Senior Simulation Engineer Jobs
Senior Simulation Engineer jobs are open across aerospace, defense, automotive, and medical device industries, from mid-level to principal and staff, with specializations in computational fluid dynamics, finite element analysis, and multi-body dynamics. Find a role that fits from the openings below and apply directly.
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Showing 5 of 131+ Senior Simulation Engineer jobs
Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
We are seeking an experienced Senior or Principal Data Scientist to lead the development of advanced simulation models that power next-generation robotic warehouse systems. In this role, you will build high-fidelity simulations of large-scale robotic fleets, optimize system performance, and inform strategic product and operational decisions.
This is a highly cross-functional position spanning data science, robotics, operations research, and distributed systems, where your work will directly impact efficiency, throughput, and scalability of real-world automation systems.
What we do
We design, test, and deploy advanced robotic systems that improve warehouse throughput, efficiency, and reliability at scale. By reducing reliance on physical testing, we accelerate innovation cycles and drive significant operational savings and productivity gains across real-world production environments. Our team tackles complex automation and optimization challenges alongside world-class engineers and scientists, with the opportunity to directly influence cutting-edge systems deployed in the field.
What you’ll do
Design and develop simulation frameworks for robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human-robot interaction.
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale.
Develop predictive and prescriptive models to optimize throughput, latency, and resource utilization.
Partner with robotics, software, and operations teams to:
Evaluate new algorithms (routing, task assignment, scheduling).
Test system changes before production deployment.
Identify bottlenecks and failure modes.
Create digital twins of warehouse environments to enable scenario testing and capacity planning.
Apply machine learning and statistical techniques to improve simulation realism and calibration.
Deliver clear insights and recommendations to technical and executive stakeholders.
Establish best practices for model validation, experimentation, and reproducibility.
What you'll need
Required Qualifications
MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field.
Minimum of 5 years (Senior) or minimum of 8 years (Principal) of experience in:
Simulation, modeling, or systems optimization.
Complex, distributed systems.
Strong experience with:
Discrete-event simulation (DES) or agent-based modeling.
Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools).
Solid understanding of:
Probability, stochastic processes, and statistics.
Optimization techniques (LP, MIP, heuristics, metaheuristics).
Experience working with large datasets and building data pipelines.
Ability to translate real-world system behavior into computational models.
Preferred Qualifications
Robotics, warehouse automation, logistics, or supply chain systems.
Fleet optimization or multi-agent systems.
Reinforcement learning for decision-making.
Path planning, task allocation, and scheduling algorithms.
Digital twin architecture.
Experience with C++ or high-performance systems for large-scale simulation.
Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing.
Background in experimentation platforms or A/B testing in operational systems.
Principal-Level Expectations (in addition to above)
Define and drive the long-term simulation and modeling strategy.
Architect scalable simulation platforms used across the organization.
Influence product and operational strategy through data-driven insights.
Mentor and grow a team of data scientists and engineers.
Serve as a subject matter expert in simulation, optimization, and system modeling.
Tech Stack
Python (NumPy, Pandas, SciPy, SimPy).
Data platforms (Snowflake, Databricks).
Visualization (Grafana, Tableau).
Cloud infrastructure (GCP).
Optional: Python, C# and C++.
Our environment
Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
#LI-JS1
#LI-Hybrid
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
We are seeking an experienced Senior or Principal Data Scientist to lead the development of advanced simulation models that power next-generation robotic warehouse systems. In this role, you will build high-fidelity simulations of large-scale robotic fleets, optimize system performance, and inform strategic product and operational decisions.
This is a highly cross-functional position spanning data science, robotics, operations research, and distributed systems, where your work will directly impact efficiency, throughput, and scalability of real-world automation systems.
What we do
We design, test, and deploy advanced robotic systems that improve warehouse throughput, efficiency, and reliability at scale. By reducing reliance on physical testing, we accelerate innovation cycles and drive significant operational savings and productivity gains across real-world production environments. Our team tackles complex automation and optimization challenges alongside world-class engineers and scientists, with the opportunity to directly influence cutting-edge systems deployed in the field.
What you’ll do
Design and develop simulation frameworks for robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human-robot interaction.
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale.
Develop predictive and prescriptive models to optimize throughput, latency, and resource utilization.
Partner with robotics, software, and operations teams to:
Evaluate new algorithms (routing, task assignment, scheduling).
Test system changes before production deployment.
Identify bottlenecks and failure modes.
Create digital twins of warehouse environments to enable scenario testing and capacity planning.
Apply machine learning and statistical techniques to improve simulation realism and calibration.
Deliver clear insights and recommendations to technical and executive stakeholders.
Establish best practices for model validation, experimentation, and reproducibility.
What you'll need
Required Qualifications
MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field.
Minimum of 5 years (Senior) or minimum of 8 years (Principal) of experience in:
Simulation, modeling, or systems optimization.
Complex, distributed systems.
Strong experience with:
Discrete-event simulation (DES) or agent-based modeling.
Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools).
Solid understanding of:
Probability, stochastic processes, and statistics.
Optimization techniques (LP, MIP, heuristics, metaheuristics).
Experience working with large datasets and building data pipelines.
Ability to translate real-world system behavior into computational models.
Preferred Qualifications
Robotics, warehouse automation, logistics, or supply chain systems.
Fleet optimization or multi-agent systems.
Reinforcement learning for decision-making.
Path planning, task allocation, and scheduling algorithms.
Digital twin architecture.
Experience with C++ or high-performance systems for large-scale simulation.
Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing.
Background in experimentation platforms or A/B testing in operational systems.
Principal-Level Expectations (in addition to above)
Define and drive the long-term simulation and modeling strategy.
Architect scalable simulation platforms used across the organization.
Influence product and operational strategy through data-driven insights.
Mentor and grow a team of data scientists and engineers.
Serve as a subject matter expert in simulation, optimization, and system modeling.
Tech Stack
Python (NumPy, Pandas, SciPy, SimPy).
Data platforms (Snowflake, Databricks).
Visualization (Grafana, Tableau).
Cloud infrastructure (GCP).
Optional: Python, C# and C++.
Our environment
Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
#LI-JS1
#LI-Hybrid
About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.Senior Simulation Engineer Jobs by Experience Level
See All 131+ Senior Simulation Engineer Jobs
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Find JobsSenior Simulation Engineer Job Market
Who's Hiring
- Northrop Grumman18
- Raytheon7
- NVIDIA6
- Lockheed Martin6
- General Motors (GM)5
Top Industries Hiring
- Technology & Software12
- Electronics & Hardware7
- Science & Research4
- Retail3
- Education3
What Employers Look For
The qualifications that appear most often in senior simulation engineer jobs.
- Bachelor's or master's degree in mechanical, aerospace, or a related engineering discipline
- Proficiency in at least one major simulation platform such as ANSYS, Abaqus, or Nastran
- Five or more years of experience running and validating high-fidelity simulation models
- Demonstrated experience with model correlation to physical test data
- Familiarity with scripting or automation using Python, MATLAB, or equivalent tools
- Experience working within product development cycles in aerospace, automotive, or defense
Tips for Your Senior Simulation Engineer Job Search
Tailor your resume to solver tools
Hiring managers scan for the specific simulation solvers you know, whether ANSYS, Abaqus, MATLAB, or Simulink. List the version or module where relevant and tie each tool to a project outcome, not just a task.
Quantify model validation results
Vague claims about simulation accuracy get skipped. Replace phrases like 'improved model fidelity' with specifics about error reduction, correlation to test data, or how your results influenced a design decision upstream.
Apply early to roles that fit
Migrate Mate lists senior simulation engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by physics domain
Structural, thermal, fluid, and controls simulation are distinct specializations. Filter openings by the physics domain you know deepest so you're not competing against candidates with unrelated solver expertise in the same application pool.
Prepare a technical portfolio before interviews
Many senior simulation engineer interviews include a case study or a live review of past models. Have two or three documented examples ready that show your mesh strategy, boundary condition choices, and how results were validated against physical tests.
Negotiate scope before accepting an offer
Ask specifically about hardware access, HPC cluster allocation, and whether the role includes experimental correlation work. Senior simulation engineers often find that day-to-day scope differs significantly from the job description once they start.
Senior Simulation Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior simulation engineers?
The companies hiring the most senior simulation engineers right now include Northrop Grumman, Raytheon, and NVIDIA, with the largest share of openings in California, Virginia, and Michigan, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in aerospace, defense, and automotive manufacturing sectors.
How many senior simulation engineer jobs are remote?
About 21% of senior simulation engineer openings are fully remote or hybrid as of August 2026, making it a less remote-heavy role than purely software-focused engineering positions. Controls and system-level simulation roles tend to offer the most remote flexibility, while structural and physical test-correlation roles more often require on-site access to hardware and lab data.
How do you become a senior simulation engineer?
Start with a degree in mechanical, aerospace, or a closely related engineering field, then build hands-on experience running simulations in at least one major platform like ANSYS or Abaqus. Move into increasingly complex projects that require model validation against physical test data, develop scripting skills to automate workflows, and build a record of influencing design decisions with your analysis results.
Can you get hired as a senior simulation engineer with limited experience?
It's difficult to land a senior-level role without substantial hands-on simulation experience, but you can close gaps by focusing on a specific physics domain where your background is strongest, building a documented portfolio of models you've run and validated, and targeting smaller companies or government contractors where simulation teams are lean and breadth of contribution matters more than pure seniority.
What does the senior simulation engineer interview process look like?
Most processes include an initial screening call focused on your simulation background and tool experience, followed by a technical interview where you walk through past projects in detail, including your modeling approach and how results were validated. Many employers add a take-home or live case study that tests your ability to set up a model, justify your assumptions, and interpret results under realistic constraints.
Where can I find and apply to senior simulation engineer jobs?
You can find and apply to senior simulation engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Find the roles that match your physics domain, toolset, and industry background, then apply directly to each listing.
See All 131+ Senior Simulation Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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