System Architect - Autonomous Vehicle

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.

Job Summary:

We are seeking an experienced and skilled System Architect to join our cutting-edge autonomous robotics team. In this role, you will lead the design, integration, and optimization of robotic systems, focusing on autonomous vehicles and ground robots. You will collaborate with cross-functional teams to ensure 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 alignment with system requirements and performance goals.
• Systems Engineering Processes Maturity: Tailor, modify, and establish systems lifecycle processes based on standards (e.g., ISO 15288, ASPICE).
• Solution Design & Integration: Collaborate 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, manage, and maintain system requirements, ensuring they are clear, traceable, and verifiable from definition through validation.
• Model-Based Systems Engineering (MBSE): Use modeling techniques to design and integrate systems, ensuring clear representation of system components.
• Risk Management & Safety Compliance: Implement risk mitigation strategies and ensure 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 performance indicators.
• Cross-Functional Collaboration: Work closely with multidisciplinary teams (hardware, software, AI, and product) to ensure seamless integration and alignment of systems.
• Documentation & Reporting: Maintain comprehensive technical documentation, including system diagrams, design specifications, and progress reports for stakeholders.
• Mentorship & Leadership: Lead architectural reviews, mentor junior engineers, and align team efforts with project milestones.

Required Skills and Qualifications:

• Education: Bachelor’s or Master’s degree in Systems Engineering, Robotics, Mechatronics, Electrical Engineering, Computer Science, or a related field.
• Experience: 5-8+ years in system architecture or systems engineering, with experience in autonomous vehicle systems, automotive, or ground robotics.
• Technical Expertise: Strong understanding of systems engineering principles (V-model, SysML, MBSE), sensor fusion, and autonomous vehicle technologies.
• System Engineering Standards: Familiarity with ISO15288, SPICE/ASPICE, and other system engineering standards such as 42010.
• Software & Tools: Proficiency in tools like MATLAB, Simulink, ROS, and architecture modeling tools (e.g., Enterprise Architect, MagicDraw).
• Communication Skills: Excellent verbal and written communication skills, capable of presenting complex technical concepts to both technical and non-technical audiences.
• Problem-Solving Skills: Strong analytical and problem-solving skills, especially in integrating complex systems and addressing design challenges.

Preferred Skills:

• 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, ISO 21434).
• 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.

Soft Skills:

• Leadership: Strong leadership abilities to mentor and guide cross-functional teams.
• Collaboration: Excellent interpersonal skills to work effectively in fast-paced, startup environments.
• Adaptability: Ability to proactively tackle challenges with an adaptable approach.

If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!