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Sr. Robotics Middleware Engineer

ALTEN Technology USA
CompanyALTEN Technology USA
CategoryEngineering
LocationNorth Reading
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted27 Jul 2026
Last verified2 Aug 2026
SourceEmployer career page (greenhouse)
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Description
We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. 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 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 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
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