Blockchain/ Smart Contract Engineer
Manufacturing engineer job in New York, NY
Join our Digital Assets Engineering team to design, develop, and secure smart contracts powering tokenization, custody, and settlement solutions. You will work on cutting-edge blockchain integrations within a regulated financial environment, ensuring scalability, security, and compliance.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $90 - $99 / hr. w2
Responsibilities
• Design and implement secure, efficient smart contracts for tokenization and digital asset workflows
• Collaborate with product and architecture teams to integrate contracts with EVM-compatible chains and enterprise systems
• Conduct code reviews, enforce best practices, and ensure compliance with internal security standards
• Implement automated testing frameworks for smart contract deployments
• Work closely with cybersecurity teams to address vulnerabilities and engage in external security vendor audit of our smart contracts
• Optimize performance and scalability for high-volume transaction environments
Experience Requirements
• 3+ years of development experience in blockchain and smart contracts
• Proficiency in Solidity and smart contract development
• Experience with Ethereum, Hyperledger Besu, and EVM-based platforms
• Strong understanding of tokenization standards (e.g., EIP-7702, EIP-712, ERC-1451)
• Knowledge of cryptographic principles, MPC, and secure key management
Preferred Experience
• Financial services or regulated environments
• Integration with custody and settlement systems
• Agile development and DevSecOps practices
• Java
• Spring Boot
Education Requirements
Preferred Certifications
• C4 Ethereum Developer
• Cyfrin Smart Contract
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact ********************.
Job ID: JN -122025-104583
Senior Data Product Engineer
Manufacturing engineer job in New York, NY
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.
Cloud Infrastructure Site Reliability Engineer (SRE)
Manufacturing engineer job in Berkeley Heights, NJ
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
Product Engineer
Manufacturing engineer job in Wayne, NJ
About Us:
Ideavillage is a leading direct-response TV and consumer products marketing company that designs, sources, markets and sells high quality products in multiple segments, including women's and men's apparel, accessories, health and wellness and beauty. Our products are distributed to over 60,000 stores including major retail chains such as Walmart, Target, CVS, Walgreens, and Dick's Sporting Goods. Ideavillage has launched well-known brands which include Copper Fit, Micro Touch, Finishing Touch, and Flawless. The corporate focus is to expand its successful product launches into long-term brands.
Job Description:
IdeaVillage is seeking a hands-on Product Engineer with an Electrical or Mechanical Engineering background to support our growing portfolio of consumer products. This role will work across the full product lifecycle - from concept and prototyping through compliance, production, and launch.
The ideal candidate is technical, detail-oriented, and comfortable working with overseas factories, particularly in Asia. You will collaborate closely with Product Development, QA, Supply Chain, and Leadership to bring innovative, high-quality products to market.
Key Responsibilities
Support the full product development lifecycle, from concept and prototyping through testing, production, and shipment
Evaluate product samples for performance, durability, manufacturability, and compliance considerations
Troubleshoot and resolve mechanical and/or electrical issues using Root Cause / Corrective Action methods
Assist with regulatory compliance, safety testing, and certification (UL, CSA, Intertek, FCC, CE, etc.)
Recommend design, component, material, and process improvements to enhance product quality, performance, and cost
Collaborate with cross-functional teams and work closely with Asia-based factories and suppliers to support development and production
Provide technical support during manufacturing and scale-up
Document test processes, results, and engineering changes in clear technical reports
Required Qualifications
Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
3-5 years technical experience in a manufacturing or product development environment
Familiarity with regulatory agencies and industry standards (UL, CSA, Intertek, FCC, CE, etc.)
General understanding of Root Cause / Corrective Action (RCCA)
Strong written and verbal communication skills (technical reporting required)
Detail-oriented with strong analytical and problem-solving abilities
Proven ability to manage multiple projects and work cross-functionally
Bonus Experience
Experience with small appliances, grooming tools, vibration devices, motors, or battery-powered products
Experience working with overseas factories (China, Vietnam, Thailand, etc.)
Experience and working knowledge of common test equipment (e.g., oscilloscopes, multimeters, power supplies, electric load, current sensors, signal generators, spectrum analyzers, and LISNs)
Travel Requirement
Willing to travel domestically and internationally 3-5 times per year to support projects and factory engagements
Machine Learning Engineer (NLP)
Manufacturing engineer job in New York, NY
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.
C# Engineer/Developer
Manufacturing engineer job in Florham Park, NJ
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
Site Reliability Engineer
Manufacturing engineer job in Jersey City, NJ
*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
Lead Machine Learning Engineer -ML/AI
Manufacturing engineer job in New York, NY
Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers.
In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.
In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.
You will:
Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
Fine-tune, develop and evaluate machine learning and foundation models,
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
Leverage a broad stack of Open Source and SaaS AI technologies.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
Retrain, maintain, and monitor models in production.
Construct optimized data pipelines to feed ML models.
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.
The Ideal Candidate:
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production
Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value.
Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team.
Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions.
Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities.
A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact.
Basic Qualifications:
Bachelor's degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Go, Scala, or Java
At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Preferred Qualifications:
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
6 years of experience designing, developing, delivering, and supporting AI services at scale
3 years of experience developing AI and ML algorithms or technologies using Python
2 years of experience with Retrieval Augmented Generation (RAG)
Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure
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.
Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer
McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer
New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer
Richmond, VA: $175,800 - $200,700 for Lead 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 . click apply for full job details
Manufacturing Engineer
Manufacturing engineer job in Princeton, NJ
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
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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.
Manufacturing Yield Engineer
Manufacturing engineer job in New York, NY
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.
Manufacturing Intern
Manufacturing engineer job in East Hanover, NJ
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
Auto-Apply2026 Summer Internship - Manufacturing Excellence, Princeton, NJ
Manufacturing engineer job in Princeton, NJ
**2026 Internship Program - Intern Manufacturing Excellence** **Princeton, NJ** If you're looking to grow your network and gain new skills within a global company, an internship with dsm-firmenich could be the program for you. Our summer internships provide students with opportunities to work on real business projects and gain invaluable professional experience. As an intern, you'll have exposure to many different areas of global flavors, fragrances, and ingredients organization that works with some of the biggest brands in the world, along with opportunities to network with your peers and leadership. From engaging events to mentoring opportunities and valuable resume-building experiences, we're committed to preparing you for a fulfilling and enduring career, both at dsm-firmenich and beyond. We are currently looking for an Intern Manufacturing Excellence, at our Plainsboro, New Jersey office.
The 2026 dsm-firmenich Summer Internship Program will begin June 1st and run through August 14.
Our standard working hours are Monday - Friday (37.5 / 40 hours per week)
Join our global team of Group Operational Excellence, Manufacturing Competences team as an intern and gain invaluable professional experience. You will be part of IMPACT (Improvement Program for Accelerated Continuous Transformation) which enables value creation and delivery. Enhance your skills and contribute to real projects that have visibility across Operations through a Summer internship. Come discover all we have to offer!
At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Customers & Communities but also drive value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated.
**Your Key Responsibilities:**
+ Validate and manage a portfolio of Operational Excellence Belt certification and progress information across all 6 business units, globally.
+ Connect key Site stakeholders on active OE projects and validate progress of multiple projects in the Americas.
+ Co-develop and transfer capability building material into a new 'LearnNow' platform using AI based content generation toolkit.
+ Support the deployment of the IMPACT program competences and track participation in capability building.
+ Assist in developing a training event and enrolment management tool using Office 360 tools.
+ Attend Continuous Improvement network meetings and follow up on action items (Global)
**We Bring:**
Opportunities for students to develop skills and expand their professional connections within a company where sustainability is not just a slogan but is at the core of our strategy and purpose. We strive to create inclusive communities within our organization where every employee is equally valued and respected, regardless of their background, beliefs, or identity. Additionally, we provide an environment that encourages curiosity and an open mindset, allowing for personal and professional growth. Together, we can learn from one another to drive progress and create a better future.
**You Bring:**
+ Currently working on completion of a Bachelor's degree in business, education, industrial, management or similar field.
+ Candidates must be available to work full-time beginning on June 1, 2026 - August 14, 2026.
+ Application knowledge on MS Office 360 Apps will be an advantage.
+ Must be a self-starter and able to work independently.
+ Excellent communication and interpersonal skills.
+ Strong organizational, problem-solving, and analytical skills.
The hourly rate for this position is $23.00 - $26.00 per hour. Compensation will be dependent on factors that include location, education, training, specific skills, and years of experience.
**At the end of this internship, you will:**
+ Obtain a firm foundation for the rest of your career .
+ Apply concepts learned at school into action .
+ Acquire a wide range of skills that you can utilize anywhere .
+ Engage with global stakeholders and have Cross-cultural collaboration .
+ Learn Lean Foundation and embrace A3 thinking.
**About dsm-firmenich:**
At dsm-firmenich, we don't just meet expectations - we go beyond them.
Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.
From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.
And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future.
Because real progress only happens when we **go beyond, together** .
**Inclusion, belonging and equal opportunity statement:**
At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.
We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve.
We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.
And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work.
**Agency statement:**
We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.
Manufacturing Engineer
Manufacturing engineer job in Trenton, NJ
RBC Bearings is a well-known international manufacturer and marketer of highly engineered precision plain, roller and ball bearings. We have been providing bearing solutions to our customers since 1919. Over the past ten years, under the leadership of our current management team, RBC Bearings has significantly broadened our end markets, products, customer base and geographic reach. We currently have 31 facilities, of which 28 are manufacturing facilities in five countries. Our selling efforts are supported by a global network of sales engineers, distributors and authorized agents.
JOB TITLE/LOCATION:
Manufacturing Engineer - West Trenton, NJ
Normal Working Hours: 7 am to 4 pm
DESCRIPTION:
The Manufacturing Engineer develops, evaluates, and improves industrial manufacturing methods, utilizing knowledge of product design, materials and parts, fabrication processes, tooling and production equipment capabilities, assembly methods, and quality control standards.
Roles and Responsibilities:
Analyzes and plans work force utilization, space requirements, and workflow, and designs layout of equipment and workspace for maximum efficiency.
Estimates production times, staffing requirements, and related costs to provide information for management decisions.
Communicates manufacturing capabilities, production schedules, or other information to facilitate production processes.
Confers with vendors in order to determine specifications of products and arrange equipment, material purchase, and parts.
Evaluates products based on specifications and quality standards.
Performs work under minimal supervision.
Handles complex issues and problems, and refers only the most complex issues to higherâlevel staff.
Provides leadership, coaching, and/or mentoring to a subordinate group.
May act as a "lead" or firstâlevel supervisor.
Other duties as assigned.
Required Education, Skills and Experience:
Bachelor's degree, and 4â6 years of experience.
Possesses comprehensive knowledge of subject matter.
Oral and written communication skills.
Ability to meet deadlines.
Ability to work independently as well as part of a team.
Problemâsolving skills.
Analytical thinking skills.
Design expertise.
Leadership skills.
Preferred Education, Skills and Experience:
Experience/working knowledge of manufacturing processes
Intermediate materials, metal and heat treating knowledge
Working knowledge of press operation, grinding, and lathe equipment
We offer competitive compensation and excellent benefits including Medical, Dental, and company matched 401k plan.
RBC Bearings is an Equal Opportunity Employer, including disability and protected veteran status.
Engineer, Process
Manufacturing engineer job in Somerset, NJ
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.
Manufacturing Industrial Engineer
Manufacturing engineer job in New York, NY
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.
Engineering Associate - Manufacturing Science & Technology (MS&T)
Manufacturing engineer job in Branchburg, NJ
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
Optical Engineer
Manufacturing engineer job in Woodbridge, NJ
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.
Auto-ApplyProcess Engineer
Manufacturing engineer job in Newark, NJ
Primary Duties & Responsibilities
Process Development: Apply engineering principles to sustain and improve current manufacturing processes
Optimization: Monitor, optimize and streamline manufacturing processes including production flow, manpower requirements, assembly methods and production equipment. Continuously analyze and improve processes to improve yield, enhance productivity, reduce waste, and lower costs.
New Production Introduction: Lead the introduction of new products into the process, ensuring smooth transitions from prototype to full-scale production.
Tooling and Equipment: Select and implement appropriate tooling and equipment for operations, ensuring compatibility and efficiency.
Quality Assurance: Establish and maintain quality control standards and procedures to ensure products meet or exceed specifications. Monitor manufacturing areas to proactively assess product quality and ensure compliance with ISO guidelines and procedures
Troubleshooting: Identify and resolve issues related to processes, equipment, and tooling.
Documentation: Create and maintain detailed documentation of processes, including work instructions, process flows, and control plans.
Collaboration: Using Lean/Kaizen methods, monitor and improve the efficiency, output and safety of manufacturing processes through observations and measurements as well as by collecting and interpreting data from databases, hard copies and other technical and manufacturing personnel
Training: Provide training and support to production staff on best practices.
Continuous Improvement: Lead and participate in continuous improvement initiatives to enhance overall manufacturing performance. Using Lean/Kaizen methods, monitor and improve the efficiency, output and safety of manufacturing processes through observations and measurements as well as by collecting and interpreting data from databases, hard copies and other technical and manufacturing personnel
Education & Experience
Bachelor's degree in Engineering required. Chemical, Mechanical, Manufacturing, or Material Science Engineering preferred
Minimum 3 years of process engineering experience in a similar industry.
Excellent problem-solving and analytical skills.
Skills
Experience using materials processing equipment such as furnaces, ovens, programmable controllers, powder mixing, foundry tools, etc.
Experience with materials characterization tools and methods for microscopy, chemistry, structural properties, thermal properties, etc.
Experience with inspection equipment, including CMM, hand tools, visual tools, etc.
Working knowledge of design, inspection and process control software (CAD, CMM, PLC)
Working knowledge of data analysis tools (SPC, MiniTab and DoE)
Experience with problem solving and resolution (8D, fishbone, etc.)
Demonstrated ability to achieve results independently or working with others
Hands-on and very direct approach to problem solving
Excellent interpersonal and communication skills
Experience with networked PC based computer systems (MS Office, spreadsheets, data bases, graphics, Email, MRP systems, etc.)
Experience in ceramic fabrication preferred
Excellent communication and interpersonal skills
Commitment to continuous improvement
Proactively takes actions to address customer needs and issues.
Regularly works independently with minimal supervision to achieve goals and objectives.
Knowledge of Lean Manufacturing principles and Six Sigma methodologies is a plus.
Working Conditions
Shopfloor, laboratory, and office environments.
Occasional travel may be required.
Physical Requirements
Ability to lift and carry up to 25 pounds.
Able to sit, stand, bend, squat and walk about the facility.
Walk of uneven and slippery surfaces
Ability to work at a computer for extended periods.
Safety Requirements
All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.
Quality and Environmental Responsibilities
This position may be responsible for the execution and maintenance of the ISO 9001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.
Culture Commitment
Ensure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.:
Integrity - Create an Environment of Trust
Collaboration - Innovate Through the Sharing of Ideas
Accountability - Own the Process and the Outcome
Respect - Recognize the Value in Everyone
Enthusiasm - Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
To conform to U.S. Government export regulations (ITAR), applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8. U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State."
Auto-ApplyControls Automation Engineer
Manufacturing engineer job in New York, NY
The Controls/Automation Engineer will play a strategic and high-impact role in advancing The Jackson Laboratory's JMCRS (Jackson Mice & Clinical Research Services) operations and broader institutional initiatives. This position is central to the success of a major automation initiative in collaboration with the New York Stem Cell Foundation (NYSCF), requiring not only deep technical expertise but also strong interpersonal and project coordination skills.
The engineer will lead the design and integration of automated systems and robotics that improve operational efficiency, reduce ergonomic risks, and address workforce challenges. The ideal candidate will bring hands-on experience with controls and automation in laboratory environments, including familiarity with lab instrumentation, robotics, and regulated workflows.
This role will apply a systems-thinking approach to develop holistic, scalable automation solutions that support research, production, and innovation across the organization. The engineer will work cross-functionally with teams across JMCRS and Research Services to ensure solutions are aligned with JAX's scientific and operational goals.
Success in this role will require:
* Clear and proactive communication with internal and external stakeholders.
* Collaborative problem-solving across engineering, operations, & scientific teams.
* Adaptability in dynamic, multi-site environments.
* Ownership and accountability for high-impact deliverables.
The successful candidate must be prepared to engage intensively with NYSCF stakeholders, spending 60-80% of their time on-site in New York City during the first half of 2026 to ensure successful implementation and alignment with project goals. In the second half of 2026, travel may be up to 20% to NYSCF for continued support and optimization as well as other sites for additional projects.
The salary range is $92,192 - $133,678. Salary will be determined based on qualifications and experience.
Key Responsibilities (What you contribute):
* Design, develop, and implement automation systems and robotics across JMCRS, Research Services, and in collaboration with NYSCF.
* Develop and validate liquid handling methods across diverse instrumentation (Hamilton, Agilent, Dynamic Devices, etc.).
* Create custom software solutions (macros, scripts, dashboards) to complement automated processes.
* Integrate automation platforms with Laboratory Information Management Systems (LIMS) and other data systems.
* Troubleshoot and maintain automation systems to ensure reliability and minimal downtime.
* Collaborate with cross-functional teams (biologists, software engineers, data scientists) to identify automation opportunities and define system requirements.
* Document system designs, procedures, and validation protocols.
* Lead or co-lead automation projects, including planning, budgeting, and vendor coordination.
* Evaluate and recommend emerging automation technologies and tools.
* Develop training materials and provide technical guidance to staff on automation systems.
* Ensure compliance with institutional safety standards and regulatory requirements.
* Apply Lean or Six Sigma methodologies to drive continuous improvement in automated processes.
Minimum Qualifications:
* Bachelor's Degree in Mechatronics, Electrical Engineering, Mechanical Engineering, or a closely related field with a focus on automation systems, robotics, or industrial controls.
* At least 5 years of relevant engineering experience developing and maintaining automated laboratory systems, including robotic instrumentation and liquid handling platforms.
* Certification in automation or robotics (e.g., ISA Certified Automation Professional (CAP), Certified Robotics Engineer (CRE), Certified Control Systems Technician (CCST), etc.).
* Programming experience in Python, C/C++, or structured text, with emphasis on robotic instrument and liquid handler programming (Hamilton, Agilent, Dynamic Devices) and API-based integrations for lab automation.
* Proficiency in PLC programming, HMI development, and industrial robotics, including integration with Laboratory Information Management Systems (LIMS) and experience with custom automation software solutions.
* Experience integrating automation platforms with LIMS and data pipelines.
* Strong understanding of control systems, automation hardware, and system integration.
* Excellent troubleshooting and problem-solving skills in technical environments.
* Familiarity with safety and ergonomic standards in automation design.
* Experience with vision systems, and data acquisition tools.
* Knowledge of Lean Manufacturing or Six Sigma principles.
* Experience working in GMP or regulated laboratory environments.
Preferred Qualifications:
* Master's Degree.
* 10+ years of relevant engineering experience.
* Certification in Lean or Six Sigma (green belt level).
* SolidWorks or AutoCAD Professional Certification.
* Proficiency in MS Project or similar software.
* Experience with programming robotic instruments/liquid handlers and custom software development.
* Familiarity with CAD, microcontroller programming, and 3D printing for custom fixtures.
* Experience with robotics, motion control, or mechatronic systems.
#CA-DS5
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit ************
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
Auto-ApplyProcess Engineer
Manufacturing engineer job in Piscataway, NJ
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.
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