Hiring: Senior Safety Software Engineer Company: Agility Robotics Location: Salem, OR Job Posted Time: 2026-09-03 10:43:38 Employment Type: Full-time / Remote Target Skills & Keywords : C, C++, CI/CD, Data Pipeline, Deep Learning, Embedded Systems, Linux, Machine Learning, RTOS, Rust About the job Experience: •5+ years of professional software engineering experience, with a focus on systems level or embedded systems programming (C++, C, or Rust). Required Skills: •Design & Develop: Design and implement robust, highly reliable software for safety-critical systems using both traditional functional safety techniques and emerging deep learning safety techniques. •Cross-Functional Collaboration: Partner with our machine learning, hardware, and core software teams to ensure that data pipelines, models, and middleware operate within defined safety envelopes. •System Architecture: Develop and optimize software running on both Linux and real-time operating systems. •Testing & Validation: Create rigorous testing frameworks and validation strategies to prove system reliability and safety under edge-case scenarios. •Mentorship: Guide and mentor junior engineers on safety-critical coding standards and best practices. Qualifications: •Bachelor's or Master's degree in Computer Science, Computer/Electrical Engineering, Robotics, or a related field. •In-depth knowledge of software architecture for embedded •Excellent problem-solving skills and a strong internal drive for quality and reliability. •We know that great candidates come from diverse backgrounds. Even if you don't check every box below, we highly encourage you to apply. •Board Bringup: Experience working with alpha hardware, performing basic tasks to run an operating system and establishing a working environment for future development •Perception Systems: Experience working with camera and LiDAR sensors, interpreting the output and Certified Code: A proven track record of writing formally certified safety-critical code. •Functional Safety Standards: Deep familiarity with and practical application of standards such as ISO 26262 (automotive), IEC 61508 (industrial), or ISO 13849 (machinery). •ROS 2: Experience architecting and building complex robotic applications using ROS 2. •Machine Learning: Hands-on experience with machine learning pipelines, including data collection, dataset curation, and model training. •Linux Kernel: Experience with Linux kernel configuration, module development, or customization for performance and reliability. Compensation: •$175,000 - $274,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!