Amazon · 3 days ago
Applied Scientist II, Physics Simulation, Amazon Industrial Robotics
Middlesex County, MA
Full-time
Onsite
Entry, Mid Level
$143K/yr - $193K/yr
2+ years expAmazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems. The Applied Scientist will focus on developing and applying cutting-edge simulation methodologies for advanced robotics systems, including research and development of physics-based simulation techniques and machine learning approaches.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
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
Qualification
Required
Currently has, or is in the process of obtaining, a PhD in computer science, computer engineering, or related field
2+ years of science, technology, engineering or related field experience
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
Strong programming skills in C++ and Python, with an emphasis on maintainable, performance-critical code
Working knowledge of modern physics engines such as MuJoCo, Isaac Lab, Drake, and Newton
Preferred
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
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-02-13
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2026-02-13
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