Software Engineer
Genesis AI
Software Engineer
Genesis AI
Robotics simulation and AI foundation platform
Design, build, and maintain foundational frameworks and tools to empower expert teams to experiment fast and turn ideas into full-fledged and production-ready systems.
Collaborate with expert teams to validate uses cases and build robust solutions, bringing cross-team perspective and aiming for modular and reusable components.
Identify and mitigate high-level code design flaws and development workflow inefficiencies that cause friction, hinder productivity, and create silos across the organization.
Advocate for good practices and maintain high code quality through code reviews, documentation, and training.
Excellent software engineering skills (e.g., in Python, Go, or Rust).
Extensive experience designing, building, and maintaining modular and reusable systems.
Experience collaborating with engineers and researchers of any fields, understanding complex requirements, and providing clear and simple solutions.
Ability to implement large-impact changes across the organization with minimal disruption.
Experience building internal tooling to accelerate AI research and development workflows (e.g., debugging, evaluation, experiment tracking and versioning, CI automation, etc.).
Robotics simulation and AI foundation platform
Genesis AI provides a unified platform that combines robotics simulation, high-fidelity rendering, physics, and foundation models to support development in robotics and AI. It operates as a platform-as-a-service and licensing option so teams can run large-scale simulations, train reinforcement learning agents, and develop generative models in realistic virtual environments where physics, geometry, rendering, and AI tooling work together. It differs from others by bringing together core capabilities from robotics simulation, real-time rendering, computational geometry, and AI model development into one cohesive platform, backed by a team with experience at Havok, Unity, Autodesk, Google, and Epic Games. Its goal is to become a foundational technology layer that speeds up robotics and AI innovation by enabling efficient simulation, testing, and model development in a single environment.
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