Robotics Engineer

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Responsibilities

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.