2 days ago
Base Salary
$168k - $227k/yr
Responsibilities
- Own, integrate, extend, and optimize the core simulation runtime and physics engines for production robotics use.
- Develop high-performance solvers and pipelines for rigid-body and deformable-body dynamics, contact-rich manipulation, and locomotion.
- Partner with applied scientists to productionize novel simulation methods into robust, reusable software.
- Optimize simulation performance across CPU and GPU through profiling, parallelization, and GPU-accelerated computation.
- Build and maintain interfaces, APIs, and URDF, SDF, and USD model pipelines connecting simulation with the robotics stack.
- Develop methods and tooling to measure and reduce the simulation-to-reality gap with science and controls teams.
- Establish modular architecture, testing, performance, and maintainability practices for the simulation codebase.
- Support large-scale reinforcement learning and policy-training workloads with reliable, reproducible simulation behavior.
Requirements
- At least 5 years of non-internship professional software development experience.
- At least 5 years of programming experience with one or more software programming languages.
- At least 5 years of experience leading the design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- Experience as a mentor, tech lead, or engineering team leader.
- Preferred: a master's degree or higher in robotics, mechanical or mechatronics engineering, systems engineering, or a related field.
- Preferred: experience with modern physics engines or simulation ecosystems such as Isaac Lab, MuJoCo, Drake, or Newton.
- Preferred: knowledge of rigid-body or deformable-body dynamics, contact mechanics, computational geometry, or numerical methods.
- Preferred: experience with GPU-accelerated computing and high-performance parallel algorithms.
- Preferred: experience with robotics model formats and pipelines including URDF, SDF, and USD.
- Preferred: experience bridging simulation and real-world robotic systems through modeling, validation, and deployment.
- Preferred: experience supporting reinforcement learning or policy-training workflows in simulation.
- Preferred: experience transitioning research or prototypes into production and at scale.
- Preferred: contributions to open-source robotics, simulation, or physics projects.
Benefits
- Comprehensive health insurance including medical, dental, vision, and prescription coverage.
- Basic Life and AD&D insurance, optional supplemental life plans, Employee Assistance Program, mental health support, and a medical advice line.
- Flexible Spending Accounts and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- Compensation includes sign-on payments and restricted stock units in addition to base salary.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.