Senior System Engineer at Steer AI

SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council.

SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: Their workforce.

About the role:

We are seeking a highly skilled and experienced System Architect to join our cutting-edge autonomous robotics team. The ideal candidate will lead the design, integration, and optimization of robotic systems, particularly for autonomous vehicles and ground robots. You will collaborate with cross-functional teams, ensuring scalable, reliable, and high-performance robotic solutions that meet technical, safety, and regulatory standards.

Key Responsibilities:

• System Architecture Design: Lead the development of scalable and robust architectures for autonomous robotic systems, ensuring they meet performance goals and align with system requirements.
• Solution Design & Integration: Work with hardware, software, and AI teams to integrate sensors, computing platforms, communication modules, and control systems into cohesive robotic solutions.
• System Requirements Specification (SRS): Define and maintain system requirements, ensuring they are clear, traceable, and verifiable. Manage requirements lifecycle from definition to validation.
• Model-Based Systems Engineering (MBSE): Utilize SysML to model and design systems, ensuring effective integration and clear representation of system components.
• Risk Management & Safety Compliance: Identify and mitigate risks in the system design, ensuring compliance with functional safety standards (e.g., ISO 26262) and regulatory requirements for autonomous systems.
• Prototyping & Validation: Guide prototype development, testing, and validation of systems against defined requirements and performance indicators.
• Cross-Functional Collaboration: Collaborate with multidisciplinary teams (hardware, software, AI, and product) to ensure seamless integration and alignment.

Qualifications:

• Education: Bachelor’s or Master’s degree in Systems Engineering, Robotics, Mechatronics, Electrical Engineering, Computer Science, or related field.
• Experience: 5-8+ years in system architecture or systems engineering, with experience in autonomous vehicle systems or ground robotics.
• Technical Expertise: Strong understanding of systems engineering principles, including the V-model, SysML, MBSE, sensor fusion, and autonomous vehicle technologies.
• Software & Tools: Proficiency in tools such as MATLAB, Simulink, ROS, and architecture modeling tools (e.g., Enterprise Architect, MagicDraw).
• Communication Skills: Strong verbal and written communication skills, able to present complex technical concepts to both technical and non-technical audiences.
• Problem-Solving Skills: Excellent analytical and problem-solving abilities, particularly in integrating complex systems and addressing design challenges.
• Autonomous Systems: Experience with autonomous vehicles, unmanned ground vehicles (UGVs), or field robotics.
• Safety Standards: Familiarity with functional safety standards (e.g., ISO 26262, ISO 21448).
• Emerging Technologies: Knowledge of AI, machine learning, edge computing, and cloud computing in autonomous systems.
• Simulation & Testing: Experience with simulation tools (e.g., MATLAB, Simulink) and real-world testing of robotic systems.
• Agile Development: Familiarity with Agile development methodologies.