Architect and lead
the design of complex simulation environments in Isaac Sim, and other industry-standard platforms.
Own the simulation testing strategy
— design comprehensive experiment frameworks to validate robot behavior, stress-test edge cases, and ensure production readiness.
Drive automation initiatives
— build and maintain robust testing pipelines, integrate simulation seamlessly into CI/CD workflows, and establish best practices for the team.
Establish documentation standards and create technical specifications that enable knowledge sharing across engineering teams.

Qualifications

5+ years of professional experience
in robotics simulation or related fields.
Expert-level Python
programming with proven ability to write maintainable, performant code for complex systems.
Deep expertise with ROS/ROS 2
architecture, including custom node development, message design, and system integration.
Production experience
with multiple simulation platforms (Isaac Sim, Gazebo, or equivalent) in real-world robotics projects.
Strong theoretical foundation
in robotics fundamentals — kinematics, dynamics, control theory, and trajectory planning.
Proven track record of
technical leadership
— ability to make architectural decisions, drive technical discussions, and influence engineering direction.
Experience working in
fast-paced startup or product-driven environments
with ability to balance technical excellence with business priorities.

Bonus Skills:

Professional experience with
industrial robotics
(KUKA, FANUC, ABB, Universal Robots) and robot programming languages (KRL, RAPID, LS).
Advanced
3D modeling and CAD
skills (Blender, SolidWorks, Fusion 360) including URDF/SDF creation and optimization.
Hands-on experience with
GPU-accelerated simulation
and physics engine optimization (PhysX, Bullet, ODE).
Machine learning/AI integration
in simulation environments — reinforcement learning, sim-to-real transfer, or synthetic data generation.
DevOps proficiency
— Docker, Kubernetes, GitHub Actions, infrastructure-as-code for simulation deployments.
Experience with
cloud-based simulation
infrastructure (AWS, GCP) and distributed computing for parallel testing.
Track record of
open-source contributions
to robotics projects or active participation in robotics research communities.

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Salary: Not disclosed

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