Entegris Logo

Entegris

Lead Scientist, Modeling & Simulation

Posted Yesterday
Be an Early Applicant
In-Office
Billerica, MA
112K-164K Annually
Senior level
In-Office
Billerica, MA
112K-164K Annually
Senior level
Performs multiphysics simulations using CFD, FEA, and established models for fluid flow, heat transfer, and structural mechanics. Validates models against empirical data, interprets results, and deploys standardized workflows through AI-enabled tools. Partners with R&D teams to define modeling requirements, trains users, provides application support, and communicates feedback to core modeling specialists. The role also contributes to AI-powered scientific workflows and simulation-driven product design.
The summary above was generated by AI

Job Title:

Lead Scientist, Modeling & Simulation

Job Description:

The Role: 

Entegris is currently seeking a seeking a Modeling & Simulation (M&S) Engineer to join our Digital Solutions Enablement team. In this role, you will perform simulations of products and product derivatives using established models. You will interpret the results and validate model predictions against empirical data. You will then deploy validated models for business users through AI-enabled tools and standard operating procedures (SOPs), supported by training and first-line application support. You will also work with business unit R&D teams and the Core M&S Team to translate scientific and engineering challenges into clear modeling requirements and fit-for-purpose solutions 


What You’ll Do: 

  • Perform simulations. Apply established models to conduct multiphysics simulations, computational fluid dynamics (CFD), finite element analysis (FEA), involving fluid flow, heat transfer, structural mechanics, and design for products and product derivatives. 
  • Analyze and interpret results. Evaluate simulation results, communicate key findings, and identify opportunities to improve existing products and designs. 
  • Deploy models and workflows. Make standardized M&S capabilities accessible to R&D users through AI-enabled tools and standard procedures to help them to address technical challenges. 
  • Validate simulations. Use simulation results to validate models against empirical data and improve prediction 
  • Translate R&D needs into modeling requests. Partner with business unit R&D teams to understand technical challenges and define executable M&S requests with clear inputs, assumptions, and expected outputs. 
  • Train and support users. Develop application guidance, deliver training, and provide first-line support so researchers can use models and workflows effectively. 
  • Connect user needs with core development. Capture unmet needs, recurring issues, and application gaps, and provide actionable feedback to the Core M&S Team. 
  • Contribute to AI/Digital Scientists. Collaborate with modeling specialists and R&D users to develop AI-enabled tools that support scientific and engineering workflows. 

What We Seek: 

Minimum Qualifications 

  • Master’s degree in mechanical engineering, chemical engineering, aerospace engineering
  • Five years of relevant industry experience applying modeling and simulation to scientific or engineering problems 
  • Strong knowledge of fluid dynamics, heat transfer, engineering design, and numerical modeling methods 
  • Three years of hands-on experience with commercial simulation software, such as Ansys, Abaqus, or COMSOL, and/or open-source tools, such as OpenFOAM 
  • Proficiency with CAD software, such as SolidWorks or Creo, including geometry preparation for simulation 
  • Ability to translate R&D questions into well-defined modeling requirements, including inputs, assumptions, and expected outputs 
  • Experience running simulations on high-performance computing (HPC) clusters or in cloud computing environments 
  • Experience validating models and partnering with product or laboratory teams to define and obtain relevant experimental data 
  • Experience deploying established models and workflows for users with varying levels of modeling expertise 
  • Experience training technical users and troubleshooting modeling or scientific application issues 
  • Strong written and verbal communication, collaboration, and stakeholder-management skills 
  • Ability to identify limitations in existing tools, synthesize user feedback, and communicate requirements to modeling specialists and R&D stakeholders 

Preferred Qualifications 

  • Experience in the semiconductor, aerospace, or oil and gas industry 
  • Experience automating simulation or engineering workflows using Python, MATLAB, or C++ 
  • Familiarity with AI-enabled scientific workflows or experience contributing to the development of AI-powered tools for scientific or engineering applications 

Outstanding Candidates Will Have: 

  • Demonstrated success enabling R&D teams outside specialist modeling groups to adopt standardized modeling workflows 
  • Hands-on experience developing AI assistants or agents for scientific or engineering applications 
  • Demonstrated success translating recurring user needs into improvements to models, tools, or scientific workflows 
  • Strong commitment to simulation-driven design, continuous learning, and solving complex technical challenges 
  • Exemplifies Entegris’ core values: Integrity, Innovation, Teamwork, and Dedication to Excellence 

Why Work at Entegris

Lead. Inspire. Innovate. Define Your Future.

Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization — not just when it’s convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.


What We Offer: 

Our total rewards package goes above and beyond just a paycheck. Whether you’re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. 

  • Compensation: The salary range for this position is $112,000 - $164,000 per year. Final offers will be based on the candidate's overall skills and qualifications for the role.
  • Generous 401(K) plan with an impressive employer match 
  • Excellent health, dental, and vision insurance packages to fit your needs 
  • Flexible work schedule and 11 paid holidays a year 
  • Paid time off (PTO) policy that empowers you to take the time you need to recharge 
  • Education assistance to support your learning journey 
  • Values-driven culture with colleagues who rally around People, Accountability, Creativity, and Excellence 

Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration

sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.


At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status. 

Similar Jobs

51 Minutes Ago
Easy Apply
Remote or Hybrid
3 Locations
Easy Apply
105K-150K Annually
Junior
105K-150K Annually
Junior
Cloud • Information Technology • Security • Software • Cybersecurity
Create technical product presentations, gather customer requirements, lead product evaluations and configurations, and design test plans to guide customers toward successful solutions. The role requires cybersecurity and networking expertise, including TCP/IP, DNS, routing, VPNs, and firewalls, along with familiarity with AI tools and AI/ML solutions. This remote Sales Engineer position supports prospective customers and collaborates with sales and technical teams.
Top Skills: AIAi/MlCybersecurityDnsFirewallsGenerative AiLlmsNetworkingRoutingTcp/IpVpn
2 Hours Ago
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
116K-174K Annually
Mid level
116K-174K Annually
Mid level
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Build scalable backend systems and AI-powered conversational products, including agent workflows, tool use, retrieval, orchestration, structured outputs, and asynchronous processing. Develop evaluation, reliability, observability, and production monitoring capabilities for AI systems. Collaborate with customers and cross-functional teams to improve products, participate in on-call support, and optimize quality, latency, cost, and performance.
Top Skills: Amazon SqsAWSCeleryCi/CdDjangoFastapiKafkaKubernetesLarge Language Models (Llms)PythonRabbitMQRedisRetrieval-Augmented Generation (Rag)
2 Hours Ago
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
148K-222K Annually
Senior level
148K-222K Annually
Senior level
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Design and build scalable backend systems and production AI agent applications, including orchestration, retrieval, tool use, evaluation, guardrails, and distributed workflows. Improve reliability, observability, latency, cost, and quality while supporting high-volume workloads. Collaborate directly with customers and cross-functional teams to identify needs, diagnose incidents, and guide product improvements. Participate in on-call rotation and independently own ambiguous technical problems.
Top Skills: Amazon SqsAWSCeleryCi/CdContainersDjangoFastapiGenerative AiKafkaKubernetesLlmsPythonRabbitMQRagRedis

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account