Embedded Software Engineer - Real-Time Linux

Job description

# Company Overview Maven Robotics is building the world’s leading general-purpose AI robots. We are currently operating in stealth and are growing the world’s best team in AI robotics. We are looking for self-starters that are the world’s best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination. # Role Description We are looking to recruit an exceptional **Embedded Software Engineer - Real-Time Linux** to help build the foundational real-time Linux platform powering the brains of our autonomous robotics systems. This is a critical role for developing high-performance, GPU-accelerated compute platforms tailored to robotics and machine learning workloads. In this role you will: - Design, adapt, and integrate POSIX-compliant systems for advanced robotics and machine learning (ML) applications. - Develop the framework for integration of controls, machine learning and supporting algorithms with real-time tasks. - Collaborate with Controls and Machine Learning engineers to develop and optimize high performance autonomous systems. - Develop and maintain drivers for integration with real-time robotic middleware. - Build tools to monitor, verify and optimize system performance, ensuring reliable and deterministic behavior. - Contribute to a deterministic and reproducible build and test environment for efficient development. - Work with functional safety engineers to support standards compliance, audit readiness, and traceability. - Develop robust solutions for over-the-air (OTA) updates, calibration management and software deployment strategies. - Tackle complex, real-world challenges alongside a multidisciplinary team of experts. # Qualifications *Must-have:* - MS in computer engineering, computer science or a related discipline. - Production experience with bringup and configuration of Linux PREEMPT_RT and similar operating systems (e.g. QNX). - Strong understanding of Linux device trees, scheduling and memory management. - Experience with multicore ARM SoCs, interprocess/intercore communications and message passing. - Proficiency in C and C++ - Experience with ROS 2 middleware and alternatives (Eg. FastDDS, CycloneDDS, Zenoh). - Familiarity with container technologies, container runtimes and related concepts (Eg. Docker, Containerd, Overlayfs). - Understanding of toolchains (compilers, linkers, debuggers, static analysis tools) - Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions. - Proactive, self-driven mindset with a strong ability to prioritize and deliver in a fast-paced startup environment. *Nice-to-have:* - Familiarity with communication protocols (e.g. Ethernet, EtherCAT, CAN, CANOpen). - Knowledge of ARM SIMD/NEON architecture extensions. - Proficiency in additional programming languages (e.g. Python, Rust, Golang). - Expertise with multi-language build systems (e.g. Bazel, Bob). - Experience with Hypervisors (e.g. QNX Hypervisor, Jailhouse, Xen). - Understanding of container orchestration systems and tools (Eg. Kubernetes).