System Architect for Autonomous Robotics

steerai United Arab Emirates
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AI Summary

We are seeking a highly skilled System Architect to lead the design, integration, and optimization of robotic systems for autonomous vehicles and ground robots. The ideal candidate will collaborate with cross-functional teams to ensure scalable, reliable, and high-performance robotic solutions. Key requirements include experience in system architecture, autonomous vehicle systems, and ground robotics.

Key Highlights
Lead system architecture design for autonomous robotic systems
Collaborate with cross-functional teams
Ensure scalable, reliable, and high-performance robotic solutions
Key Responsibilities
Lead the development of scalable and robust architectures for autonomous robotic systems
Work with hardware, software, and AI teams to integrate sensors, computing platforms, communication modules, and control systems into cohesive robotic solutions
Define and maintain system requirements, ensuring they are clear, traceable, and verifiable
Technical Skills Required
Systems Engineering Robotics Mechatronics Electrical Engineering Computer Science MATLAB Simulink ROS Enterprise Architect MagicDraw SysML MBSE Sensor Fusion Autonomous Vehicle Technologies
Benefits & Perks
Competitive, tax-free salary
Comprehensive benefits package
Education allowance
Free on-site meals
Annual flight allowance
Health coverage
Relocation support
Nice to Have
Autonomous Systems
Safety Standards
Emerging Technologies
Simulation & Testing
Agile Development

Job Description


About SteerAI

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.


Role Overview


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.
  • 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


We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment.

Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.


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