About the job
We are seeking a Senior Safety Software Engineer to play a critical role in implementing a functionally safe perception system. In this role, you will bridge the gap between cutting-edge technology and functional safety principles. You will work closely with cross-functional teams to design, develop, and validate safety-critical software architecture. If you are passionate about building robust systems that push the boundaries of modern robotics and automation while maintaining uncompromising safety, we want you on our team.
Responsibilities
Design and implement robust, highly reliable software for safety-critical systems using both traditional functional safety techniques and emerging deep learning safety techniques.
Partner with our machine learning, hardware, and core software teams to ensure that data pipelines, models, and middleware operate within defined safety envelopes.
Develop and optimize software running on both Linux and real-time operating systems.
Create rigorous testing frameworks and validation strategies to prove system reliability and safety under edge-case scenarios.
Guide and mentor junior engineers on safety-critical coding standards and best practices.
Qualifications
Minimum
Bachelor’s or Master’s degree in Computer Science, Computer/Electrical Engineering, Robotics, or a related field.
5+ years of professional software engineering experience, with a focus on systems level or embedded systems programming (C++, C, or Rust).
Strong understanding of software architecture for embedded
Excellent problem-solving skills and a strong internal drive for quality and reliability.
Preferred
Experience working with alpha hardware, performing basic tasks to run an operating system and establishing a working environment for future development
Experience working with camera and LiDAR sensors, interpreting the output
A proven track record of writing formally certified safety-critical code.
Deep familiarity with and practical application of standards such as ISO 26262 (automotive), IEC 61508 (industrial), or ISO 13849 (machinery).
Experience architecting and building complex robotic applications using ROS 2.
Hands-on experience with machine learning pipelines, including data collection, dataset curation, and model training.
Experience with Linux kernel configuration, module development, or customization for performance and reliability.
Experience developing and deploying software on QNX or similar real-time operating systems and integrating into a modern CI/CD system