Top 7 senior validation engineer Jobs in muskegon mi

Senior Product Engineer
Howmet Aerospace —Whitehall, MI
- Full-time
- 5 years
- Bachelor of Science
- US work authorization
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Senior Process Engineer
Howmet Aerospace —Whitehall, MI
- Full-time
- 5 years
- Bachelor of Science
- US work authorization
Quick Apply
6330 - Senior Lab CQV Engineer / Senior Validation Engineer
Verista, Inc. —Muskegon, MI
- $80,465 - $122,603 a year
- Computer science
- Computer Science
- Engineering
- Commuter assistance
- Paid parental leave
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Senior DevOps Engineer – Data Engineering
innoVet Health, LLC —United States
- From $140,000 a year
- Full-time
- Remote
- HIPAA
- SQL
- AWS
- Health insurance
- Dental insurance
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Senior Product Engineer

Howmet Aerospace -
Whitehall, MI

Quick Apply

Job Details

Full-time

Qualifications

AI tools proficiency
Six Sigma methodology implementation
Manufacturing facility
Bachelor’s degree in engineering
Factory experience
Casting

Full Job Description

This role designs, documents, and continuously improves investment casting manufacturing processes by combining deep domain expertise in Process Engineering with AI-enabled analytics to reduce waste, improve throughput, and shorten cycle times. The position collaborates closely with the AI deployment team to ensure production data is clean and usable for model training, then pilots and implements AI-driven process control and problem-solving on the factory floor. The role also ensures all changes meet safety, quality, and regulatory requirements while delivering measurable business outcomes.

Job Roles

Domain Expertise-maintains deep knowledge of internal processes and capabilities, emerging technologies, enabling elements (raw materials, inputs, science, etc.)
Innovation and improvement-willing to try new things; focused on continuous improvement even for persistent problems; constantly learning
Development focused-provides guidance and assistance to associates; helps others improve in their roles; distributes work through a growth lens
Data informed-focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the relationship between actions and expected results
Prioritization and orchestration-differentiates between urgent and important; attends to issues as they arise within the framework of a strategy and plan; focused on team deployment toward solutions
Relationship and communication-connects individually and with teams across practice areas and leadership levels; builds rapport and commonality; creates a “win together” ethic; gives and receives feedback and takes action accordingly
Systems thinker-sees the business and its operation holistically; understands actions and reactions; manages complexity well; understands when to intervene and when to step back
Independent initiative-manages time well; does not require direction; takes responsibility for finding and solving problems; optimizes based on learning and team input; thinks about the future and anticipates needs
Customer focus-understands requirements and applications to ensure an excellent product; manages multiple products; leverages historical knowledge and data; takes on difficult configurations and manages them professionally and objectively

Responsibilities

Design, document, and optimize manufacturing processes, incorporating AI analytics for efficiency gains, waste reduction, and cycle-time improvements.
Analyze real-time production data (from sensors/IoT) to identify bottlenecks and recommend AI model-driven changes.
Provide manufacturing domain knowledge as it relates to process engineering (materials, processes, KIV-KOV relationships), to guide AI model development, feature selection, and validation of AI recommendations.
Collaborate with AI engineers to ensure processes generate clean, labeled data for training models; implement AI recommendations on the factory floor.
Lead pilot projects for AI-based process control and agentic problem solving (e.g., waste / scrap reduction) and validate ROI.
Ensure compliance with safety, quality, and regulatory standards while introducing AI tools.

Basic Qualifications

BS in Industrial/Mechanical/Chemical Engineering from an accredited institution
5+ years manufacturing experience
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Basic Qualifications

Extensive Investment Casting domain knowledge
Familiarity with Six Sigma, Lean, and basic data tools (Python/Tableau a plus)

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $8.3 Billion in revenue in 2025, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers’ success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2025 Environmental Social and Governance report at www.howmet.com/esg-report. Follow: LinkedIn, Twitter, Instagram, Facebook, and YouTube.

Equal Opportunity Employer:

Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.

If you need assistance to complete your application due to a disability, please email [email protected]

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senior validation engineer jobs in muskegon mi

Senior Product Engineer

Senior Process Engineer

6330 - Senior Lab CQV Engineer / Senior Validation Engineer

Senior DevOps Engineer – Data Engineering

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