Director, Engineering Systems Design
Thermo Fisher Scientific · Pleasanton, CA
- Level
- Director+
- Team
- Manufacturing
- Base pay
- $199k–$298k
- Industry
- Pharma & life sciences
- Posted
- Yesterday
The role in 30 seconds
A director-level manufacturing role at Thermo Fisher Scientific (pharma & life sciences) in Pleasanton, CA.
- Tools it names
- Validation (IQ/OQ/PQ), Automation
- Base pay
- $199k–$298k
Read from the posting. The full description is below.
From the plant jobs report · week of November 2, 2026
Manufacturing Engineer roles in California: typical posted base $112k–$168k. This one lists $199k–$298k.
Median of the low and high ends of 147 live postings that list pay, out of 388 manufacturing engineer openings in California, read from manufacturers' own careers sites.
California plant jobs report →Pay by team and state →What moves pay →
How this role compares
Against 387 other live manufacturing postings in California.
- Base pay
- About 87% above similar roles
- Experience asked
- Not stated
Typical $110k–$157k, from 127 postings that list pay.
Similar roles usually ask 5+ years.
Skills these teams ask for most
- Tooling 52%
- New product launch 47%
- Root cause 38%
- ✓ Automation 35%
- CATIA / NX 27%
- Machining 27%
✓ = this posting asks for it too. % = share of similar postings that mention 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 Thermo Fisher Scientific
We found 2 people at this company and state: 2 in this kind of role. Engineers who joined in the last year or two reply the most. See 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.
Write to Jessie → (free) - 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
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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.
This plant: Thermo Fisher Scientific in Pleasanton
No other open roles at this site right now · 2 people we found in manufacturing roles at Thermo Fisher Scientific.
Full description from Thermo Fisher ScientificAs posted on their careers site.ShowHide
requirements
analysis, concept evaluation, design optimization and risk identification.
- ✓Advance digital twins, predictive models and data-driven approaches that reduce development cycles and physical iteration.
- ✓Ensure hardware, sensing, compute and data capabilities support intelligent instruments and connected workflows.
- ✓Partner with Architecture, Software and Data Science leaders to align AI-enabled product development.
- ✓Establish appropriate validation, traceability, governance and human accountability for AI-assisted engineering.
- ✓Measure the impact of AI adoption rather than treating it as isolated experimentation.
Show full description ↓Show less ↑
Work Schedule
Environmental Conditions
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Thermo Fisher Scientific’s Genetic Sciences Division develops integrated life-science platforms combining instruments, consumables, assays, firmware, software and data.
We are seeking a Director of Core Engineering & Systems Design to lead systems engineering, integration and hardware engineering across electrical, mechanical and optical disciplines. This leader will be accountable for engineering capability, technical excellence and execution across a division-wide portfolio of product-development and lifecycle programs.
The Director will operate through managers and senior technical leaders who lead individual projects. This role will establish priorities, deploy capability, develop leaders and maintain visibility of technical health and risk across the portfolio.
The successful candidate will bring extensive experience building and commercializing life-science instrumentation, consumables and scientific workflows, together with the organizational judgment to align R&D, Product Management, Operations, Quality and global engineering teams.
Lead Core Engineering
- •Lead systems engineering, integration and hardware engineering across electrical, mechanical and optical disciplines.
- •Establish functional strategies, technical standards, development methods and capability roadmaps.
- •Build strong managers and technical leaders who guide individual product programs.
- •Ensure programs have the leadership, expertise and capacity required for successful execution.
- •Develop depth in critical disciplines and reduce dependency on individual experts.
- •Balance resources across new products, platform investments, sustaining engineering and lifecycle priorities.
Govern the Engineering Portfolio
- •Maintain a division-wide view of engineering priorities, capacity, technical maturity and risk.
- •Partner with R&D, business and Product Management leaders to align engineering resources with portfolio strategy.
- •Establish portfolio-level indicators for technical health, integration readiness, quality and delivery risk.
- •Review program health through engineering leaders and address cross-program dependencies or capability gaps.
- •Resolve resource and priority conflicts that cannot be addressed within individual programs.
- •Intervene directly when risks are systemic, cross-platform or business-critical.
- •Provide senior leadership with clear recommendations on investment, sequencing and technical risk.
Drive Engineering Excellence
- •Establish practical standards for requirements, design, analysis, integration, verification and technical reviews.
- •Strengthen model-based engineering, simulation, interface management and evidence-based decision-making.
- •Ensure appropriate engineering rigor based on product complexity, intended use and risk.
- •Identify recurring issues across the portfolio and address their systemic causes.
- •Promote reuse of proven designs, models, methods and test assets.
- •Apply processes based on intent and risk so they improve decisions without unnecessarily slowing teams.
Ensure Integrated Product Development
- •Ensure programs develop instruments, consumables, assays, firmware, software and data as integrated systems.
- •Establish strong partnership between Product Management and engineering during product definition and concept selection.
- •Ensure customer and scientific workflows translate into clear product and system requirements.
- •Review critical trade-offs involving scientific performance, customer experience, cost, schedule and risk.
- •Ensure technical leaders maintain product coherence from feasibility through commercialization and lifecycle support.
- •Use learning from development, manufacturing and field performance to improve future products.
Build Global Capability and Leadership Depth
- •Establish common engineering practices across the Bay Area, Singapore and India.
- •Distribute meaningful technical ownership while maintaining clear standards and accountability.
- •Partner with site leaders to develop local capability and align resources with portfolio needs.
- •Build succession depth for management and critical technical roles.
- •Identify future capability gaps and develop plans to build, hire or partner for them.
- •Create a culture that is agile, hungry, curious and grounded in customer value.
Advance AI-Enabled Engineering and Products
- •Define how AI, modeling, simulation and automation will improve engineering effectiveness across the portfolio.
- •Promote AI-assisted
Lead Across the Enterprise
- •Build strong partnerships with Product Management, science, software, Quality, Regulatory, Operations, Service and Commercial leadership.
- •Translate engineering portfolio decisio
