SDE - Simulation, Frontier AI Robotics

Amazon • San Francisco, CA

5h

About The Position

This is an ideal role for a software engineer looking to break into the frontier
of AI and Robotics. You will join a high-performing simulation team, working
alongside senior simulation specialists, roboticists, and scientists. While you
don't need years of professional robotics experience, you must possess strong
software engineering fundamentals and a genuine passion for 3D graphics,
physics, or machine learning for physical AI. We will provide the domain
mentorship; you bring the coding excellence and the ability to learn complex
systems quickly.

In this role, you will build the software tools, infrastructure, and features
that power our synthetic data pipelines and reinforcement learning environments.
You will write robust, production-quality code to support the generation of
multi-modal training datasets and assist in optimizing simulation workflows. You
will work across the stack from the Python pipeline tooling to hands-on with
multiple physics-based simulators.

At Frontier AI & Robotics (FAR), we're not just advancing robotics – we're
reimagining it from the ground up. Our team is building the future of
intelligent robotics through frontier foundation models and end-to-end learned
systems. We tackle some of the most challenging problems in AI and robotics,
from developing sophisticated perception systems to creating adaptive
manipulation strategies that work in complex, real-world scenarios.

What sets us apart is our unique combination of ambitious research vision and
practical impact. We leverage Amazon's massive computational infrastructure and
rich real-world datasets to train and deploy state-of-the-art foundation models.
Our work spans the full spectrum of robotics intelligence – from multimodal
perception using images, videos, and sensor data, to sophisticated manipulation
strategies that can handle diverse real-world scenarios. We're building systems
that don't just work in the lab, but scale to meet the demands of Amazon's
global operations.

Join us if you're excited about pushing the boundaries of what's possible in
robotics, working with world-class researchers, and seeing your innovations
deployed at unprecedented scale.

Requirements

• 3+ years of non-internship professional software development experience
• Bachelor's degree or foreign equivalent in computer science or equivalent
• Proficiency in at least one modern programming language (strongly prefer Python)
• Knowledge of computer science fundamentals (data structures, algorithms, object-oriented design)
• Demonstrated interest or coursework in 3D domains (e.g., Computer Graphics, Computer Vision, Robotics, Game Development).

Nice To Haves

• Understanding of Linear Algebra (matrices, vectors, coordinate transforms) and 3D math.
• Personal or academic projects using 3D tools (e.g, Blender, Unity, Unreal) or Machine Learning frameworks (PyTorch).
• A passion for robotics and a desire to build intelligent systems that can positively impact the world.

Responsibilities

• Implement and test features for synthetic data generation pipelines (e.g., randomizing lights, textures, and object placements).
• Develop and maintain robust developer tooling (CLIs, visualization scripts, data converters) to accelerate research workflows.
• Integrate 3D assets and robot models into simulation environments, ensuring correct formats and properties.
• Write clean, maintainable, and efficient code that adheres to best practices.
• Debug simulation issues and optimize performance in collaboration with senior engineers.
• Collaborate with the infrastructure team to ensure simulations scale efficiently for massive data generation

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level