Senior Modeling and Simulation Engineer

About Integer Technologies Integer is a science and technology research and development organization focused on complex problems. Candidates must be able to conduct research, learn advanced concepts across engineering disciplines, and communicate findings to experts and non-experts. Company Benefits Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Meaning Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employee’s thousands of dollars annually. Relocation assistance available. Base salaries which exceed local & national industry averages. Year-end performance-based bonuses. 401(k) with company matching; no funny business. Paid Vacation Paid Sick Leave Paid Holidays Company Perks Startup culture with the stability of a large company. Integer’s business plan has years of time-phased contracted work, alleviating the would-be risk from a traditional small company. Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth. Friendly atmosphere where people enjoy not only their work and what they’re creating but enjoy helping each other as well. About the role Integer Technologies is hiring a Senior Modeling and Simulation Engineer who will report to the Industry 4.0 Engineering Manager within the Digital Engineering Division. In this role you will build and develop the models and simulation tools that shape the next generation of safe, high-performance battery systems. You will work across electrochemistry, thermal behavior, digital engineering, and machine learning scientific domains to help advance novel battery technologies from research into defensible system designs for the DoD. Key objectives for the role are: Develop high-fidelity electrochemical and thermal models to predict battery performance, cycle-life degradation, and safety under abuse conditions. Bridge physics-based modeling with Model-Based Systems Engineering (MBSE) workflows to create robust digital engineering artifacts. Leverage AI/ML to develop surrogate and reduced-order models that link component-level behavior to system-level performance. Collaborate with cross-functional teams to integrate battery models into larger system architectures for defense and advanced commercial applications. What you'll do Electrochemical & Thermal Modeling: Develop and validate complex multiphysics models focusing on battery electrochemistry, thermal runaway, and cell-to-cell propagation to ensure system survivability and abuse tolerance. Systems Architecture & MBSE: Develop and manage system models using MBSE methodologies (SysML v1/v2) to define requirements, architecture, and interfaces. AI/ML Integration: Build and train surrogate and reduced-order models using Python frameworks (PyTorch, scikit-learn) to accelerate simulation times and bridge digital engineering with operational data. BMS Algorithm Support: Support the development of Battery Management Systems (BMS) by modeling and validating algorithms for State of Charge (SOC) and State of Health (SOH) estimation. Testing & Validation Integration: Interface with test engineering to utilize data from battery testing cyclers for continuous model calibration and validation. Technical Documentation & Presentation: Present simulation results, architectural solutions, and risk assessments to technical teams and non-technical stakeholders. Required Qualifications U.S. citizenship and the ability to obtain and maintain a U.S. DoD Secret clearance (eligibility for Top Secret is a plus). Bachelor’s degree in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a related field. 5+ years of professional experience in scientific modeling, simulation, or digital engineering. Experience developing and validating physics-based or multiphysics models using tools such as COMSOL, MATLAB/Simulink, Simscape, Simcenter, ANSYS, or comparable platforms. Strong programming skills in Python for automation and data analysis, with experience in AI/ML frameworks (TensorFlow, PyTorch, or Scikit-learn). Excellent problem-solving skills, attention to detail, and ability to give concise briefings to stakeholders. Desired Qualifications Masters or PhD in a relevant engineering or scientific discipline is considered a plus. Experience in battery systems, electrochemistry, energy storage, reactive transport, thermal sciences, or another relevant physical domain. Candidates with strong modeling fundamentals and an interest in developing battery expertise are encouraged to apply. Experience with Hardware-in-the-Loop (HIL) simulation and FPGAs is considered a plus. Experience in thermal & mechanical Integration: Develop designs for the integration of pack-level thermal management systems (ePCM, cooling plates), potting/encapsulation, and structural adhesives is considered a plus. Experience in developing and maintaining enterprise software in production.