Integration/Continuous Deployment (CI/CD) tools for automated testing, deployments, provisioning, and observability. • Ability to manage and respond to incidents, perform root cause analysis, and implement post-mortem reviews. • Understanding of setting, monitoring, and maintaining Service-Level Objectives (SLOs) and Service-Level Agreements (SLAs) for system reliability. Additional Qualifications a Plus: • Experience working with enterprise-scale financial services or other regulated industries • 5+ years of experience in SRE, DevOps, infrastructure, or cloud engineering roles, preferably supporting large-scale, distributed systems. • Excellent problem-solving, troubleshooting, and communication skills. • Experience leading technical projects or mentoring junior engineers. • Certifications: Certified Engineer, DevOps, SRE, CSREF

About the Company This early-stage environmental intelligence startup is building next-generation AI systems that help global organisations understand and plan for water-related risks. Their platform combines deep learning with physics-based modelling to generate high-resolution insights for some of the world's largest infrastructure operators, consumer brands, and investors. Backed by leading scientific minds across climate, hydrology, and machine learning, the company is now expanding its capabilities by developing a new social risk function that captures the human, regulatory, and community dynamics that shape water outcomes around the world. Why Join Join a team pushing the boundaries of environmental intelligence, combining physical and social risk modelling into a unified AI platform. Work with world-class researchers, publish meaningful science, and help deliver tools with tangible global impact. Pioneer a new capability: You'll be the first ML engineer dedicated to modelling social, political, and reputational water risk. Cutting-edge work: Blend NLP, LLMs, graph intelligence, and geospatial modelling into a real, production platform. Genuine impact: Your models will inform global water stewardship decisions across high-risk regions. Interdisciplinary collaboration: Work alongside scientists and researchers across climate, hydrology, and social systems. Early-stage ownership: Build from first principles in a fast-moving, mission-driven startup with strong early traction. What You'll Do Build NLP, LLM, and multi-modal pipelines to analyse community, regulatory, media, and public-sentiment signals - including stance detection, topic/event clustering, and stakeholder network mapping. Fuse unstructured social data with geospatial and physical-risk datasets to generate unified risk insights for real-world decision-making. Partner with climate and domain scientists to translate social signals into actionable risk metrics, contributing to both product development and peer-reviewed research. Deploy scalable, interpretable ML systems into production via APIs and platform infrastructure. What You Bring 3+ years building applied ML/NLP systems, ideally across text, geospatial, or social-network data, including sentiment/stance modelling and multi-source pipelines. Strong Python plus experience with PyTorch/TensorFlow, SQL, and modern LLM tooling (Hugging Face, LangChain, OpenAI APIs). Skilled with entity extraction, topic modelling, network/graph analysis, and data sourcing or weak supervision in multilingual environments. Passion for climate, water, or environmental risk, and comfortable working in an early-stage, collaborative, low-ego environment. Nice to Have PhD / Postdoc with track record of pace and quality of publications Graph ML experience or multi-modal fusion (text + geospatial). LLM fine-tuning for domain-specific tasks. Deployment experience with FastAPI, Docker, or similar frameworks. Background or exposure to environmental science, hydrology, or social-data analysis.

Jacobs Levy Equity Management, located in Florham Park, NJ, is seeking a C# Engineer/Developer for application development. This role will assist in building and maintaining C# GUI and workflow application systems that support our financial application development. Primary Responsibilities The successful candidate will be responsible for developing and supporting the financial applications in the firm, including the following: Partner with Finance, Accounting and Compliance on how best to use the technology platform to optimize the business processes Collaborate with business users to gather requirements and incorporate User Experience (UX) enhancements to the workflow management applications Work closely with the development team to incorporate additional data feeds, and design and develop visual workflows Demonstrate a strong commitment to product quality: provide manual testing of the applications as needed and automate comprehensive testing Facilitate QA and UAT efforts for production systems Build scripts and utility tools to help the development team, as needed Requirements Master's degree in Engineering/Computer Science or equivalent 3+ years of experience in C# programming, industry experience with C++ is a big plus Must have working knowledge of back-office workflows and operations Strong knowledge of Accounting processes; Working knowledge of Advent Geneva is a big plus 3+ years of experience with Microsoft SQL Server 3+ years of experience in the financial services industry is preferred Able to deliver product enhancements on time with quality in a fast-paced environment Good communication skills and the ability to work well in a team Strong troubleshooting and reasoning skills

*Presently we are unable to sponsor and request applicants to apply who are authorized to work without sponsorship* (Can work only on W2) Below are the few details of the opportunity. Job Title: Software Engineering (SRE/DevOps/Windows Eng) Location: Jersey City, NJ 07310 - Onsite Duration: Contract to Hire Job Description: About Candidate: End to end - development, deployment, automation & monitor - using Automation CI/CD pipelines Working with SQL servers, oracle Most apps deployed on windows servers - (windows stack - deployment front end web servers, application servers and database servers) Manage vendor applications Experience with reporting Observability - is key - Graphana, dashboards, Dynatrace, SQL monitoring Agile Skills (required) - Windows PowerShell - scripting / APIs (post man, swagger) Automation - (jewls PL), this is an CI/CD process

What We're Looking For: 2-5 years experience as a Founding Engineer (or equivalent early-stage impact) 🎓 Degree from a top university (must) 🐍 Fluent in Python and/or TypeScript 🧠 Built or worked on AI/agentic systems or LLM-powered products 🔧 Enjoy turning ambiguous workflows into structured, automatable systems 🚀 Entrepreneurial mindset - startup/founder experience a plus 🛠 Excited to work across the stack - from backend infra to prompt engineering and UI tools Tech Stack: • Python + TypeScript • LLM APIs (OpenAI, Anthropic, etc.) • LangChain / semantic search / vector DBs • Agentic orchestration systems • AI coding assistants (Cursor, Copilot, etc.)

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace. With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including. • Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here) • Collabera listed in GS 100 - recognized for excellence and maturity • Collabera named among the Top 500 Diversity Owned Businesses • Collabera listed in GS 100 & ranked among top 10 service providers • Collabera was ranked: • 32 in the Top 100 Large Businesses in the U.S • 18 in Top 500 Diversity Owned Businesses in the U.S • 3 in the Top 100 Diversity Owned Businesses in New Jersey • 3 in the Top 100 Privately-held Businesses in New Jersey • 66th on FinTech 100 • 35th among top private companies in New Jersey *********************************************** Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description This position is for an Electrical Engineer with 8+ years of experience in a similar role. The chosen Candidate MUST have experience with medical quality systems and procedures so previous experience in the Medical Device industry is expected. Candidates MUST have strong working knowledge of design for low power and low noise applications. Experience in board layout for mixed signal/low noise applications. Candidates without this previous experience will not be considered. Familiarity with system grounding/shielding and EMI mitigation design techniques. Experience in board layout for high density, high speed/performance digital interfaces (PADS preferred). Experience in schematic entry (OrCAD preferred). Familiarity with EMC and Safety testing. Good laboratory measurement skills (analog and digital). Knowledge of MS Office documentation, spreadsheet, and presentation tools. Established industry circuit design experience Qualifications Candidates best suited for this position will typically have obtained a Bachelor's degree and 8+ years of experience in a related field or a suitable combination of experience and education relative to the position. Additional Information All your information will be kept confidential according to EEO guidelines.

New Jersey, Onsite, Full Time 150-200k (Based On Experience) We are a large-scale manufacturing operation in New Jersey, constantly evolving and committed to technical excellence, efficiency, and innovation. Our engineering team includes specialists across multiple disciplines, and we are now seeking a strong, well-rounded leader who can bring these experts together to drive collaboration, growth, and continuous improvement. Position Overview We are seeking a highly experienced and technically strong Senior Engineering Leader who can guide, mentor, and elevate a diverse team of engineers. While each team member specializes in their area-process, industrial, mechanical, automation-the Senior Engineering Leader will unify their efforts, establish standards, and ensure best practices are adopted plant-wide. The right candidate is not just a subject-matter expert but a strategic, big-picture leader who can inspire engineers, lead by example, and drive measurable improvements across all spaces. You'll play a pivotal role in optimizing operations, training your team, and embedding a culture of continuous improvement. The Ideal Candidate A well-rounded senior engineer with deep technical knowledge and leadership presence. Proven ability to unify and guide specialized engineers toward shared goals. Skilled in mentoring, training, and developing technical talent. Naturally curious, always seeking ways to optimize systems, workflows, and operations. Confident communicator who can balance strategic vision with hands-on problem solving. Key Responsibilities Lead, mentor, and develop a multidisciplinary engineering team across process, industrial, and mechanical functions. Establish plant-wide engineering standards and best practices to ensure efficiency, quality, and safety. Partner with specialized engineers to identify challenges, improve workflows, and optimize facility spaces. Drive automation, process upgrades, and system enhancements in alignment with company goals. Promote knowledge sharing and training across engineering disciplines. Support capital expenditure planning, cost models, and ROI analysis. Champion a continuous improvement culture across all engineering functions. Qualifications Bachelor's degree in Mechanical, Industrial, Process, or related Engineering field (Master's preferred). 10-15+ years of engineering experience within manufacturing environments. Strong technical expertise across multiple engineering disciplines (process design, systems optimization, automation, facility layout). Proven leadership track record of managing, training, and growing engineering teams. Experience leading cross-functional initiatives that improved efficiency, cost, or production scalability. Excellent problem-solving, analytical, and project management skills. Strong communication and leadership presence-capable of influencing both technical staff and executive leadership. Must-Haves 10+ years in high-volume manufacturing engineering. Hands-on technical strength plus proven leadership of engineering teams. Experience mentoring engineers and elevating team performance. Demonstrated success leading process optimization and system improvements across multiple disciplines. Benefits Competitive salary and performance-based incentives. Medical, dental, and vision coverage. 401(k) retirement plan with employer contributions. Professional development and training opportunities. A collaborative environment with real impact on large-scale operations. This is an exciting opportunity for a high-level engineer ready to step into a leadership role where you'll unify specialized engineers, mentor rising talent, and drive measurable improvement across a large-scale manufacturing plant. Email Resume: ********************* Apply Online: https://jobs.crelate.com/portal/maiplacement/job/eqr4zdqe388dprs6jnnfkh9tkc?crt=***********73 Refer a friend, get up to $1000!

Job DescriptionDescriptionIn this position, you will be responsible for production data analysis to develop and track the impact of strategic initiatives across our manufacturing facilities in America. You will play a pivotal role in collaborating with resources (including finance and process engineering) at the plants to implement enhanced solutions that improve our manufacturing and financial yields. Key Responsibilities Data Analysis: Analyze and provide detailed summaries and reports for industrial process monitoring, diagnostics and optimization. Utilize data-driven approaches to analyze performance metrics, identify trends, and present actionable insights for improvement. Manufacturing Analysis Systems: Establish, deploy and standardize enhanced data analysis systems across manufacturing facilities in America that will increase factory yields and cost. Cross-Functional Collaboration: Interface with production, quality, engineering, program developers, and finance teams regularly. Facilitate and collaborate with various departments within the factories to develop, track, and summarize initiatives that are driving improvement of critical yield KPIs. Continuous Improvement: Initiate and support continuous process improvement efforts along with the local engineering and finance teams. Structured Problem Solving: Establish, deploy and standardize structured problem solving methodologies and documentation across manufacturing facilities in America, including but not limited to Six Sigma and RCCA, etc. Skills, Knowledge and Expertise Bachelor's degree in Engineering or a related field. Relevant certifications and experience with data analytics is a plus. Proven hands-on experience (5-8 years) in a manufacturing environment, with a focus on process engineering, yield improvements, and data analysis. Excellent communication and leadership abilities to effectively collaborate with cross-functional teams and drive change and participate in root cause analysis. Proficiency in project management and change management principles. Capability for rapid analysis, decision making, and team guidance. Experience with Six Sigma quality and data analysis. Proficiency with Minitab or JMP or equivalent software. Familiarity with creating dashboards and reports for production data- including links between yield, defects, and key attribute data. Critical thinker and sound decision maker with strict attention to detail. Dedication to continuous improvement. Relocate to work in factory at Cazenovia, NY. All applicants must be eligible to work in the US without restriction to ITAR documentation and materials. Must be a US citizen, legal permanent resident, refugee, or asylee BenefitsWhat's in it for you on Day 1: Medical, dental and vision insurance plans Prescription Drug Plans Basic Life Insurance 401k plan with company match Tuition Reimbursement Program Security Clearance Incentive Program Employee Referral Program Overtime opportunities Alternate work schedules available PTO (10 days) and NYS Sick and Safe Leave Paid Holidays Exciting Onsite Perks: Free Starbucks coffee available at our café Free access to our Fitness Center Fresh food is available for purchase in the cafeteria store. Employee Appreciation Events Knowles is committed to providing a competitive and fair total compensation package for all employees. One element in our total compensation package is base pay. The starting salary for this role is targeted to be between $100,000 to $130,000 annually. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Knowles, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process. Equal Opportunity Statement: Knowles Precision Devices prohibits pay discrimination and discrimination of any kind based on race, color, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or other legally protected status. ITAR Statement: Please note that this position may require access to technical data controlled under the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants must be U.S. persons (citizens, lawful permanent residents, or individuals granted refugee or asylee status) or have the necessary authorization to access controlled technical data. Compliance with ITAR and EAR regulations is a condition of employment. Notice to Staffing Agencies, Search Firms and Recruitment Agencies: The recruitment process at Knowles is managed through the Human Resources department. Knowles does not accept resumes submitted from 3rd party agencies outside of our system. To submit resumes, 3rd party agencies will need to be a pre-approved vendor with a valid contract in place, be actively engaged by Knowles to recruit for a specific position and have agency log in credentials to submit candidates to our careers portal. Please do not submit resumes via e-mail, through our external website or directly to our employees. Any resumes submitted in this way become the property of Knowles and will not be eligible for any placement fee.

Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Matter. As an organization we are committed to developing the next generation of Makers and Bakers. Joining us at an early career stage in our fast paced and ever changing environment will enable you to do more, learn more and grow more. You will be encouraged to step outside your comfort zone- you may even surprise yourself! We will ensure you are given the support you need to be at your best and enable you to be yourself and bring passion and personality. Here you can lean in and speak up and bring your own flavor. As an organization we are committed to developing the next generation of Makers and Bakers. Join our Taste The Future Program; our fast paced and ever-changing environment will enable you to do more, learn more and grow more. You will be encouraged to step outside your comfort zone- you may even surprise yourself! We will ensure you are given the support you need to be at your best and empower you to be yourself and bring passion and personality. Here you can lean in and speak up and bring your own flavor! Mondelēz International was recognized as one of the Top 100 Intern Programs in the US in 2025 by Yello & WayUp and one of the Best Companies for New Graduates by Forbes. Please note, this position is not based in East Hanover, NJ. The available location options for this role include Chicago, IL, Richmond, VA, Portland, OR, and Naperville, IL. As a Manufacturing Intern, you'll utilize your skills, our systems, and a wide array of raw materials to help create the delicious, finished products our consumers love. You will take ownership of your area of work, ensuring the safety of yourself and your colleagues while producing our top-quality products reliably and efficiently within our integrated supply chain. Our internship assignments focus on practical, value-added projects, providing experiences that teach how operations production drives value across the organization. Key Responsibilities Deliver overall Quality and Process Engineering targets, owning the results for assigned production line(s). Ensure Food Safety for assigned production line(s) by implementing legal and corporate requirements (HACCP, GMP, etc.). Assure product quality by testing raw materials, packaging materials, semi-finished, and finished products in accordance with SOPs and regulatory requirements. Optimize production schedules and provide leadership to meet business goals and drive operational improvements. Lead multi-functional project teams involving technical and operations functions. Analyze and summarize data, providing reports and recommendations for quality improvements. Manage Corrective and Preventive Action Programs and drive Root Cause Analysis for operational and quality improvements. Conduct allergen validations, changeover cleaning verifications, and coordinate sensory panels for assigned production lines. Manage the calibration and verification program for lab equipment and handle sampling and product testing via external laboratories. Research and propose new analytical equipment and methods to drive continuous improvement and reliability in processes. Manage hold and release processes for raw materials, packaging, and finished products, including serious complaints related to food safety. Requirements and Preferred Qualifications: Pursuing a Bachelor's Degree in: Food Science, Engineering (Chemical, Mechanical, Industrial), Biology, Quality, Supply Chain Management, or other relevant sciences. Currently pursuing an undergraduate degree with a preferred expected graduation date between December 2026 and May 2027. Applicants must have work authorization that does not now or in the future require sponsorship of a visa (e.g., H1-B, F-1 (OPT), TN, or other non-immigrant status). Ideal Candidate Characteristics: Strong leadership potential, demonstrated through student leadership experience. Excellent communication skills and resilience in fast-paced environments. Adaptable, with strong interpersonal skills, and engaged in diverse extracurricular activities. Demonstrates a growth mindset, agility, integrity, and a vision for the future. Strong cognitive abilities, data pattern recognition, and a willingness to learn. Driven, curious, and eager to make a positive impact on the organization. Why choose Mondelez International? Ever wondered how your favorite snacks get made? Don't miss the chance to find out! Check out some of the perks of being a MDLZ Intern: Subsidized, fully furnished housing for the Summer (For those who qualify) Roundtrip travel covered at the beginning and end of the internship Given value added projects that are presented to Leadership Intern programming, including events and activities throughout the summer Full-Time conversion opportunities upon graduation Compensation The expected compensation weekly pay ranges for interns is $1,000 - $1,300, based on your expected graduation date. Compensation rates for Summer Interns is pre-determined and non-negotiable. Business Unit Summary The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country. Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact ************ for assistance. For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal Job TypeIntern (Fixed Term) InternsEarly Careers

Description: This role is responsible for but not limited to planning, designing and validating manufacturing processes, according to established engineering specifications. Main Responsibilities: · Support the lean-oriented Continuous Improvement Program at Steinway. This includes initiating and implementing methods changes and process improvements to reduce cycle times and cost while maintaining/improving quality. · Work with factory supervisors to keep production flowing and troubleshooting problems in the factory. · Develop time standards and make recommendations for process improvement. Support the implementation of the standard cost for fabricated items in the factory. · Develop and maintain workstations and plant layouts. · Support current Manufacturing system (MRP) by updating process routings and material usages. Create manufacturing reports to monitor the factory activities. · Develop and maintain operation descriptions, job descriptions and procedure manuals. Maintain and improve documentation for new and existing methods and procedures. · Due to changing requirements, the duties and responsibilities of the position may change over time. Requirements: Qualifications, education and experience: · BS degree in Industrial or Mechanical Engineering required and 2+years of equivalent work experience in a manufacturing environment. · Strong organizational and interpersonal skills. · Strong written and verbal communication skills. · Ability to multi-task and prioritize. · Critical thinking skills and strong initiative to suggest and implement manufacturing changes/improvements. · Working knowledge of an industry standard MRP/ERP systems. · Familiar with the development of standard cost, cost benefit and break-even analysis. · Must have experience in technical writing, generating flow diagrams, developing operation descriptions and developing procedures. · Proficiency in Microsoft Office, MS Project, Visio, and Visual Basic. · Must have working knowledge of Auto CAD. The estimated annualized base salary range for this role is $65,000-$70,000. Compensation will vary based on skills and experience. New employees are eligible to participate in a robust benefits package on the first day including medical, dental, vision, FSAs, generous 401k contribution, paid holidays, vacation and sick leave, professional development, and more.

Job Description Founded in 2000, CompoSecure (NYSE: CMPO) is a technology partner to market leaders, fintechs and consumers, enabling trust for millions of people around the globe. The company combines elegance, simplicity, and security to deliver exceptional experiences and peace of mind in the physical and digital world. CompoSecure's innovative payment card technology and metal cards with Arculus security and authentication capabilities deliver unique, premium branded experiences, enable people to access and use their financial and digital assets, and ensure trust at the point of a transaction. For more information, please visit ******************* and ******************* Position Overview: We are seeking an Advanced Manufacturing Engineer (Automation) who will perform the planning, design, and implementation of automation solutions across our production lines. This role involves designing and building custom machines in-house as well as managing external integrators to deliver turnkey automation systems. The ideal candidate will have a proven track record in machine design, supplier management, and project execution in high-volume manufacturing environments. This position is critical to driving automation initiatives that improve efficiency, scalability, and quality in a multi-million-unit-per-year production setting. Key Responsibilities Automation System Design & Implementation Design and develop custom automation equipment using SolidWorks. Lead full lifecycle of automation projects: concept, design, build, installation, and validation. Collaborate with external integrators and manage suppliers for outsourced machine builds. Production Line Automation Plan and implement automation solutions for assembly and packaging lines. Integrate robotics, PLCs, vision systems, and material handling equipment. Project Management Develop project timelines, budgets, and resource plans. Ensure projects meet performance, quality, and safety standards. Safety & Compliance Ensure all automation systems comply with OSHA, environmental, and company safety standards. Implement risk assessments, machine guarding, and lockout/tagout procedures. Maintain documentation for regulatory compliance and audits. Continuous Improvement Identify automation opportunities to reduce labor, improve throughput, and enhance quality. Drive cost reduction and efficiency initiatives through innovative automation solutions. Qualifications: Education: Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or related field. Experience: 5+ years of hands-on experience in machine design and automation engineering. Proven track record of designing, building, and installing machines in high-volume manufacturing environments. Technical Expertise: SolidWorks proficiency for machine and fixture design. Strong knowledge of automation technologies: robotics, PLC programming, vision systems, conveyors, and material handling. Experience with supplier management and working with external integrators. Understanding of system design, defect analysis, and process optimization. Familiarity with SPC, Six Sigma, and DoE methodologies for data-driven improvements. Ability to troubleshoot automation and mechanical issues, conduct root cause analysis, and implement corrective actions. Preferred: Experience designing full production lines. Familiarity with high-speed automation for multi-million-unit production. Knowledge of Lean Manufacturing principles. Exposure to ISO 13485 or automotive quality standards. Experience with robotic integration, automated quality inspection, and vision systems. At CompoSecure, we believe in supporting our employees with a comprehensive benefits package that promotes health, financial well-being, and work-life balance. Our full-time team members enjoy access to: Medical, Dental & Vision Coverage Flexible Spending Accounts (FSA) Company-Paid Life and Disability Insurance 401(k) with Company Match Paid Time Off & Paid Holidays Annual Bonus Opportunities Employee Assistance Program (EAP) Career Advancement Opportunities Benefits eligibility and details will be shared during the hiring process. We're excited to support you in building a rewarding career with us. Please note: CompoSecure does not accept unsolicited resumes from staffing agencies or third-party recruiters. Any unsolicited resumes sent to CompoSecure, including to our employees, will become the property of CompoSecure and may be used without any obligation to pay referral or placement fees. Any agency or recruiter seeking to work with CompoSecure's Talent Acquisition Team should contact our team directly by sending an email to **************************. CompoSecure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans.

Piper Companies is seeking a Engineering Associate - Manufacturing Science & Technology (MS&T) to support a leading allogeneic cell therapy organization in Branchburg, NJ. This individual will contribute to the development, implementation, and execution of manufacturing processes within a GMP environment, supporting tech transfers, process development, and operational readiness for cutting-edge cell therapy programs. Responsibilities of the MS&T Engineering Associate: * Receive and execute process tech transfers from internal and external teams * Implement cell therapy processes into GMP manufacturing operations * Assist in developing, executing, and documenting process development and scale-up experiments * Operate, maintain, and troubleshoot laboratory and manufacturing equipment * Author and revise technical documentation, including batch records, SOPs, and reports * Support preparation of CMC documentation for regulatory submissions * Collaborate cross-functionally to drive scientific rigor and operational excellence Qualifications of the MS&T Engineering Associate: * BS or MS in Biochemical Engineering, Chemical Engineering, Biomedical Engineering, or related discipline * 0-2 years of relevant experience (Engineering Associate) or 2-4 years (Senior Engineering Associate) * Experience supporting process development, manufacturing operations, or tech transfer activities * Strong interpersonal and communication skills with the ability to collaborate across scientific and manufacturing teams Compensation for the MS&T Engineering Associate: * Pay Rate: $35-38/hr. * Contract Opportunity * Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave (as required by law), and Paid Holidays Application Period: This position opens for applications on 12/9/2025 and will remain open for a minimum of 30 days from the posting date. Keywords: MS&T, tech transfer, GMP manufacturing, process development, scale-up, cell therapy, batch records, SOPs, CMC, iPSC-derived therapies, biotechnology #LI-JM1 #LI-ONSITE

Job Title Engineer, Process Division L'Oréal Dermatological Beauty Reports To: Senior Manager, Process Expert Who We Are: For more than a century, L'Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity. At L'Oréal Dermatological Beauty, our mission is to help everyone in their quest for healthy and beautiful skin. Our division is the world leader in dermo-cosmetics by adding health to beauty. Our brands portfolio includes CeraVe, La Roche-Possay, Vichy, SkinCeuticals offering a range of skincare and haircare products to respond to all expectations linked to beauty and health of the skin. What You Will Learn: Works independently to complete functional tasks as directed. Develop bulk manufacturing procedures to support new product launches and projects at plant and contract manufacturer. Act as a technical resource for the Unit of Production Bulk Processing Department. Problem solves difficult technical issues with robust, efficient and cGMP compliant solutions. * Participates and leads formula and process risk assessment in plant. Influence sound and technically robust solution in formula/process development with Pilot and UP. * Based on processes developed by our Corporate Pilot Labs, develop scaled-up bulk manufacturing procedures for new product launches, transfer, and formula renovations. * Conduct bench and pilot batches for new and existing formulas to gain an understanding of the bulk physical and chemical properties while trouble-shooting quality problems. * Manage and execute bulk processing and filling validation projects, including OTC validations, for new formulas and processes. * Assist with complex troubleshooting bulk related problems in both processing and packaging. Implement process procedure relevant improvements. Conduct activities that support bulk processing productivity and improvement projects. * Observe "Current Good Manufacturing Practices" (cGMP). * Support an effective, professional, and communicative work environment with the processing and other departments in the plant. * Maintain all data, records, and reports. * Maintain a safe, clean work environment and implement L'Oréal safety and environmental programs. * Moderate to intermittent supervision, Decisions made in this role have significant impact to plant processing & production * Perform other duties as necessary or required. Occasional overnight traveling is required What We Are Looking For: Required Qualifications: * Bachelor of Science degree in Chemical Engineering preferred, Chemistry and/or relevant scientific background. * Three to four years of experience in a relevant bulk manufacturing or process development department. * Familiarity and knowledgeable in batch manufacturing equipment and process. * Strong knowledge in MS Office. * Proven ability to organize, analyze and report data. What's In It For You: * Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan) * Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!) * Access to Company Perks (VIP Access to L'Oréal's Internal Shop for Discounted Products, Monthly Mobile Allowance) * Learning & Development Opportunities for Career Progression (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!) * Employee Resource Groups (Think Tanks and Innovation Squads) * Access to Mental Health & Wellness Programs Additional Benefits Information As Follows: Salary Range: $77,775 - $91,500 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level) Don't meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you're excited about this role but your past experience doesn't align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles! We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting [email protected]. If you need assistance to accommodate a disability, you may request an accommodation at any time. Our Safe Together Plan: Your safety is our highest priority. We will proceed with caution and adhere to enhanced protection standards to ensure our sites are safe for all employees. We must all operate with the shared responsibility for each other's health & safety in mind.

This role is responsible for but not limited to planning, designing and validating manufacturing processes, according to established engineering specifications. Main Responsibilities: · Support the lean-oriented Continuous Improvement Program at Steinway. This includes initiating and implementing methods changes and process improvements to reduce cycle times and cost while maintaining/improving quality. · Work with factory supervisors to keep production flowing and troubleshooting problems in the factory. · Develop time standards and make recommendations for process improvement. Support the implementation of the standard cost for fabricated items in the factory. · Develop and maintain workstations and plant layouts. · Support current Manufacturing system (MRP) by updating process routings and material usages. Create manufacturing reports to monitor the factory activities. · Develop and maintain operation descriptions, job descriptions and procedure manuals. Maintain and improve documentation for new and existing methods and procedures. · Due to changing requirements, the duties and responsibilities of the position may change over time. Requirements Qualifications, education and experience: · BS degree in Industrial or Mechanical Engineering required and 2+years of equivalent work experience in a manufacturing environment. · Strong organizational and interpersonal skills. · Strong written and verbal communication skills. · Ability to multi-task and prioritize. · Critical thinking skills and strong initiative to suggest and implement manufacturing changes/improvements. · Working knowledge of an industry standard MRP/ERP systems. · Familiar with the development of standard cost, cost benefit and break-even analysis. · Must have experience in technical writing, generating flow diagrams, developing operation descriptions and developing procedures. · Proficiency in Microsoft Office, MS Project, Visio, and Visual Basic. · Must have working knowledge of Auto CAD. The estimated annualized base salary range for this role is $65,000-$70,000. Compensation will vary based on skills and experience. New employees are eligible to participate in a robust benefits package on the first day including medical, dental, vision, FSAs, generous 401k contribution, paid holidays, vacation and sick leave, professional development, and more. Salary Description $65,000 - $70,000

Responsibilities will support the design, development, testing and operational phases of projects undertaken at Peraton Labs, the research and development arm of the Peraton Corporation. The successful candidate will work closely with a diverse team of engineering, scientific and technical staff to develop novel solutions in support of such projects. The Job Location is the Peraton Labs facility in Woodbridge, NJ. The successful candidate will possess the ability to work semi-independently in a small multi-disciplinary team utilizing their experience to participate in the analysis, design, prototyping, testing, and maturation of complex systems. Experience modeling and designing systems using tools that correctly represent components in the optical domain that ultimately comprise a field-deployable system is a critical capability for this role. Additional electrical, mechanical, and software modeling and design skills would be considered a plus. The ability to read, comprehend and generate professional quality design documentation is required. The successful candidate will be organized, detail oriented and able to take direction from senior optical engineers and other senior engineering staff. Duties and Responsibilities Include: Develop concepts and models of optical systems to facilitate lab testing, prototype development and software simulation Interact with vendors to specify and procure both custom and Commercial-Off-The-Shelf (COTS) optical components, incoherent light sources, lasers, detectors, camera systems, and mechanical mounting components Execute lab testing to validate designs and test and mature concepts Analyze designs to determine their efficacy in modeling environments such as Zemax, 3DOptix and MODTRAN Generate supporting documentation and reports that represent the system under test, objectives, and results in a concise and understandable manner Summarize and present test results for review by Peraton engineers and customers. Qualifications Required Education and Work Experience: The successful candidate has diversified knowledge of principles and practices in engineering. A degree in Optical or specialized Mechanical Engineering is required with the following experience levels: BS with 2 or more years of experience MS with 1 or more years of experience (Experience must be with relevant work in a professional setting) Required Skills/Attributes: Experience with lab measurement equipment such as optical power meters (thermopiles), photodiodes, oscilloscopes, waveform generators, digital volt meters Experience with lasers as used in lab environments. Understanding and executing safe laser operation using correct Personal Protective Equipment and implementing appropriate laser hazard mitigation methodologies Experience setting up and executing tests using optical engineering equipment such as steering mirrors, beamsplitters, lenses, filters, collimators, diffusers, detectors, etc Experience drawing complete and representative optical models and layouts Proficient in writing technical documentation in MS Word and presenting it in MS PowerPoint Ability to be onsite five days a week when required U. S. Citizenship and ability to obtain a DOD Secret clearance. Desired Skills/Attributes: Knowledge of optical material properties across various spectral regions Knowledge of appropriate detector materials for various spectral regions Ability to conduct a laser hazard analysis. Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Associate Process Engineer/Scientist- Drug Product, Biologics Manufacturing Science and Technology Key responsibilities include • Execution of post-market process change activities/experiments through partnership with R&D development assets • Responsible for characterizing, optimizing and troubleshooting product and manufacturing processes of parenteral dosage forms. • Work with R&D and manufacturing sites to design and execute experiments to support product robustness, new technology implementation, and/or manufacturing investigations • Serve as technical resource to other functions, providing expertise on the product and its process. • Effectively represent biologics drug product manufacturing science and technology in various internal and external teams and committees on development, technology transfer, manufacturing, specifications, process validations and launch. • Provide assistance to sites globally to resolve significant quality events and manage complex change controls. Qualifications • Bachelor's degree in relevant science or engineering discipline (chemistry, pharmaceutical sciences, pharmacy, biology, chemical engineering). • Master or advanced degree preferred. • Minimum of 3-5 years of experience in the Pharmaceutical or Biotechnology industry in product and process development and commercialization in a global environment. Key Skills and Experience • Hands-on experience in the laboratory and in-depth understanding in sterile and liquid products, particularly biologics, formulation development, analytical methods, commercial manufacturing, and their unit operations. • In-depth understanding of Quality by Design (QbD), Design of Experiments (DOE), multivariate analysis, PAT, critical process and material attributes and CQA's. • Working competency of Statistical Process Control and related tools (JMP/MiniTab/SAS). • Able to design and execute scientifically sound, hypothesis driven experiments • Skilled in writing and reviewing complex study plans and scientific reports. • Possess high level of familiarity with sterile product processing equipment and manufacturing facilities. • Overall knowledge of parenteral technology: aseptic processing, sterilization, isolator processing, lyophilization, pre-filled syringe operations, etc. • Strong understanding of project management systems and tools • Six Sigma Green/Black Belt certification desirable Additional Information Interested candidates may contact at "Praveen.arora(@)artechinfo.com or ************

Process Engineer reports to the Manager of Technical Services and plans, executes and functionally directs Process/Cleaning Validation/Study assignments and projects, which require sound pharmaceutical/engineering skills and independent judgment. Works as a team member, educates internal partners on the projects, monitors and executes. Maintains effective and cooperative relationships with all departments within and outside the organization. Managing the post approval projects. Essential Functions: Prepare validation protocols & reports for manufacturing process and cleaning process qualification, data analysisand prepare reports; execute the manufacturing process and cleaning process qualification/validation/study. Managing the post approval projects. coordinating with cross functional Teams and ensuring the timely completion of projects. Analyzes statistical data, products or functional specifications to determine conformance with standards andestablished quality requirements Coordinate/oversee the development of new processes or troubleshoot existing ones Assist in deviation/investigations to identify root causes and define corrective and/or preventative actions (CAPA) & assist in various audits Additional Responsibilities: Initiation of Change Controls and Planned Deviations when required Education: Bachelors Degree (BA/BS) Pharmaceutical/Biomedical Engineering - Required Master Degree (MS/MA) Pharmaceutical/Biomedical Engineering - Preferred Experience: 2 years or more in Pharmaceutical/Manufacturing Industry Skills: Excellent verbal and written communication skills - Advanced Proficiency in MS Word/Excel/ PowerPoint/MS project - Advanced Specialized Knowledge: Basic Analytical Knowledge desirable. In-depth knowledge of manufacturing equipment and processes for Solid Oral, Medical Device, Transdermal, Topical and Liquid Orals. The salary for this position ranges from $80,000 to $95,000. In addition, Amneal offers a short-term incentive opportunity, such as a bonus or performance-based award, as well as a long-term incentive award, such as restricted stock units, with this position within the first 12 months. Amneal ranges reflect the Company's good faith estimate of what Amneal reasonably believes that it will pay for said position at the time of the posting. Individual compensation will ultimately be determined based on a variety of relevant factors, including but not limited to, qualifications, experience, geographic location and other relevant skills. At the heart of our Total Rewards commitment is a comprehensive, flexible and competitive benefits program for eligible positions that enables you to choose the plans and coverage that meet your personal needs. This includes above-market, diverse and robust health and insurance benefits to meet the varied needs of our employees as well as a significant 401(k) matching contribution to help our employees save for retirement. We also promote employee well-being with programs that help you enjoy your career alongside life's many other commitments and opportunities.