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ALTEN Technology USA is an engineering company delivering solutions across aerospace, medical devices, robotics, automotive, and other sectors. As a Senior Robotics Middleware Engineer, you will evaluate, prototype, and optimize next-generation communication middleware for advanced robotic systems, with focus on emerging technologies like Zenoh and performance optimization for embedded Linux environments on NVIDIA Jetson platforms. What You'll Do • Lead a comprehensive build-versus-adopt evaluation of Zenoh as a robotics communication transport, including standalone deployment and integration as an RMW layer within ROS 2 • Design, implement, and optimize zero-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, transport-layer tuning, and resource utilization • Develop and execute benchmarking frameworks to measure end-to-end latency, throughput, CPU utilization, GPU overhead, and overall system performance • 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 What You Need • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or equivalent practical experience • Deep hands-on experience with ROS 2 middleware architecture, RMW implementations, and DDS internals and transport mechanisms • Experience with Zenoh or comparable publish/subscribe communication frameworks such as eCAL, iceoryx, Cyclone DDS, or Fast DDS • Strong proficiency in modern C++ development • Extensive knowledge of shared-memory inter-process communication, zero-copy messaging techniques, and 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 Nice to Have • 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 $135,000–$170,000 per year. Actual salary dependent on location, candidate knowledge, qualifications, skills, education, training, and experience. Comprehensive benefits and career growth opportunities provided.