As a Sr. Robotics Middleware Engineer you will be responsible for; We are seeking a Senior Robotics Middleware Engineer to evaluate, prototype, and optimize next-generation communication middleware for advanced robotic systems. This role will focus on assessing emerging robotics transport technologies, including Zenoh, and improving high-throughput, low-latency messaging architectures on NVIDIA Jetson-class embedded platforms. The ideal candidate will bring deep expertise in ROS 2 middleware, DDS internals, shared-memory communication, and performance optimization for embedded Linux environments. - Lead a comprehensive build-versus-adopt evaluation of Zenoh as a robotics communication transport, including: - Standalone deployment models - Integration as an RMW (ROS Middleware) layer within ROS 2 - Technical recommendations supported by quantitative benchmarking and analysis - Design, implement, and optimizezero-copy and shared-memory messaging architectures to maximize communication performance on NVIDIA Jetson platforms. - Analyze and improve messaging pipelines through: - Memory layout optimization - Serialization efficiency enhancements - Transport-layer tuning - Resource utilization optimization - Develop and execute benchmarking frameworks to measure: - End-to-end latency - Throughput - CPU utilization - GPU overhead - Overall system performance versus existing communication architectures - Collaborate with robotics, software, and systems engineering teams to identify and implement scalable middleware solutions for production robotic applications. - Document findings, benchmark results, architectural recommendations, and implementation best practices. Qualifications; - Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field, or equivalent practical experience. Deep hands-on experience with: - ROS 2 middleware architecture - RMW implementations - DDS internals and transport mechanisms Experience with Zenoh or comparable publish/subscribe communication frameworks, including: - eCAL - iceoryx - Cyclone DDS - Fast DDS - Strong proficiency in modern C++ development. Extensive knowledge of: - Shared-memory inter-process communication (IPC) - Zero-copy messaging techniques - High-performance distributed systems - Experience profiling and optimizing software performance on embedded Linux and ARM-based platforms. - Strong analytical and benchmarking skills with a data-driven approach to architectural decision-making. Preferred Qualifications; - Experience developing and optimizing applications on NVIDIA Jetson platforms. - Understanding of GPU/CUDA memory management and GPU-aware communication strategies. - Experience with real-time operating systems and low-latency robotics applications. - Background in autonomous systems, robotics platforms, or edge computing environments. Salary Range: $135K-$170K The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Note: This is an ON-SITE position. The individual can sit either in North Reading, MA or Woburn, MA.