To Qualify for the Role, You Must Have
Bachelor s degree in a relevant discipline such as Robotics, Computer Science, Mechanical Engineering, or Electrical Engineering.
3 6 years of professional experience in areas including robotics, digital twins, computer vision, deep learning, reinforcement learning, and world foundation models such as VLA and VA.
Demonstrated experience designing and deploying scalable AI systems that effectively integrate software and hardware components.
Strong programming proficiency in Python, C++, and/or Java, with hands-on experience using robotics frameworks (e.g., ROS) and simulation platforms (e.g., NVIDIA Isaac Sim).
Deep familiarity with the NVIDIA ecosystem, including practical experience leveraging NVIDIA technologies for robotics and AI solution development.
Solid understanding of robotic systems, including kinematics, dynamics, control algorithms, and sensor integration such as LiDAR and vision systems.
Working knowledge of machine learning methods applied to robotics, automation, and intelligent decision-making.
Experience designing, building, and maintaining robotics platforms and digital twin solutions, with an emphasis on real-time data integration and simulation.
Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy), along with hands-on experience using machine learning frameworks such as TensorFlow or PyTorch.
Experience with DevOps and delivery tools (e.g., Git, Azure DevOps) and Agile practices (e.g., Jira) to support multi-feature development, pipelines, and releases.
Strong communication skills, with the ability to clearly present technical insights, recommendations, and opportunities to both clients and internal teams.
Willingness to travel as needed to support client engagements and stakeholder collaboration.
Never miss an opportunity! Create an alert based on the job you applied for.
