Robotics Engineer

Qualifications

• A Bachelor’s degree in a relevant field (e.g., Robotics, Computer Science, Mechanical Engineering, Electrical Engineering)
• 3-6 years of full-time working experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning
• Proven experience in developing and implementing scalable AI systems that integrate software and hardware components effectively
• Strong proficiency in programming languages such as Python, C++, or Java, with hands-on experience in robotics frameworks (e.g., ROS) and simulation environments (e.g., Isaac Sim)
• Extensive knowledge of the NVIDIA ecosystem, including experience with their offerings and implementation strategies for robotics and AI applications
• Solid understanding of robotic systems, including kinematics, dynamics, control algorithms, and sensor integration (e.g., LIDAR, cameras)
• Familiarity with machine learning techniques and algorithms, particularly in the context of robotics, automation, and decision-making processes
• Experience designing, building, and maintaining robotics systems and digital twin models, with a focus on real-time data integration and simulation
• Proficiency in using data manipulation and analysis tools (e.g., Pandas, NumPy) to derive insights from sensor data and simulations, along with experience in popular ML frameworks such as TensorFlow or PyTorch
• Experience with DevOps tools (e.g., GIT, Azure DevOps) and Agile methodologies (e.g., Jira) to develop and deploy analytical solutions with multiple features, pipelines, and releases
• Excellent communication skills to clearly convey findings, recommendations, and opportunities for improvement to clients and team members
• Willingness to travel as needed to engage with clients and stakeholders

Responsibilities

• In this role, you will be responsible for delivering state-of-the-art Physical AI solutions

Full Description

Title: Physical AI Engineering & Strategy, Senior Consultant

Position Type: 5 months to begin with potential extensions

Location: On-site in Alpharetta GA

Local candidates only

Specifically, we are seeking an Physical AI specialist with expertise in programming robot dogs and humanoids from the Chinese manufacturer, Unitree, and proficiency with NVIDIA Omniverse.

Merely having experience withrobots will not be sufficient for this role.

The team is in the process of establishing various AI labs, located in Alpharetta.

We are looking for a long-term commitment.

Key Responsibilities

In this role, you will be responsible for delivering state-of-the-art Physical AI solutions.

To Qualify for the Role, You Must Have

• A Bachelor’s degree in a relevant field (e.g., Robotics, Computer Science, Mechanical Engineering, Electrical Engineering).

• 3-6 years of full-time working experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning.

• Proven experience in developing and implementing scalable AI systems that integrate software and hardware components effectively.

• Strong proficiency in programming languages such as Python, C++, or Java, with hands-on experience in robotics frameworks (e.g., ROS) and simulation environments (e.g., Isaac Sim).

• Extensive knowledge of the NVIDIA ecosystem, including experience with their offerings and implementation strategies for robotics and AI applications.

• Solid understanding of robotic systems, including kinematics, dynamics, control algorithms, and sensor integration (e.g., LIDAR, cameras).

• Familiarity with machine learning techniques and algorithms, particularly in the context of robotics, automation, and decision-making processes.

• Experience designing, building, and maintaining robotics systems and digital twin models, with a focus on real-time data integration and simulation.

• Proficiency in using data manipulation and analysis tools (e.g., Pandas, NumPy) to derive insights from sensor data and simulations, along with experience in popular ML frameworks such as TensorFlow or PyTorch.

• Experience with DevOps tools (e.g., GIT, Azure DevOps) and Agile methodologies (e.g., Jira) to develop and deploy analytical solutions with multiple features, pipelines, and releases.

• Excellent communication skills to clearly convey findings, recommendations, and opportunities for improvement to clients and team members.

• Willingness to travel as needed to engage with clients and stakeholders.