Embedded Engineer Jobs

About The Position

Requirements

• MS in Computer Engineering, Computer Science, or a related field.
• Production experience with Linux PREEMPT_RT or similar real-time operating systems such as QNX.
• Strong understanding of Linux device trees, scheduling, memory management, and multicore ARM SoCs.
• Experience with interprocess/intercore communication, message passing, and robotic middleware such as ROS 2, FastDDS, CycloneDDS, or Zenoh.
• Proficiency in C/C++ and familiarity with development toolchains, including compilers, linkers, debuggers, and static analysis tools.
• Familiarity with container technologies and runtimes such as Docker, containerd, and OverlayFS.
• Self-driven problem solver with strong prioritization skills and the ability to deliver in a fast-paced startup environment.

Nice To Haves

• Familiarity with communication protocols such as Ethernet, EtherCAT, CAN, and CANOpen.
• Knowledge of ARM SIMD/NEON architecture extensions.
• Proficiency in additional programming languages such as Python, Rust, or Golang.
• Expertise with multi-language build systems such as Bazel or Bob.
• Experience with hypervisors such as QNX Hypervisor, Jailhouse, or Xen.
• Understanding of container orchestration systems and tools such as Kubernetes.

Responsibilities

• Design, develop, and integrate POSIX-compliant systems for advanced robotics and machine-learning applications.
• Build frameworks that integrate controls, machine learning, and supporting algorithms with real-time tasks.
• Collaborate with Controls and ML engineers to develop and optimize high-performance autonomous systems.
• Develop and maintain drivers and interfaces for real-time robotic middleware.
• Develop tools to monitor, validate, and optimize system performance, ensuring reliable and deterministic behavior.
• Establish reproducible build and test environments to support efficient development and deployment.
• Develop robust solutions for over-the-air (OTA) updates, calibration management, and software deployment.
• Partner with cross-functional teams to solve complex technical challenges while supporting functional safety, compliance, and traceability.