Senior Robotics Software Engineer (Full Stack)

Location/Eligibility: This is a contract position based in Massachusetts.  You must be able to commute to the Framingham area onsite at least 3 days a week.  For this contract, there is no visa sponsorship available.  

The Mission

We are seeking a high-caliber Robotics Engineer for a high-velocity development team. In this role, you will be responsible for the full-stack development of the robotics platform, moving seamlessly between low-level hardware integration and high-level ML model deployment. You will build the "brain" and "nervous system" of the robots, ensuring they perceive, think, and move with precision in real-time.

Core Responsibilities

• Architecture & Development: Design and implement robust, scalable software modules using ROS 2 (Humble/Iron) in both Python and C++.

• ML Deployment: Integrate complex ML model inferences into the robotics pipeline using PyTorch, TensorRT, and JIT to ensure low-latency performance.

• Sensor Fusion: Lead the integration of vision systems (Stereo, RGBD), IMUs, and other peripherals into the ROS 2 ecosystem.

• Navigation & SLAM: Develop and tune spatial awareness capabilities, leveraging Nav2 and vSLAM frameworks for autonomous operation.

• Optimization: Utilize CUDA and cuDNN to optimize compute-heavy tasks on edge devices.

Technical Requirements

• ROS 2 Mastery: Deep, hands-on experience with ROS 2 (not just ROS 1).

• Polyglot Programming: Proficiency in Python is required; strong C++ skills are highly preferred for performance-critical components.

• Full Stack Robotics: Proven ability to handle everything from middleware communication (e.g., LCM) to high-level application logic.

• Hardware Interface: Experience integrating and calibrating vision sensors and IMUs.

• ML Ops for Robotics: Familiarity with deploying and optimizing models for real-time robotic environments.

Preferred Qualifications

• Direct experience with vSLAM (Visual SLAM) algorithms.

• Advanced knowledge of ROS 2 Nav2 stack customization.

• Experience with high-performance middleware beyond standard DDS, such as LCM.

• Proficiency in GPU acceleration using CUDA and cuDNN.
  
  Are you the right fit?

You thrive in high-velocity environments. You prefer shipping code over endless meetings, and you have the "hacker" mindset required to solve unconventional problems, paired with the "engineer" mindset required to build reliable, production-grade systems.  

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