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Robotics Engineer

Robotics Engineer

DevRobdehradun, uttarakhand, in
23 hours ago
Job description

Tips : Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.

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.
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    Engineer • dehradun, uttarakhand, in

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