Systems Engineer, Autonomous Systems

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the requirements lifecycle by gathering, defining, and sustaining system- and subsystem-level requirements across hardware, software, and machine learning components.

• Create and oversee requirements traceability matrices that link operational concepts to component specifications and test cases.

• Design, document, and implement verification and validation plans for both simulated and physical field-testing environments.

• Develop, script, and manage simulation tools and validation frameworks to evaluate vehicle performance, edge-case behaviors, and safety limits.

• Participate in and facilitate Failure Modes and Effects Analysis (FMEAs), Fault Tree Analyses (FTAs), and Hazard Analysis and Risk Assessments (HARAs) for system safety and risk reduction.

• Bridge complex concepts among machine learning researchers, embedded software engineers, hardware designers, and safety managers.

• Create and maintain systems for autonomous construction machinery operating in intricate environments.

⛳️ Requirements

• Bachelor’s or Master’s Degree in Systems Engineering, Robotics, Aerospace, Computer Science, Mechanical/Electrical Engineering, or a related discipline.

• 5+ years of post-academic experience in systems engineering for advanced, safety-critical cyber-physical systems such as autonomous vehicles, robotics, or aerospace.

• Demonstrated experience in designing, documenting, and executing comprehensive verification and validation programs for complex systems.

• Proficient programming or scripting skills in Python, C++, or MATLAB/Simulink for simulation and validation tools.

• Familiarity with structured systems engineering methodologies and requirements management tools including Jama, DOORS, and Jira.

• Preferred: direct experience with heavy machinery, agricultural equipment, or off-highway autonomous vehicles.

• Preferred: knowledge of ISO 26262, ISO 19014, ISO 21448/SOTIF, or IEC 61508.

• Preferred: experience in validating machine learning models, perception stacks, or autonomy behavior logic in safety-critical applications.

• Preferred: cross-functional requirements experience that spans software, hardware, vehicle systems, and Operational Design Domain (ODD).

• Preferred: familiarity with ROS/ROS2.

• Applicants must be eligible to work in the United States; visa sponsorship is available.

🏝️ Benefits

• Annual performance bonus.

• Competitive benefits package.

• Opportunities for career development.

• Learning and development programs.

• Mentorship opportunities.

• Reasonable accommodations for disabilities.

• An inclusive workplace that supports a thriving career and a meaningful, challenging mission.