Software Development Engineer- Simulation, Frontier AI Robotics

Amazon • San Francisco, CA

2d

About The Position

We are seeking a Simulation Engineer to join our AI robotics research team
developing foundation models for robotics. You will rapidly develop 3D
physics-based simulation frameworks and tools alongside scientists to enable
training large-scale machine learning models.

At Frontier AI & Robotics, 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

• Bachelor's degree or equivalent
• 5+ years of programming with at least one software programming language experience
• 5+ years of professional software engineering experience developing and shipping production-quality systems in robotics or hardware-integrated environments.
• Extensive experience integrating and deploying industrial automation systems, off-the-shelf robotics platforms, or custom hardware into production environments.
• Experience in at least two of the following areas - networking, GPU programming, Linux system, ROS, realtime system.

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Master's degree in computer science or equivalent
• Master's degree in robotics, mechanical/mechatronics engineering, systems engineering or related field
• Hands-on experience delivering production-quality software within collaborative, cross-functional engineering teams.
• Experience with building/integrating/debugging real-time control system

Responsibilities

• Develop simulations for reinforcement learning, closed-loop simulations and synthetic data generation
• Implement essential robotics features, including accurate modeling of sensors, actuators, and controllers
• Build real-to-sim workflows for dynamic environments and robotics tasks
• Implement simulation features to minimize sim-to-real gaps through domain randomization and system identification
• Create asset toolchains supporting industry-standard formats (URDF, MJCF, USD)
• Collaborate closely with a team of ML researchers to enable large-scale robotics training pipelines

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