AI Manufacturing Engineer
Excelitas Technologies · Pittsburgh, PA
- Level
- Engineer
- Team
- Manufacturing
- Experience asked
- 5+ years
- Industry
- Industrial
- Posted
- 17 days ago
The role in 30 seconds
An engineer-level manufacturing role at Excelitas Technologies (industrial) in Pittsburgh, PA. Partner with operations, engineering, quality, and supply chain teams to identify and prioritize AI opportunities that improve process efficiency, reduce manual effort, and enhance decision-making.
- They ask for
- 5+ years
- Tools it names
- Lean, Automation, SAP, MES
Read from the posting. The full description is below.
From the plant jobs report · week of November 2, 2026
Manufacturing Engineer roles in Pennsylvania: typical posted base $79k–$120k.
Median of the low and high ends of 24 live postings that list pay, out of 60 manufacturing engineer openings in Pennsylvania, read from manufacturers' own careers sites.
Pennsylvania plant jobs report →Pay by team and state →What moves pay →
How this role compares
Against 59 other live manufacturing postings in Pennsylvania.
- Base pay
- Not listed in this posting
- Experience asked
- Typical (5+ years)
Typical $79k–$120k, from 24 postings that list pay.
Similar roles usually ask 5+ years.
Skills these teams ask for most
- ✓ Lean 57%
- Tooling 50%
- Root cause 38%
- Six Sigma 32%
- ✓ Automation 32%
- New product launch 27%
✓ = this posting asks for it too. % = share of similar postings that mention it.
Stands out: this posting asks for MES, Power BI / Tableau, which few similar roles mention. If you have it, lead with it.
At a glance
Pulled from the posting text. If it's not listed here, the posting didn't say.
How to get in at this plant
Five moves over a week or two. The first one takes ten minutes.
- 1
Pick 2–3 people on the Manufacturing team at Excelitas Technologies
Engineers who joined in the last year or two reply the most. Use the team search on this page to find them.
- 2
Send a short, curious note
One real question about their work. No favors yet. Each person gets a different note, written for this role.
- 3
Turn a reply into a short call
Questions worth asking about this team:
- What does a normal week look like on your team?
- Is the work mostly new product launches or sustaining existing lines?
- How much time do you spend on the floor versus at a desk?
- How did you land the job? What stood out in your interviews?
- 4
Apply with someone vouching for you
If the call went well, ask whether they’d pass your résumé to the hiring manager. Send your résumé link, apply that day, and let them know.
- 5
Bring proof to the interview
One page of before-and-after numbers from projects you led: scrap, OEE, cycle time, cost. Plant managers hire on results.
Full description from Excelitas TechnologiesAs posted on their careers site.ShowHide
Key Responsibilities
- ◆Partner with operations, engineering, quality, and supply chain teams to identify and prioritize AI opportunities that improve process efficiency, reduce manual effort, and enhance decision-making.
- ◆Lead or support AI-enabled process improvement projects from idea through pilot and scaling.
- ◆Use AI tools (Grok Build, Codex, and other available platforms) to digitize manual processes, build practical automation, generate reports/dashboards, and create working prototypes.
- ◆Analyze operational data to surface insights, trends, and improvement opportunities; translate findings into clear recommendations for leadership and process owners.
- ◆Guide cross-functional AI projects by defining scope, success metrics, and realistic implementation plans while managing stakeholder expectations.
- ◆Document solutions, create simple user guides/training materials, and support change management so new tools and processes stick.
- ◆Stay current on practical AI capabilities relevant to manufacturing and operations and evaluate which tools/approaches fit our environment.
- ◆Collaborate with IT and compliance stakeholders to ensure solutions meet security, data handling, and regulatory requirements.
Required Qualifications
- ✓BS in Industrial, Manufacturing, Mechanical Engineering, Computer Information Systems or equivalent
- ✓5+ years' experience in an Operation Systems focused environment
- ✓Strong understanding of manufacturing or operations processes (experience in semiconductor, electronics, or complex discrete manufacturing preferred).
- ✓Demonstrated ability to apply AI tools to real business problems (process digitization, data analysis, automation of repetitive tasks, or decision support).
- ✓Hands-on experience with modern AI platforms and coding assistants (Grok Build, Codex/GitHub Copilot, or similar tools).
- ✓Solid analytical skills and comfort working with operational data (Excel, Power BI, or equivalent).
- ✓Ability to communicate clearly with both technical and non-technical audiences and influence without formal authority.
- ✓Practical, results-oriented mindset — focused on delivering usable solutions rather than theoretical models.
Preferred Qualifications
- ✓Experience with MES, ERP (SAP, Dynamics), or related manufacturing systems.
- ✓Background in continuous improvement, lean, or process excellence.
- ✓Familiarity with low-code/no-code tools and rapid prototyping approaches.
- ✓Prior involvement in digital transformation or automation initiatives in an operations setting.
Show full description ↓Show less ↑
AI Manufacturing Engineer Job Details | Excelitas Technologies
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AI Manufacturing Engineer
Location
Pittsburgh, PA, US, 15222
Job Function
Operations
Job Country
United States
Job City
Pittsburgh
Job Type
Regular Full Time
ENABLE your future through light.
Excelitas is a global technology leader with more than 7,500 employees, focused on delivering market-driven solutions to fulfill the illumination, optical, detection and imaging needs of OEMs and end-users across the biomedical, semiconductor, industrial, consumer products, scientific, security, defense and aerospace sectors.
ENGAGE with us today and make your contribution to the future! Join the team that leading technology companies turn to for cutting-edge photonic innovation. At Excelitas Technologies you are how we EXCEL.
The Opportunity
We are seeking a practical, operations-focused AI Manufacturing Engineer to help guide and execute AI initiatives across manufacturing and business operations. The ideal candidate understands operational processes, can identify high-value use cases, and can effectively apply modern AI tools (including Grok Build, Codex, and similar platforms) to improve processes, digitize manual work, and extract insights from data. This role will be a strong bridge between operations teams and technology someone who can translate real operational pain points into workable AI solutions and drive adoption on the floor and in supporting functions.
What Success Looks Like
- •High-value AI use cases are identified, piloted, and scaled with measurable operational impact.
- •Manual or paper-based processes are digitized in practical, sustainable ways.
- •Operations teams increasingly use AI tools effectively with support and guidance from this role.
- •AI initiatives are well-scoped, realistic, and deliver clear business results rather than science projects.
Please note
- •This position requires the use of information which is subject to the International Traffic in Arms Regulations (ITAR)
- •Visa spon