Senior Level Senior Simulation Engineer Jobs
Senior level senior simulation engineer jobs put experienced engineers in charge of simulation architecture, methodology ownership, and the cross-functional teams or programs that depend on their technical direction. Openings concentrate across Technology & Software, Manufacturing, and Science & Research, with a mix of on-site, hybrid, and remote positions available, and employers like NVIDIA, ASM, and Siemens hiring at this level now.
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DESCRIPTION
Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
We are seeking a Simulation Applied Scientist to advance the state of the art in physics-based simulation for advanced robotics systems. This role blends research and practical engineering to develop novel simulation methodologies that accelerate robot development and reduce the simulation-to-reality gap, translating theoretical advances into real-world impact.
The ideal candidate will work at the intersection of theory and practice, contributing research that directly informs deployed robotic systems. You will join a team that is redefining how robots learn, adapt, and interact with complex, real-world environments.
This role uniquely combines fundamental research with real-world deployment. You will pursue core research questions in physics-based simulation while seeing your work translated into production systems, validated on real hardware, and informed by deployment data. Working alongside Simulation Software Engineers, you will help transform research ideas into scalable, production-grade simulation capabilities that directly impact how robots are designed, trained, and deployed.
Key job responsibilities
- Advance physics-based simulation fidelity for contact-rich manipulation and locomotion
- Design and build high-performance simulation tools integrated into a production robotics stack
- Translate research ideas into robust, scalable software pipelines
- Develop methods to quantify and reduce simulation-to-reality gaps across design, safety, and control
- Architect scalable simulation solutions for rigid and deformable body dynamics
- Build simulation pipelines optimized for large-scale reinforcement and policy learning
- Establish frameworks for continuous simulation improvement using real-world deployment data
- Collaborate with engineering, science, and safety teams on simulation requirements and validation
About the team
Our team is building a comprehensive simulation platform for advanced robotics development, combining locomotion and manipulation capabilities. We operate at the cutting edge of physics simulation, reinforcement learning, and sim-to-real transfer, collaborating with world-class robotics engineers, applied scientists, and mechanical designers in a fast-paced, innovation-driven environment.
BASIC QUALIFICATIONS
- Experience programming in Java, C++, Python or related language
- PhD in Computer Science, Robotics, Mechanical Engineering, or related field
- Strong publication record in simulation, robotics, or computer graphics
- Demonstrated ability to advance state of the art through novel research
- Deep expertise in physics-based simulation, including rigid and deformable dynamics, contact mechanics, computational geometry, and numerical methods
- Experience designing and optimizing physics-based simulation systems for high-performance and large-scale computing environments
- Working knowledge of modern physics engines such as MuJoCo, Isaac Lab, Drake, and Newton
- Proven ability to bridge simulation and real-world robotic systems, from modeling and validation through deployment
PREFERRED QUALIFICATIONS
- Experience with reinforcement learning and policy training in simulation
- Familiarity with differentiable physics, learned simulation models, or neural physics engines
- Background in contact-rich manipulation or legged locomotion simulation
- Experience with robotics model formats and pipelines (e.g., URDF, SDF, USD)
- Expertise in GPU-accelerated computing and algorithms
- Experience deploying simulation-trained policies on real robotic systems
- Demonstrated research leadership, from project conception through publication and deployment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, MA, N.Reading - 167,100.00 - 226,100.00 USD annually
USA, WA, BELLEVUE - 167,100.00 - 226,100.00 USD annually
DESCRIPTION
Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
We are seeking a Simulation Applied Scientist to advance the state of the art in physics-based simulation for advanced robotics systems. This role blends research and practical engineering to develop novel simulation methodologies that accelerate robot development and reduce the simulation-to-reality gap, translating theoretical advances into real-world impact.
The ideal candidate will work at the intersection of theory and practice, contributing research that directly informs deployed robotic systems. You will join a team that is redefining how robots learn, adapt, and interact with complex, real-world environments.
This role uniquely combines fundamental research with real-world deployment. You will pursue core research questions in physics-based simulation while seeing your work translated into production systems, validated on real hardware, and informed by deployment data. Working alongside Simulation Software Engineers, you will help transform research ideas into scalable, production-grade simulation capabilities that directly impact how robots are designed, trained, and deployed.
Key job responsibilities
- Advance physics-based simulation fidelity for contact-rich manipulation and locomotion
- Design and build high-performance simulation tools integrated into a production robotics stack
- Translate research ideas into robust, scalable software pipelines
- Develop methods to quantify and reduce simulation-to-reality gaps across design, safety, and control
- Architect scalable simulation solutions for rigid and deformable body dynamics
- Build simulation pipelines optimized for large-scale reinforcement and policy learning
- Establish frameworks for continuous simulation improvement using real-world deployment data
- Collaborate with engineering, science, and safety teams on simulation requirements and validation
About the team
Our team is building a comprehensive simulation platform for advanced robotics development, combining locomotion and manipulation capabilities. We operate at the cutting edge of physics simulation, reinforcement learning, and sim-to-real transfer, collaborating with world-class robotics engineers, applied scientists, and mechanical designers in a fast-paced, innovation-driven environment.
BASIC QUALIFICATIONS
- Experience programming in Java, C++, Python or related language
- PhD in Computer Science, Robotics, Mechanical Engineering, or related field
- Strong publication record in simulation, robotics, or computer graphics
- Demonstrated ability to advance state of the art through novel research
- Deep expertise in physics-based simulation, including rigid and deformable dynamics, contact mechanics, computational geometry, and numerical methods
- Experience designing and optimizing physics-based simulation systems for high-performance and large-scale computing environments
- Working knowledge of modern physics engines such as MuJoCo, Isaac Lab, Drake, and Newton
- Proven ability to bridge simulation and real-world robotic systems, from modeling and validation through deployment
PREFERRED QUALIFICATIONS
- Experience with reinforcement learning and policy training in simulation
- Familiarity with differentiable physics, learned simulation models, or neural physics engines
- Background in contact-rich manipulation or legged locomotion simulation
- Experience with robotics model formats and pipelines (e.g., URDF, SDF, USD)
- Expertise in GPU-accelerated computing and algorithms
- Experience deploying simulation-trained policies on real robotic systems
- Demonstrated research leadership, from project conception through publication and deployment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, MA, N.Reading - 167,100.00 - 226,100.00 USD annually
USA, WA, BELLEVUE - 167,100.00 - 226,100.00 USD annually
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Senior Level Senior Simulation Engineer Jobs: Frequently Asked Questions
How do I get a senior level senior simulation engineer job?
Employers at this level expect candidates to demonstrate ownership of simulation environments end to end, not just execution of assigned tasks. Highlight projects where you drove methodology decisions, resolved systemic model accuracy issues, or defined simulation standards adopted across a program. Evidence of mentoring junior engineers and collaborating with systems, hardware, or test teams signals the cross-functional maturity these roles require.
Which companies hire senior level senior simulation engineers?
Companies hiring senior level senior simulation engineers right now include NVIDIA, ASM, and Siemens, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes primarily from aerospace and defense primes, automotive OEMs and Tier 1 suppliers, advanced manufacturing firms, and technology companies building complex physical or digital twin systems.
Are there remote senior level senior simulation engineer jobs?
Yes, though availability varies by industry and employer. About 0% of senior level senior simulation engineer openings are remote or hybrid as of November 2026, reflecting growing acceptance of distributed engineering teams. Hardware-dependent simulation roles tied to physical test rigs or lab environments tend to require more on-site presence than purely software-based modeling positions.
What makes a senior simulation engineer role senior level?
Senior level roles are defined by scope and ownership rather than task completion. A senior simulation engineer sets modeling strategy, owns simulation fidelity standards, and is accountable for outcomes across an entire program or product line. These roles also involve mentoring less experienced engineers, influencing toolchain and methodology decisions, and serving as a technical authority in cross-functional design and review processes.
Which industries hire the most senior level senior simulation engineers?
Senior level senior simulation engineer roles concentrate in Technology & Software, Manufacturing, and Science & Research, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their products, whether aircraft, vehicles, defense systems, or complex machinery, demand rigorous simulation-driven validation before physical prototypes are built or fielded.