Robotics Engineer (Robotics Deployment & Control)

Intelliswift - An LTTS Company; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Intelliswift - An LTTS Company seeks a Robotics Software Engineer for on-site roles in Menlo Park, CA or New York, NY. The position focuses on deploying and scaling advanced robotic systems in real-world environments.

Ideal candidates have hands-on experience with robots, sensors, ML deployment, and real-time control, and can bridge software, hardware, and robotics teams to bring projects from concept to deployment.

Qualifications

• Bachelor's or Master's degree in Robotics, CS, EE, ME, or related field.
• Strong Python and C++ software development skills.
• Experience with ROS/ROS2 or similar robotics middleware.
• Hands-on experience with robots, sensors, actuators, and embedded platforms.
• Experience deploying ML or control algorithms to hardware.
• Strong debugging, troubleshooting, and problem-solving skills.
• Ability to work in a fast-paced engineering environment.

Responsibilities

• Develop, deploy, and maintain software for real-world robotic platforms.
• Integrate sensors, actuators, onboard compute, and control frameworks.
• Support bring-up, calibration, testing, and maintenance of robots.
• Deploy and validate ML models on robotic hardware.
• Create simulation-to-hardware deployment workflows.
• Design real-time control and monitoring solutions.
• Conduct system-level testing and performance analysis.
• Collaborate with software, hardware, and robotics teams.
• Document architecture, testing procedures, and deployment processes.

Skills

Python

C++

ROS/ROS2

Embedded systems

Machine learning deployment

Debugging

Troubleshooting

Education

Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field

Tools

ROS/ROS2 Middleware

PyTorch

Job description

Location: Onsite - Menlo Park, CA or New York, NY

Duration: 12-Month W2 Contract

Our client is interested in candidates who have built, integrated, deployed, or supported advanced robotic systems in research, commercial, industrial, autonomous, or robotics-focused environments and can demonstrate successful deployment of software on physical robotic hardware.

We are seeking a highly skilled Robotics Software Engineer to help deploy and scale advanced robotic systems in real-world environments. This role combines robotics software development, hardware integration, machine learning deployment, and real-time control systems.

The ideal candidate has hands-on experience working with physical robots and enjoys solving challenging problems involving perception, control, autonomy, and system reliability.

Required Qualifications

• Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Strong software development skills in Python and C++.
• Experience with ROS/ROS2 or similar robotics middleware frameworks.
• Hands-on experience with robotic systems, sensors, actuators, and embedded computing platforms.
• Experience deploying machine learning or control algorithms to physical hardware.
• Strong debugging, troubleshooting, and problem-solving skills.
• Ability to work effectively in a fast-paced engineering environment.

Preferred Qualifications

• Experience with humanoid, legged, mobile, or autonomous robotic platforms.
• Knowledge of locomotion, manipulation, motion planning, or whole-body control.
• Experience with simulation-based robotics development and validation.
• Familiarity with machine learning frameworks such as PyTorch.
• Experience with teleoperation systems, motion capture, or robotics data collection platforms.
• Experience supporting hardware development, testing, and field deployments.l>

Responsibilities

• Develop, deploy, and maintain software for robotic platforms operating in real-world environments.
• Integrate sensors, actuators, onboard computing systems, and control frameworks.
• Support robot bring-up, calibration, testing, troubleshooting, and maintenance activities.
• Deploy and validate machine learning models on robotic hardware.
• Build and maintain simulation-to-hardware deployment workflows.
• Design and implement real-time control and monitoring solutions.
• Conduct system-level testing and performance analysis.
• Collaborate with cross-functional software, hardware, and robotics engineering teams.
• Document system architecture, testing procedures, and deployment processes.