Systems Engineer, Autonomous Systems
New
J
JobgetherAutonomous Systems
Fully remote position within the United States.Full-TimeSenior
Salary$131,000–$228,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonMatlabC++Jira
Requirements
- Bachelor's or Master's degree in Systems Engineering, Robotics, Aerospace, Computer Science, Mechanical Engineering, Electrical Engineering, or a related technical discipline.
- 5+ years of post-academic systems engineering experience involving sophisticated, safety-critical cyber-physical systems such as autonomous vehicles, robotics, or aerospace systems.
- Proven experience designing, documenting, and executing verification and validation programs for complex systems.
- Strong programming or scripting capabilities in Python, C++, MATLAB/Simulink, or comparable technologies for developing simulation and validation tools.
- Experience with structured systems engineering methodologies and requirements management platforms such as Jama, DOORS, or Jira.
- Strong understanding of systems thinking and the ability to translate requirements and technical concepts across multiple engineering disciplines.
- Experience working with hardware, software, machine learning, and vehicle-level systems in a collaborative engineering environment.
- Familiarity with functional safety standards such as ISO 26262, ISO 19014, ISO 21448/SOTIF, or IEC 61508 is highly valued.
- Experience validating machine learning models, perception systems, or autonomy behavior in safety-critical applications is a plus.
- Direct experience with heavy machinery, agricultural equipment, off-highway autonomous vehicles, or construction technology is preferred.
- Familiarity with robotics middleware and frameworks such as ROS or ROS2 is advantageous.
- Strong communication, collaboration, analytical, and problem-solving skills, with the ability to work effectively across engineering disciplines.
Responsibilities
- Own the complete requirements lifecycle, from eliciting and defining system and subsystem requirements to maintaining them across hardware, software, and machine learning components.
- Establish and maintain rigorous requirements traceability, connecting high-level operational concepts to component specifications, verification methods, and test cases.
- Develop, document, and execute comprehensive verification and validation strategies covering both simulated environments and physical field testing.
- Build, script, and maintain simulation and validation tools used to evaluate vehicle performance, edge-case behaviors, system limitations, and safety boundaries.
- Facilitate and contribute to FMEAs, Fault Tree Analyses, Hazard Analyses, and Risk Assessments to identify hazards and drive effective mitigation strategies.
- Serve as a technical bridge across machine learning, embedded software, hardware, vehicle systems, and functional safety teams.
- Support the full autonomous-system development lifecycle, from early-stage development and testing through field deployment and operational validation.
- Collaborate with engineering teams to ensure system requirements and validation strategies reflect real-world operating conditions and the intended Operational Design Domain.
- Help establish robust engineering practices that enable autonomous machinery to operate safely and reliably in complex, dynamic construction environments.
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