Senior Safety Software Engineer

Agility Robotics•Remote, OR

2d•$175,000 - $274,000•Remote

About The Position

Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. Agility Robotics views safety not as a regulatory constraint, but as a fundamental commercial gateway that is absolutely required to move humanoid robots out of isolated work cells and into shared human environments. You can't build your robot and then make it safe - functional safety must be baked into the hardware, electrical systems, and software from day one. The Role 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.

Requirements

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.

Nice To Haves

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 and
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

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.

Benefits

401(k) Plan: Includes a 6% company match.
Equity: Company stock options.
Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
Benefit Start Date: Eligible for benefits on your first day of employment.
Well-Being Support: Employee Assistance Program (EAP).
Time Off: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown (for Exempt Employees); 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually (for Non-Exempt Employees).
On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
Parental Leave: Generous paid parental leave programs.
Work Environment: A culture that supports flexible work arrangements.
Growth Opportunities: Professional development and tuition reimbursement programs.
Relocation Assistance: Provided for eligible roles.
Annual Discretionary Bonus: Provided for eligible roles.