Staff Simulation Engineer - AI Robotics & RL Training

Amazon; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Equity and sign-on payments

Full range of medical benefits

Financial benefits

Job summary

Amazon is seeking a Member of Technical Staff Simulation Engineer to join our AI robotics research team in San Francisco, California. You will develop 3D simulations for training large-scale machine learning models, collaborate with scientists, and build workflows for dynamic robotics tasks.

The ideal candidate has over 5 years of software development experience, expertise in Python and C++, and strong qualifications in mentoring and team leadership. A competitive salary ranging from $150,000 to $300,000 annually is offered.

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of leading design or architecture of new and existing systems experience.
• Expertise in optimizing machine learning models for production.

Responsibilities

• Develop simulations for reinforcement learning and synthetic data generation.
• Implement essential robotics features including accurate modeling of sensors.
• Collaborate with ML researchers to enable large-scale robotics training pipelines.

Skills

Software development

Mentoring and team leadership

Python programming

C++ programming

CUDA programming

Optimization of ML models

Education

Bachelor's degree in computer science or equivalent

Tools

TensorRT

NVIDIA's ML stack

Job description

Amazon is seeking a Member of Technical Staff Simulation Engineer to join our AI robotics research team in San Francisco, California. You will develop 3D simulations for training large-scale machine learning models, collaborate with scientists, and build workflows for dynamic robotics tasks.

The ideal candidate has over 5 years of software development experience, expertise in Python and C++, and strong qualifications in mentoring and team leadership. A competitive salary ranging from $150,000 to $300,000 annually is offered.