System Architect - Autonomous Vehicle

SteerAI; Abu Dhabi Emirate; On-site; AED 80,000 - 120,000; Full time

Job summary

An innovative company at the forefront of autonomous mobility is seeking a talented System Architect to join their dynamic robotics team. In this pivotal role, you will lead the design and integration of cutting-edge robotic systems, focusing on autonomous vehicles and ground robotics. Collaborating with multidisciplinary teams, you will ensure that solutions are scalable, reliable, and meet safety and regulatory standards. This is an exciting opportunity to shape the future of autonomous technology, working in a fast-paced startup environment where your contributions will have a significant impact. If you're passionate about robotics and eager to make a difference, we invite you to apply today!

Qualifications

• 5-8+ years in system architecture or systems engineering.
• Strong understanding of systems engineering principles.
• Experience in autonomous vehicle systems or ground robotics.

Responsibilities

• Lead the development of scalable architectures for robotic systems.
• Collaborate with teams to integrate sensors and control systems.
• Guide prototype development and validate systems against performance indicators.

Skills

Systems Engineering Principles

Sensor Fusion

Problem-Solving Skills

Communication Skills

Education

Bachelor’s or Master’s degree in Systems Engineering

Bachelor’s or Master’s degree in Robotics

Bachelor’s or Master’s degree in Electrical Engineering

Tools

MATLAB

Simulink

ROS

Enterprise Architect

MagicDraw

Job description

SteerAI Abu Dhabi Emirate, United Arab Emirates

Leading hiring from ground zero for new startups within VentureOne.

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!