Engineering Jobs in Upper Montclair New Jersey
85 positions found — Page 2
Engineering Project Managers
Travel: 80% (US-based)
Openings: 5
Pay Rate: $50-60/hr.+
Payment Schedule: Weekly
Benefits: Medical, dental, vision
Start Date: 2 weeks
Interview Process: 1 virtual
Duration: 6-month contract, likely extensions
Must Haves
- 4+ years experience within project management relevant to facilities (controls, industrial or electrical)
- Experience managing a high volume of projects with quick turn around
- Strong organizational skills relevant to tracking project timelines, budgets, etc.
- Cross functional collaboration skills to effectively drive progress
- Technology adept
- Adaptable to change and innovation
Plusses
- PMP
- Bachelor's degree specific to engineering
- Experience with conveyor systems
A client of Insight Global in the retail/technology industry is seeking Project Managers to assist with an initiative to update, upgrade & improve their facilities across the country. This will include general building updates as well as the upgrading of manual systems in warehouses & delivery centers, to automated systems. The goal is to improve operational efficiency within the locations make processes faster, safer and more efficient. We are looking for hands on project managers with relevant backgrounds to engineering, facilities, warehouse and maintenance related work who aren't afraid to get super involved and can direct and oversee the work being done to ensure timely and accurate completion. This is a fast paced role and requires a high level of organization skills to appropriately communicate with internal and external stakeholders about project timelines, budgets and any escalations that may arise. This person will be responsible for tracking projects in relevant software and updating playbooks accordingly as tasks are completed. This person will be in the field 80-100% of the time, executing on projects and will often be working odd hours or an occasional weekend to complete the work. Travel will primarily be regionally based, but could involve travel outside of the assigned region. Projects will focus on general building upgrades and increase in complexity as trust is earned. All travel time is paid and expenses are reimbursed but will be fronted on a personal credit card. A credit card limit of $6,000 or higher is required to appropriately support the travel, but expenses can be submitted weekly for reimbursement. We are seeking individuals within 30 minutes of a major airport in OH, IN, MI & KS.
Position: Senior Semantic Engineer / Ontology Engineer
Location: East Hanover, NJ (Hybrid - 3x/week onsite)
Duration: 6 Months (extendable)
DESCRIPTION:
We are hiring a Senior Semantic Engineer / Ontology Engineer to lead the design of healthcare-grade ontologies and semantic layers that power trusted analytics, interoperable data products, and AI-ready knowledge systems. You will apply metrics-first semantic modeling and ontology engineering practices aligned to the principles such as clear semantics, reusable meaning, governance-by-design, and measurable business outcomes. You'll work across RDF and property graph paradigms and Snowflake semantic layer.
Key Responsibilities:
• Design and evolve healthcare ontologies and semantic models to standardize meaning across domains (clinical, patient, provider, claims, access, quality, outcomes).
• Design data products that are AI-ready and leverage ontologies and semantic models
Build metrics-first semantic layers:
• Define canonical metric definitions, dimensions, hierarchies, and calculation rules.
• Ensure metrics are explainable, auditable, and consistently implemented across products and teams.
• Model knowledge in both RDF (RDFS/OWL) for formal semantics and interoperability.
• Property graphs for traversal-heavy use cases and relationship analytics.
Develop and maintain semantic artifacts:
• Concept schemes, entity models, vocabularies, mappings, and documentation.
• Alignment patterns between ontologies, data products, and downstream analytics/AI use cases.
Implement semantic integration patterns:
• Entity identity resolution, entity linking, terminology harmonization, and enrichment workflows.
Partner with platform teams to operationalize semantics in Snowflake:
• Enable semantic access patterns that support analytics and AI applications.
• Contribute to solutions that leverage Snowflake Cortex for semantic enrichment and assisted discovery (within established governance constraints).
Collaborate with governance and architecture stakeholders to embed:
• Versioning, stewardship workflows, quality checks, and change management for semantic assets.
• Guide best practices and mentor engineers/analysts on ontology engineering, graph modeling, and metrics-first design.
Required Qualifications
• 8+ years in semantic engineering, ontology engineering, knowledge graph development, or closely related roles.
• Demonstrated experience in healthcare data domains (payer/provider, clinical, claims, RWE, quality, outcomes, etc.).
• Strong hands-on ontology engineering experience: RDF, RDFS, OWL, SPARQL and/or graph query experience
• Ontology modularization, alignment, and lifecycle management
• Experience with property graph modeling (e.g., Neo4j-style patterns) and translating between RDF and property graph representations when needed.
• Proven delivery of a metrics-first approach:
• Canonical KPIs/metrics definitions, dimensional modeling alignment, semantic consistency across BI and data products.
• Experience working with modern cloud data platforms, especially Snowflake, and exposure to Snowflake Cortex for AI-enabled workflows.
• Strong stakeholder communication skills: able to translate clinical/business intent into precise semantic definitions and usable artifacts.
Preferred Qualifications
• Familiarity with healthcare interoperability and terminology standards (e.g., HL7/FHIR, SNOMED CT, LOINC, ICD-10) and how to map/align them to enterprise semantics.
• Experience with semantic tooling and practices, validation rules, ontology testing, and CI/CD for semantic assets.
• Experience deploying semantic context layers
QA / Quality Engineering Delivery Lead
Location : Secaucus, NJ. (3 days onsite)
Position type: Contract
Experience required:
12 - 15 years of experience in QA / Quality Engineering lead with retail domain.
Role Overview
We are looking for a QA / Quality Engineering Lead who can own end-to-end quality delivery while driving QE transformation and continuous improvement. The role requires a tool-agnostic automation mindset, strong leadership skills, and experience balancing BAU delivery with modernization initiatives, including AI-led quality practices.
Key Responsibilities
- Lead QA/QE teams and own quality outcomes across releases and programs
- Drive day-to-day BAU delivery (planning, execution, defect management, release readiness)
- Conduct QE assessments and define continuous improvement / transformation roadmaps
- Drive test automation strategy and optimization across UI, API, and E2E testing
- Lead adoption of AI-assisted QE practices to improve speed and effectiveness
- Partner with Product, Engineering, and DevOps teams to embed quality early
- Provide clear quality status, risks, and metrics to stakeholders
Required Skills & Experience
Must Have
- 10–14 years of experience in QA / Quality Engineering
- Experience leading QA teams and managing delivery in Agile / DevOps environments
- Strong hands-on experience across test automation tools, including:
- Selenium, Playwright, Cypress, or similar frameworks
- Exposure to Tricentis Tosca (one of the tools, not mandatory focus)
- Experience with API and integration testing
- Proven experience performing QA/QE assessments and defining improvement roadmaps
- Ability to manage BAU delivery alongside transformation initiatives
Good to Have
- Experience with AI-led or intelligent QE practices
- Experience driving QE transformation or modernization programs
- Exposure to cloud-based testing and CI/CD pipelines
- Experience working with distributed (onshore/offshore) teams
Why Zensar?
We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!
QA / Quality Engineering Delivery Lead
Location: Secaucus, NJ (Hybrid – 3 days onsite)
Employment Type: Full-time / Contract
Experience: 12–15 years
Domain: Retail
Role Overview
We are seeking a QA / Quality Engineering Delivery Lead to own end-to-end quality delivery while driving QE transformation and modernization initiatives, including AI-augmented testing and intelligent automation frameworks. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practices.
Key Responsibilities:
- Own quality outcomes across programs, releases, and product lines
- Lead day-to-day BAU QA delivery, including:
- Test planning & execution
- Defect management
- Release validation and go/no-go readiness
- Drive QE assessments and build continuous improvement & transformation roadmaps
- Define and execute modern test automation strategies across:
- UI, API, Mobile, and End-to-End (E2E) automation
- Lead AI-augmented testing initiatives, including:
- GPT/LLM-based test case generation
- Intelligent test design and risk-based testing
- Self-healing automation and test optimization
- Promote shift-left and shift-right testing by partnering with:
- Product Management
- Engineering
- DevOps and SRE teams
- Embed quality early in the SDLC through CI/CD and cloud-native testing
- Establish and track quality metrics, KPIs, and dashboards
- Provide clear visibility into quality status, risks, and dependencies for senior stakeholders
- Mentor QA/QE teams and foster a continuous improvement and innovation culture.
Required Skills & Experience
Must Have
- 10–14 years of experience in QA / Quality Engineering
- Proven leadership experience managing QA/QE teams in Agile & DevOps environments
- Strong hands-on expertise in test automation frameworks, including:
- Selenium, Playwright, Cypress (any one or more)
- Exposure to Tricentis Tosca (preferred but not mandatory)
- Solid experience in:
- API & integration testing
- Test data management
- Defect lifecycle management
- Demonstrated experience conducting:
- QE maturity assessments
- Automation ROI analysis
- QE transformation planning
- Ability to manage BAU delivery alongside modernization and innovation initiatives
- Strong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)
AI-Augmented & Intelligent QE (Mandatory Focus)
- Hands-on or leadership experience with AI-driven QE practices, including:
- GPT / LLM-based test case & test scenario generation
- AI-assisted exploratory testing
- Intelligent test selection, prioritization, and impact analysis
- Experience building or adopting intelligent automation frameworks with:
- Self-healing capabilities
- Dynamic locators & adaptive scripts
- Familiarity with:
- Generative AI usage in QE pipelines
- Prompt engineering for test generation
- Ability to operationalize AI in QE, not just PoCs
Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.
All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.
Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:
- Prepare microbiological media, reagents, and test materials required for routine laboratory testing.
- Perform microbiological analyses on raw materials, finished products, environmental monitoring samples, and water systems.
- Practice and maintain strict aseptic techniques and laboratory disinfection procedures per SOPs.
- Ensure accurate, timely, and compliant documentation of laboratory activities in accordance with cGMP and data integrity standards.
- Maintain laboratory records including notebooks, electronic systems, and LIMS documentation.
- Perform quality assurance and laboratory monitoring activities, including:
- Media preparation and qualification
- Environmental and laboratory area monitoring
- Incubator and equipment monitoring
- Instrument calibration and maintenance
- Sterilization and cleaning verification
- Maintain a clean, organized, and inspection-ready laboratory work environment.
Qualifications
- Bachelor’s degree in Microbiology, Biology, or related life sciences field
- 0–2 years of laboratory experience (internship or academic laboratory experience acceptable)
- Basic understanding of microbiological techniques and scientific principles
- Familiarity with cGMP or regulated laboratory environments preferred
- Strong attention to detail and ability to maintain accurate laboratory documentation
School Bus & Fleet Mechanic (Class A/B/C) Belair Services – Orange, NJ Salary: Up to $100,000 per year (based on experience) Sign-On Bonus: $1,000 Belair Services is currently hiring experienced School Bus and Fleet Mechanics in Orange, New Jersey .
We are seeking a Class A, B, or C Mechanic with strong experience in light and medium-duty fleet vehicles , diesel and gasoline systems, and preventive maintenance.
This role is ideal for technicians with fleet maintenance, school bus repair, diagnostic troubleshooting, and electrical system experience .
ASE certification is recommended.
MUST HAVE 3 years of experience as a Light or Medium Duty Fleet Mechanic Compensation & Benefits Earn up to $100,000 per year (dependent on experience and expertise) $1,000 sign-on bonus Medical benefits available 401(k) retirement plan participation $500 employee referral bonus Paid vacation Paid sick leave Paid time off (PTO) Growth and advancement opportunities Clean and safe work environment Company-paid certification training and classes Supportive and energetic team atmosphere Job Summary The Fleet Mechanic / School Bus Mechanic is responsible for preventive maintenance, diagnostics, and repairs on light and medium-duty fleet vehicles and school buses .
The technician will troubleshoot mechanical and drivability issues, perform inspections, and assist other technicians when necessary.
This role requires strong mechanical skills, knowledge of diesel and gasoline engines , and familiarity with DOT inspection procedures for school buses (preferred).
Key Responsibilities Vehicle Diagnostics & Repairs Diagnose mechanical malfunctions and perform vehicle repairs on fleet vehicles and school buses.
Inspect, test, adjust, and repair systems including: Steering systems Electrical systems Cooling systems Lubrication systems Brake systems Drivetrains Suspensions Power steering units Clutches Transmissions Engine components Temperature and fuel regulation systems Perform engine adjustments, testing, and rebuilds when required.
Preventive Maintenance Perform preventive maintenance inspections (PMIs) on fleet vehicles.
Ensure vehicles meet federal, state, and local safety regulations .
Assist with DOT inspection procedures for school buses.
Repair Oversight & Documentation Obtain proper approval for major repairs before releasing vehicles.
Record time spent, parts used, and services performed.
Identify additional maintenance needs and escalate repairs when necessary.
Fleet Support Perform road calls and roadside repairs when required.
Assist and guide other technicians on complex repairs.
Maintain a clean, organized, and safe work area .
Team & Work Ethic Work independently with minimal supervision.
Demonstrate strong troubleshooting and decision-making skills.
Continuously develop mechanical knowledge and technical skills.
Minimum Requirements 3 years of experience as a Light or Medium Duty Fleet Mechanic Experience working on fleet trucks, buses, or commercial vehicles Must qualify as a Class A, B, or C Mechanic Strong diagnostic, electrical, and A/C repair skills Technical knowledge of diesel engines and gasoline systems Ability to perform preventive maintenance and complex repairs Must possess basic hand tools required for the job Valid state driver’s license ( CDL preferred ) Ability to perform road service and emergency repairs Ability to work flexible schedules when required Must be 21 years of age or older Preferred Qualifications ASE Certification School bus maintenance experience Familiarity with DOT inspection standards Advanced diagnostics and electrical troubleshooting Experience with internal engine and transmission repairs Work Environment Clean and safe maintenance facility Collaborative team environment Ongoing training and certification support Opportunities for long-term career growth
About Chiral Photonics
Chiral Photonics is a fast-growing photonics manufacturing company enabling next-generation optical connectivity. We specialize in high-precision fiber-optic components and assemblies that support advanced data center, AI, and communications infrastructure. As we scale production, we are building strong operational foundations rooted in standard work, quality, and continuous improvement.
Role Overview
The Operations Project Manager sits at the intersection of production planning and project/program management and plays a critical role in translating customer demand, business strategy, and operational capabilities into executable plans.
This role is responsible for:
- Production Forecasting and Capacity Planning (~40%) — Developing and maintaining production forecasts and capacity plans to ensure the organization has the right people, stations, and sequencing in place to meet customer demand.
- Portfolio Project Management (~40%) — Driving execution and alignment across a portfolio of operational, manufacturing, engineering, and business initiatives, ensuring priorities are clearly sequenced, resources are allocated appropriately, and projects progress according to plan.
- Additional Assignments (~20%) — Supporting the Operations and Production Directors with operational initiatives as needed. This may include, but is not limited to, reviewing and updating standard operating procedures (SOPs) across the product lifecycle, supporting process improvement efforts, and assisting with operational coordination.
This is a highly cross-functional role that partners closely with Production, Process Engineering, R&D, Sales, and Leadership. The ideal candidate is structured, analytical, and detail-oriented, and is comfortable bringing clarity, organization, and strong follow-through to complex operational challenges.
Key Responsibilities
1. Production Forecasting & Planning (~40%)
- Own and maintain production forecasts across standard, custom, and R&D orders.
- Translate demand into capacity and resource plans, including labor, stations/equipment, and shift planning.
- Maintain resource models by station, value stream, and operator.
- Partner with Production, Process and Engineering to assign work, identify bottlenecks, and mitigate risks.
- Track forecast vs. actual performance and improve planning accuracy.
- Support planning in a high-mix, high-volume manufacturing environment with both production and R&D workstreams.
- Support scale decisions, including staffing, cross-training, additional stations, and automation opportunities.
2. Project & Portfolio Management (~40%)
- Manage a portfolio of cross-functional initiatives across manufacturing scale, process improvement, engineering enablement, and operational systems.
- Develop and maintain project plans, timelines, and dependencies.
- Drive execution by tracking actions, ensuring follow-through, and escalating risks.
- Help leadership sequence priorities and align resources across operational initiatives.
- Prepare status updates, dashboards, and decision materials.
3. Additional Assignments (~20%)
Support Operations and Production leadership with initiatives that improve execution, standardization, and cross-functional coordination, including:
- Maintaining and improving SOPs and work instructions across the product lifecycle.
- Supporting process improvement initiatives to improve throughput and reduce cycle time.
- Assisting with operational reporting, dashboards, and data analysis.
- Contributing to special projects and operational initiatives as needed.
Required Qualifications
- 7+ years of experience in manufacturing operations planning and program/project management, or manufacturing operations (startup or scale‑up experience strongly preferred)
- Strong analytical skills with hands‑on experience in:
- Forecasting and capacity planning
- Resource modeling and scenario analysis
- Proven ability to manage multiple concurrent projects with competing priorities
- Excellent organizational skills and attention to detail
- Strong written and verbal communication skills
- Comfortable working in a fast‑paced, evolving environment
- Ability to manage stakeholders at various levels.
Preferred Experience
- Experience in manufacturing, hardware, photonics, semiconductors, or advanced technology environments
- Familiarity with:
- High‑volume / high mix production
- R&D and custom order workflows
- Lean, continuous improvement, or operational excellence frameworks
- Advanced proficiency in Excel / Google Sheets; experience with planning or PM tools is a plus
The City of Newark is seeking an experienced and qualified Land Surveyor to serve within the Department of Engineering as the Municipal Land Surveyor.
Under direction, the incumbent is responsible for managing and maintaining the City’s official tax maps, property records, and survey data, while providing technical and administrative support to engineering, planning and zoning, property management, public infrastructure, and legal functions.
Work is primarily performed in an office setting with field assignments as required
The Food Scientist II reports directly to the Research & Technical Development Lead and plays a critical role in advancing technical platforms, ingredient research, and process feasibility for snack and confectionery products. This role is responsible for developing scalable scientific solutions that support the company’s innovation pipeline. The position focuses on early-stage formulation science, functionality modeling, and technical risk mitigation prior to commercialization handoff.
The Food Scientist operates within the Technical & Research Team and collaborates closely with the Product Development & Commercialization Team during scale-up and launch readiness phases.
Key Responsibilities:
1. Technical Platform Development
· Support the Research & Technical Development Lead in building and optimizing core technology platforms (e.g., probiotic systems, fiber enriched system, sugar reduction system, hydrocolloid systems, protein enhanced system).
· Conduct ingredient functionality studies to understand structure-function relationships.
· Develop reusable technical frameworks that enable multiple pipeline products.
2. Advanced Formulation Science
· Design and optimize complex formulations for snack and confectionery applications.
· Investigate texture stability, moisture migration, hydrolysis risks, glass transition behavior, and shelf-life quality indicator.
· Conduct structured root cause analysis for technical performance issues.
· Translate scientific findings into scalable formulation strategies.
3. Process Feasibility & Risk Mitigation
· Evaluate processing parameters (e.g., heating time, vacuum, Brix, pH, Aw) to ensure technical robustness.
· Identify potential scalability constraints early in development.
· Support pilot-scale validation and collaborate with commercialization teams as needed.
4. Stability Prediction
· Design preliminary accelerated and real-time stability studies.
· Establish quality benchmarks for texture, moisture, color, and API ingredients.
5. Cross-Functional Collaboration
· Partner with Product Development during transition from research to commercialization.
· Provide technical input to embedded analytical and compliance resources.
· Support supplier technical assessments and ingredient validation.
6. Documentation & Technical Governance
· Maintain accurate and complete formulation documentation in designated systems.
· Develop detailed technical reports and risk assessments for internal review.
Qualifications:
· Master’s degree in Food Science, Food Engineering, Chemistry, or related field.
· 2–4+ years of experience in snack and/or confectionery and/or gummy and/or bars of R&D.
· Strong knowledge of hydrocolloids, fiber systems, sugar reduction systems, and moisture control mechanisms.
About Chiral Photonics
Chiral Photonics is a fast-growing photonics manufacturing company enabling next-generation optical connectivity. We specialize in high-precision fiber-optic components and assemblies that support advanced data center, AI, and communications infrastructure. As we scale production, we are building strong operational foundations rooted in standard work, quality, and continuous improvement.
Role Overview
The Production Floor Manager owns the day-to-day execution of manufacturing operations on the production floor. This role is responsible for meeting daily and weekly production goals, ensuring adherence to SOPs and work instructions, maintaining a clean and organized floor, and supporting production teams through hands-on leadership, equipment troubleshooting, and close collaboration with Production Director, Operations, Engineering and R&D teams.
This is a highly visible role critical to scaling output while maintaining Chiral’s high standards for precision, quality, and safety.
Key Responsibilities
Production Execution & Performance
- Lead daily production floor operations, ensuring work is executed according to plan and priorities.
- Own achievement of daily and weekly output targets (e.g., standard orders, batch completion, on-time delivery).
- Track and manage key production metrics such as:
- Units completed per day/week
- WIP levels by process step
- Throughput and cycle time
- Rework and defect trends
- Participate in and lead daily production huddles and weekly planning reviews.
- Ensure every technician has a work order and all parts are ready in advance of their scheduled shift.
- Work closely with Operations Planning Coordinator to review forecasted plans and targets.
Team Management
- Directly manage and support a production team of approximately 10-15 technicians (scaling over time).
- Provide clear daily direction, prioritize work, and rebalance resources as needed to meet goals.
- Coach technicians on standard work, quality expectations, and safe operating practices.
- Support onboarding and training of new production staff in partnership with Operations
- Review timecards for accuracy and completeness
Standard Work, Quality & Compliance
- Ensure strict adherence to SOPs, work instructions, and quality controls across all production activities.
- Enforce discipline around WIP management, including labeling, tracking, storage locations, and FIFO practices.
- Identify deviations from standard work and drive corrective actions.
- Maintain a clean, organized, and audit-ready production floor (5S mindset).
Equipment & Troubleshooting Support
- Act as first-line support for equipment issues and production interruptions.
- Troubleshoot common equipment and process issues alongside technicians.
- Escalate complex issues appropriately and coordinate with Process Engineering and Operations.
- Help minimize downtime and ensure fast recovery to standard operations.
Process Improvement & Cross-Functional Collaboration
- Partner closely with Process Engineering to identify bottlenecks, yield issues, and improvement opportunities.
- Contribute ideas and data to drive process optimization, efficiency gains, and defect reduction.
- Support pilot changes, new process introductions, and scaling initiatives on the production floor.
- Provide structured feedback from operators to operations to be triaged for action with process / engineering / R&D.
Safety & Housekeeping
- Promote and enforce a safe working environment at all times.
- Ensure compliance with safety procedures, PPE requirements, and cleanliness standards.
- Address safety or housekeeping issues immediately and proactively.
Qualifications
- 10+ years of experience supervising or leading manufacturing operations (precision manufacturing, photonics, optics, electronics, or similar preferred).
- Strong understanding of production workflows, SOP-driven environments, and WIP control.
- Hands-on leadership style with the ability to work directly on the floor.
- Experience supporting equipment troubleshooting and process adherence.
- Strong communication skills and comfort working cross-functionally with engineering and operations.
Preferred Experience
- Experience in fiber-optic, photonics, semiconductor, medical device, or other high-precision manufacturing environments.
- Familiarity with lean manufacturing, 5S, or continuous improvement methodologies.
- Experience scaling production from low-volume to higher-volume operations.