System Architect - Autonomous Vehicle, SteerAI

About SteerAI

Role Overview

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.
• **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.

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.
• Nice to Have:
• **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.

What We Offer