Senior Safety Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Safety Software Engineer based in United States.

This role offers the opportunity to build software that enables humanoid robots to operate safely alongside people in real-world environments.

You will help develop functionally safe perception and software systems for advanced robotic platforms.

The position bridges cutting-edge robotics, embedded software, machine learning, and rigorous functional safety practices.

You will collaborate closely with machine learning, hardware, and core software teams to ensure systems operate within defined safety boundaries.

Your work will span architecture, development, testing, validation, and reliability across Linux and real-time environments.

You will also contribute to engineering standards and mentor others in safety-critical development practices.

This is an ideal opportunity for an experienced software engineer passionate about robotics, reliability, and building technology where safety is fundamental.

Accountabilities

• Design and implement highly reliable software for safety-critical robotic systems using established functional safety techniques and emerging approaches for deep-learning-based safety.
• Develop and optimize software architectures running across Linux and real-time operating systems.
• Partner with machine learning, hardware, and core software teams to ensure data pipelines, models, middleware, and system components operate within defined safety envelopes.
• Build rigorous testing frameworks and validation strategies capable of demonstrating reliability and safety across edge cases and challenging operating conditions.
• Contribute to the architecture and implementation of functionally safe perception systems, including software that processes data from robotic sensors.
• Apply safety engineering principles throughout the software development lifecycle, from system design through testing and deployment.
• Investigate reliability and safety issues, identify root causes, and implement robust solutions that improve system resilience.
• Mentor junior engineers on safety-critical coding standards, engineering practices, and approaches to building dependable robotic software.
• Collaborate across engineering disciplines to help advance software safety practices and support the development of next-generation robotic systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related technical field.
• 5+ years of professional software engineering experience, particularly in systems-level or embedded software development.
• Strong programming skills in C++, C, Rust, or comparable systems programming languages.
• Strong understanding of software architecture for embedded and safety-critical systems.
• Demonstrated ability to develop high-quality, reliable, and well-tested software for complex technical environments.
• Experience with board bring-up, including working with early-stage hardware, running operating systems, and establishing development environments is highly desirable.
• Experience with perception systems, including camera or LiDAR sensors and interpretation of sensor outputs, is a strong advantage.
• Familiarity with formally certified safety-critical software and functional safety standards such as ISO 26262, IEC 61508, or ISO 13849 is highly valued.
• Experience with ROS 2, machine learning pipelines, Linux kernel development or customization, and QNX or other real-time operating systems is advantageous.
• Strong analytical and problem-solving abilities, with a high level of attention to quality, reliability, and safety.
• Excellent communication and collaboration skills, with the ability to work effectively across hardware, software, machine learning, and robotics teams.
• Current authorization to work in the United States is required.

Benefits

• Base salary range of $175,000–$274,000 USD, with final compensation determined by factors such as location, skills, experience, and market conditions.
• 401(k) plan with a 6% company match.
• Company stock options.
• 100% company-paid medical, dental, vision, and short- and long-term disability insurance for employees.
• Benefits eligibility beginning on the first day of employment.
• Employee Assistance Program for well-being support.
• Flexible, unlimited PTO and 12 company holidays, including a winter shutdown, for exempt employees.
• Vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, for non-exempt employees.
• Generous paid parental leave programs.
• Professional development and tuition reimbursement opportunities.
• Flexible work arrangements with a fully remote setup and hybrid options for candidates within commuting distance of select offices.
• Catered lunches and healthy snacks at eligible office locations.
• Relocation assistance for eligible roles.
• Annual discretionary bonus for eligible roles.
• Supportive environment focused on professional growth and innovation in robotics and automation.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.