Enigma Machine Location Wolfenstein 2 Jobs in Usa

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Commercial Airplanes is excited to offer opportunities for a Flexible Machining System (FMS) Operator to join our Fabrication team in Auburn & Puyallup WA.

As a Flexible Machining System (FMS) Operator you will have the opportunity to work with advanced CNC technology, ensuring precision and efficiency in the machining process. Your expertise will be essential in optimizing machine setups and operations, contributing to the production of high-quality components that meet stringent industry standards

You will play a critical role in upholding our commitment to safety and quality standards, ensuring that all operations meet regulatory compliance and operational excellence. If you are detail-oriented, possess strong technical skills, and thrive in a collaborative environment, we invite you to apply and be a part of our mission to deliver excellence in aviation.

Position Responsibilities

• Prepare for job setup by reviewing work orders, tie-in sheets, operator documents, blueprints, or CATIA plots for production orders, first lots, or tool tryouts.
• Review Work Orders (W/O) to confirm the correct type and quantity of materials and tools or fixtures are issued and free from visible defects, updating CMES as necessary.
• Identify the type of setup required based on documentation and check machine setups or parts completed by previous operators to assess job progress and ensure safe working conditions.
• Select and verify the condition of machine accessories and holding devices (e.g., chucks, vises, templates) and identify any required fixtures or shop aids.
• Attach air nozzles or suction devices for vacuum fixtures, securing them with bolts or clamps as specified in the operator setup documents.
• Use overhead cranes to load and unload parts and fixtures as required for the machining process.
• Upload and download CNC (Computer Numerical Controlled) programs to machine controllers using computing equipment from various servers or databases.
• Select and check cutting tools according to program specifications, ensuring they are the correct type, length, diameter, and in good condition before installation.
• Set machine coordinates or index points per CNC documents, including cutter offsets, tool heights, and probes, using appropriate measuring tools.
• Run CNC programs to machine rough and precision cut parts, monitoring machine operations for unusual vibrations, sounds, or warning indicators.
• Adjust machine settings (e.g., speeds and feeds) to correct machining issues or prepare the machine for subsequent operations, including head and spindle angles.
• Troubleshoot and repair minor controller problems as required, and initiate requests for corrective action when machine malfunctions occur.
• Perform Statistical Process Control (SPC) functions as required to ensure quality standards are met.
• Check completed work for defects and ensure parts meet drawing specifications, removing sharp edges with deburring tools as required.
• Maintain personal and tool certifications and assist planners or programmers in determining final numerical control programs to optimize machine utilization and minimize setups.

Physical Demands and Potential Hazards:

• Perform physical tasks that include lifting weights ranging from 10-15 lbs to 15-35 lbs.
• Engage in various movements such as reaching, handling, turning, twisting, lifting, lowering, climbing, balancing, bending, kneeling, crouching, and squatting.
• Work in environments that may involve contact with metals, solvents, and coolants.
• Operate in proximity to moving parts and tools, sharp cutters, and potential slipping hazards.
• Adapt to varying noise levels and atmospheric conditions.
• Utilize personal safety gear to protect face/eyes, hands/arms, and feet while performing job duties.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. § 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee

Resumes of current Puget Sound Boeing employees submitted via "Find Jobs" in Boeing/Workday will be considered as this job is not installed in QTTP (Quality Through Training Program).

Basic Qualifications

• 2+ years of experience setting up and operating Manual and CNC machines
• 2+ years of experience in setting and using precision measuring tools and equipment such as micrometers, calipers, and/or dial indicators
• 2+ years of experience using software applications for internet navigation, email, Microsoft Suite and/or other specialized computer applications
• 2+ years of experience working with powered hand tools
• Experience with reading and interpreting drawings, specifications, material processes, schematic and diagrams
• Must be able to lift, push and pull up to 35 pounds frequently within an 8-hour shift

Preferred Qualifications:

• Experience in Fabrication of airplane parts
• Experience in Fabrication of temporary tooling

Typical Education & Experience:

High school graduate or GED preferred.

Relocation:

• Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Drug Free Workplace

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Union Representation Statement:

This is an hourly position governed by the International Association of Machinists (IAM-751) Collective Bargaining agreement.

Shift Work Statement:

• This position is for a variety of shifts

Total Rewards & Pay Transparency:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay: $33.32/hour, with the potential to earn up to $61.01 /hour in accordance with the terms of the relevant collective bargaining agreement

Applications for this position will be accepted until Mar. 20, 2026

Language Requirements

English Preferred

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for variable shift

Contingent Upon Program Reward

The position is contingent upon program award

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Description

At Lactalis in the USA, we believe in promoting from within and giving our employees meaningful opportunities to learn, grow, and thrive. Whether you're just starting out or bringing years of experience, we'll provide the tools and support you need to succeed.

As the world leader in dairy, Lactalis is a family-owned company with over 85,000 pragmatic and ambitious professionals across the globe. Each day, we're proud to produce award-winning dairy products that bring people together.

In the US, we proudly offer an unrivaled house of beloved brands, including Galbani Italian cheeses and ricotta, President specialty cheeses and butters, Kraft natural and grated cheeses, Breakstone's cottage cheese, Cracker Barrel, Black Diamond cheddar, and Parmalat milk. Our yogurt portfolio includes siggi's, Stonyfield Organic, Brown Cow, Oui, Yoplait, Go-Gurt, :ratio, Green Mountain Creamery, and Mountain High, along with a growing family of ethnic favorites like Karoun, Gopi, and Arz.

At Lactalis, we live by our core values-Ambition, Engagement, and Simplicity. We foster a workplace where innovation thrives, diverse perspectives are celebrated, and everyone's unique background and ideas are valued.

Even if you don't meet every qualification, we encourage you to apply. We want to hear about your PASSION, your STORY, and how your EXPERTISE can help us shape the future of dairy.

From your PASSION to ours.

Lactalis USA, part of the Lactalis family of companies, is currently hiring a Machine Operator based in Buffalo, New York.

From your EXPERTISE to ours.

Key responsibilities for this position include: Other duties may be assigned.

Summary: Responsible for operation and maintenance of the bulk filler machine system.

1. Perform pre-shift operational inspection to determine condition of filling machine.

2. Sets up filling machine and related equipment for product to be run.

3. Monitors filling machine during line operation to ensure proper operation and efficiency.

4. Troubleshoots and resolve operational /mechanical problems in a timely basis to ensure an efficient, smooth flow of product.

5. Monitors package seal impressions, integrity, and product giveaway.

6. Changes film in a timely manner to fashion to ensure a continuous, efficient flow of product.

7. Perform product changeover(s) as needed.

8. Performs preventative maintenance on a daily/weekly schedule as required.

9. Maintains an open line of communication with production palletizer, and lead person/supervisor.

10. Perform proper sanitation of the filler before introducing the product.

11. Continuously monitors for abnormalities or inconsistencies in the texture, shape, color, odor or foreign material in or on the product.

12. Continuously monitors for proper code date, lot number and operator code product to be packaged.

13. Familiarizes self with all standard operating procedures.

14. Continuously monitors for proper product temperature during filling.

15. Continuously monitors the cup wash, ensures that it is on and working correctly.

16. Continuously monitors the cooling spirals and investigates any problems.

17. Keeps work area neat and clean at all times.

At Lactalis, we offer a comprehensive Total Rewards Program with a variety of affordable benefits and coverage options. We support insurance costs significantly, contribute generously to retirement plans, and offer Paid Time Off from day one. We are committed to your professional growth, providing training and development opportunities, including Education Reimbursement. Join us and grow your career.

Lactalis is an equal employment opportunity employer. We will not discriminate against applicants with regard to any legally-recognized basis including, but not limited to: veteran status, race, color, religion, sex, national origin, age, marital status, sexual orientation, and physical or mental disabilities. Further, any division of the Company that is an Affirmative Action Employer will comply with all related legal obligations

Requirements

Qualifications:

* Basics mathematical skills are required (must be able to calculate averages)

* Food industry is preferred

* Strong attention to detail and accuracy.

* Must be dependable and be able to work well in a team environment.

Education and/or Experience:

* High School Diploma/GED required.

At A. Stucki Company, we’re all about innovation, engineering excellence, and keeping the rail industry on track—literally! Founded in 1911, we’ve evolved into a powerhouse of businesses delivering cutting-edge parts and services for rail systems worldwide. From dynamic control products and brake system components to springs, bearings, and track infrastructure, we’ve got rail covered. But we don’t stop there—our services include remanufacturing, repair, and more. Over a century strong, we’re redefining what it means to move the world forward, one railcar at a time.

What sets us apart?

Global Impact: Be part of a team that's making waves on a global scale. Your work at A. Stucki Company will contribute to solutions that transcend boundaries and impact lives.

Collaborative Culture: We value teamwork and collaboration. Our open-door policy ensures that your ideas are not only heard but valued. Together, we build the future.

Continuous Learning: Embrace a culture of continuous improvement. At A. Stucki Company, we invest in your professional development, providing resources and opportunities to help you reach new heights.

Diversity and Inclusion: We celebrate differences and believe in the strength of diversity. Join a workplace that encourages individuality and values the unique perspectives each team member brings.

This position is at our Seco Machine location where we are a leading manufacturer of components for the railroad industry. This role is responsible for operating, setting up, and maintaining CNC equipment to produce high-quality parts that meet engineering specifications and production standards. The ideal candidate has strong mechanical aptitude, experience reading blueprints, and a commitment to safety and precision.

Responsibilities / Job Duties:

• Set up, adjust, and operate CNC mills and lathes, as well as conventional and specialty machine tools.
• Utilize precision measuring instruments such as calipers, micrometers, indicators, and scales to perform setups and verify part accuracy.
• Interpret drawings, blueprints, specifications, sketches, manuals, and sample parts to determine dimensions, tolerances, operation sequences, and setup requirements.
• Inspect completed parts to ensure they meet dimensional and quality standards.
• Perform routine and preventive maintenance on machines and equipment as required.
• Work independently with minimal supervision, seeking guidance on complex setup or operational issues when needed; all work is subject to final inspection.
• Analyze production information, troubleshoot machining challenges, and implement effective solutions to maintain quality and efficiency.

Requirements/Qualifications:

• 2+ years of CNC lathe or mill experience is required.
• Experience with machine setups, tooling, and edits are preferred.
• Basic math and computer skills are necessary.

Open Schedule(s):

• 1st shift working 4 10s: Monday – Thursday, 5am-3pm.

Benefits:

• Pay Schedule: Paid weekly!
• Health Coverage: The company covers 80% of medical, dental, and vision premiums, ensuring comprehensive healthcare for you and your family.
• Retirement Savings: Enjoy immediate full vesting in our 401(k) plan, with a generous company match to support your financial future.
• Life Insurance: Receive company-paid life insurance for peace of mind and security.
• Paid Time Off: 11 paid holidays, plus paid vacation, and sick time available in your first year.
• Work-Life Balance: Supportive benefits designed to help you maintain a healthy work-life balance.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

• Competitive base rate - $22.00-$32.20/ hour depending on experience.15% shift differential.
• Medical/Prescription Drug/Dental/Vision Benefits on Day 1 of employment
• 401(k) Retirement Savings Plan
  • 4.5% company match if you contribute at least 5%
• Quarterly Bonus potential
• Paid Time Off (PTO)
• 8 company paid holidays per year
• Employer paid Life Insurance, AD & D plus optional coverage for yourself, spouse and child(ren)
• Employee Assistance Program
• MN Paid Leave/and/or Short-Term Disability provided by ARCH
• $1,000 Sign on Bonus

• Inspects products during the machining operation to determine if parts meet specifications, complying with established standards and methods for inspection, testing, evaluation and calibration
• Follow all job work order instructions
• Must be able to run more than one machine where cycle time permits
• Complete all required shop floor documentation for the job including both part-dimensional and visual inspection
• Maintain equipment by completing preventive maintenance requirements; following manufacturer's instructions; troubleshooting malfunctions; reports to management/maintenance the need for machine repairs
• Understands and comply with company policy safety guidelines, quality systems requirements and housekeeping standards

• High school diploma or GED equivalent
• Due to contractual requirements, this position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.

• Machine Tool Technology degree (completed or pursuing)
• A minimum of 1 years' experience operating a CNC Lathe machine
• Strong mechanical aptitude
• Ability to read and understand blueprints
• Strong attention to detail
• Effective verbal and written communication skills

Machine Vision / Controls Engineer

Do you enjoy:

• Working on new automation challenges every few months
• Performing vision feasibility testing and proving out inspection methods
• Researching and implementing new automation technologies
• Managing your work with a high level of autonomy
• A blend of desk work (~70%), shop work (~20%), and field work (~10%)
• Working in a small engineering-driven company where your work has visible impact

Job Description:

We are looking for a Machine Vision / Controls Engineer to join our fast-paced automation engineering firm. This role focuses on developing machine vision inspection systems while also supporting controls development and feasibility testing for custom automation equipment.

You will perform vision feasibility studies, camera/lens/lighting selection, and vision programming, primarily using Keyence Machine Vision systems. In addition, you will support PLC programming, system integration, and automation debugging on our custom machines.

This position works closely with mechanical, electrical, and controls engineers to integrate machine vision, robotics, motion control, and PLC systems into complete automation solutions.

Engineered Vision is dedicated to improving how factory automation projects are implemented through transparency, quality, and speed.

Duties:

• Perform machine vision feasibility testing in our lab to validate inspection concepts and system performance
• Size and select cameras, lenses, and lighting for vision inspection applications
• Develop and program machine vision systems (primarily Keyence)
• Integrate vision systems with robots, PLCs, and motion control systems
• Program and support PLC controls systems (primarily Allen Bradley ladder logic)
• Assist with controls debugging and automation system integration
• Support machine builds, testing, and troubleshooting in the shop
• Assist with system commissioning and startup at customer facilities
• Create and maintain vision documentation, feasibility reports, and technical documentation
• Collaborate with mechanical and electrical engineers to optimize inspection and automation performance
• Deploy systems at customer facilities and perform service work
• Travel up to 15% (mostly within 250 miles of Columbus, Ohio)

Required Qualifications:

• US Citizenship Required (we work on Government Projects – Green Card will not be acceptable)
• Must live in the Columbus, Ohio area
• Bachelor of Science in Electrical Engineering, Computer Engineering, Mechanical Engineering, Mechatronics, or related field
• Experience performing machine vision feasibility testing and inspection development
• 2+ years experience working in industrial automation including: selecting vision cameras/lenses/lights, feasibility testing, and vision programing
• Ability to troubleshoot and optimize automation systems in real-world manufacturing environments
• Strong documentation and communication skills

Preferred Qualifications:

• 5+ years experience working in industrial automation selecting vision cameras, lenses, and lighting
• 2+ years experience with machine vision programming of Keyence Machine Vision Cameras
• 2+ years experience working with a custom machine builder as a controls engineer
• Experience integrating vision with robots and PLC systems
• Experience with industrial lighting design and lens selection
• Customer run-off and field troubleshooting experience
• Ability to troubleshoot and optimize automation systems in real-world manufacturing environments

About Us:

Engineered Vision is a small custom machine builder focused on newer technologies including robots, machine vision, and motion control. We opened our doors to deliver affordable automation fast, with typical project sizes ranging from $100k–$2MM.

Engineered Vision is one of the fastest growing custom machine design and engineering firms in Columbus, Ohio. We integrate our machines across industry boundaries and pair the latest technologies with real industry needs to deliver strong ROI.

We consider our shop an engineer’s playground with robots, machine vision systems, CNC machining, and 3D printing.

We look forward to working with you.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Vision insurance

Schedule: Full-Time

Work Location: In person

• Prepare and set up multiple work centers, ensuring initial parts meet Quality Assurance specifications.
• Set up numerical control machines or machining centers to perform functions such as cutting, drilling, milling, reaming, boring, and broaching.
• Mount, align, and secure tooling attachments and workpieces.
• Select and install cutting tools in machine spindles.
• Load control media or enter commands to retrieve preprogrammed instructions from the database.
• Operate CNC Avenger 200T, 850 X, and Orbitform Assembly Machines.
• Diagnose and troubleshoot issues in multiple work centers.
• Operate equipment through trial runs to verify setups and make necessary adjustments.
• Monitor displays and machine operations to detect malfunctions and resolve issues promptly.
• Enter commands or manually adjust machine controls to correct malfunctions or out-of-tolerance machining.
• Coordinate activities for operators and conduct on-the-job training for new operators.
• Instruct equipment operators and maintenance personnel on setup, operation, and maintenance of equipment.
• Perform preventive maintenance and minor repairs on machines as needed.
• Calculate and set machine controls to regulate factors such as cutting depth, speed, feed, and coolant flow.
• Stop machines to change cutting tools and setups as required by the machining sequence.
• Measure parts for conformance to blueprint specifications using precision measuring instruments.
• Discuss control media errors with programming personnel to resolve problems.
• Perform other customer-driven or product-driven duties as assigned by the supervisor.

• High school diploma or GED required.

• 3 to 5 years of experience in CNC and assembly machine operations.

• Knowledge of computer systems and hard gauging measuring equipment.
• Strong understanding of mechanical manufacturing processes and production tools.
• Ability to read tooling prints and perform mathematical calculations related to machining.
• Background in CNC programming.
• Familiarity with software packages relevant to machining operations.
• Attention to detail and troubleshooting aptitude.
• Strong communication, organizational, and people skills.
• Conceptual thinking and mechanical aptitude.

• Good vision and adequate hearing.
• Ability to lift light loads (10-20 lbs daily) and heavier loads (50-60 lbs occasionally).
• Manual dexterity and coordination.
• Mobility for bending and kneeling as required.

Machine Shop Supervisor – CNC Operations, Programming & Advanced Manufacturing

Technical Source is seeking a Machine Shop Supervisor with deep expertise in CNC machining, programming, and leadership within a high‑precision manufacturing environment. Our client is an industry-leading designer and builder of custom automation systems supporting industrial, medical, and semiconductor applications. Their U.S. machining and automation operations support the production of specialized components used in complex modules, equipment platforms, and fully integrated production systems.

This position plays a critical role in shaping the machine shop of the future, including leading day‑to‑day machining activities, guiding CNC operators, refining programming strategies, and helping establish a new machining facility that will integrate directly with advanced automation and robotic workflows.

Role Overview

As the Machine Shop Supervisor, you will be the primary leader responsible for CNC machining operations that support sophisticated automated manufacturing systems. You will guide personnel, oversee production schedules, develop CNC programs, and ensure best‑in‑class machining practices across multi‑axis equipment and robotic machine‑tending environments.

You will also be heavily involved in planning and setting up the machine shop during an upcoming facility relocation, including equipment layout, workflow optimization, and integrating machining activities with automated equipment and digital manufacturing technologies.

Every day will bring new challenges … new parts, new processes, and new engineering problems to solve, while maintaining a high standard of precision, safety, and operational excellence.

Key Responsibilities

• Lead, train, and mentor CNC machinists to meet production goals and uphold quality and safety standards.
• Oversee daily machining operations, including scheduling, prioritizing workloads, and coordinating with automated production lines and supporting departments.
• Create, refine, and optimize CNC programs for complex components used in robotic assemblies, tooling packages, motion‑control systems, and custom automated machinery.
• Use CAM programming tools (Mastercam, Fusion 360, or equivalent) to develop efficient toolpaths, reduce cycle times, and ensure compatibility with automated material-handling systems.
• Support and troubleshoot multi-axis machining centers, robotic tending cells, and automation-assisted machining processes; experience with Okuma equipment is highly beneficial.
• Drive the setup and organization of the new machine shop facility—including equipment placement, workflow development, process layout, and integration with automation and digital systems.
• Collaborate closely with engineering, automation, and maintenance teams to address machining issues, improve system performance, and enhance uptime and reliability.
• Interpret detailed engineering drawings, GD&T requirements, and automation-related part specifications to ensure accurate and repeatable production results.
• Maintain a clean, organized, and safety‑focused work environment aligned with modern automated manufacturing expectations.
• Participate in continuous-improvement initiatives involving automation enhancements, process optimization, tooling improvements, and smart‑manufacturing strategies.

Required Qualifications

• Prior experience in setting up a machine shop or similar environment (industrial automation or advanced-manufacturing environment)
• Associate or Bachelor’s degree in Machine Tool Technology, Computer Integrated Machining, or a closely related manufacturing discipline.
• 8+ years of experience in CNC machining, electrical/mechanical technical support, or similar roles in an advanced-manufacturing environment.
• Demonstrated background in CNC machining, programming, and supervising machining teams within high‑precision or automation-driven production settings.
• Strong understanding of multi‑axis machining, robotic machine‑tending concepts, and automated part-handling systems.
• Proficiency with CAM software such as Mastercam, Fusion 360, or similar platforms.
• Working knowledge of advanced manufacturing technologies (robotics, PLC-controlled equipment, vision systems, digital factory tools).
• Solid foundation in machining fundamentals, tooling selection, fixturing, and precision manufacturing practices.
• Strong leadership, communication, and troubleshooting skills with the ability to support both machining personnel and automated systems.

Work Environment & Location

• Full‑time, onsite position based in the Raleigh/Morrisville area.
• Role requires hands‑on presence on the shop floor; remote or hybrid schedules are not available.
• Position includes significant involvement in setting up a newly relocated machine shop.
• Relocation assistance is not provided.

What They Offer

• Competitive Compensation – Pay aligned with technical skill level and supervisory responsibilities.
• Health Benefits – Medical, dental, and vision insurance covered by the company.
• Life Insurance – Company‑paid plan for financial protection.
• 401(k) Retirement Plan – Employee contribution options to support long-term savings.
• Paid Time Off – Flexible PTO plus company‑paid holidays.
• Uniforms & Safety Gear – Provided to ensure professionalism and workplace safety.
• Advanced Technology Exposure – Work with multi‑axis machining, robotics, and automation-enabled processes supporting high‑precision, high-volume production environments.

You’ll join a collaborative, engineering-driven culture where machinists, programmers, and automation specialists work side-by-side—and where your skill, initiative, and leadership will directly influence the success of next‑generation automated manufacturing systems.