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Information Technology 🏒 Full Time ⭐️ Verified

2026 Autonomous Systems Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

We are seeking a visionary 2026 Autonomous Systems Architect to spearhead the engineering of next-generation autonomous mobility solutions. At Nexus Horizon, we are not merely predicting the future; we are engineering it.

In this pivotal role, you will lead the technical strategy for our 2026 product roadmap, focusing on AI-driven decision-making and safety-critical autonomous fleets. You will work at the intersection of deep learning, robotics, and systems engineering to build the infrastructure that defines the future of transportation.

Why Join Us?
We offer competitive compensation, equity, and the opportunity to work on projects that will shape the world for decades to come.

Responsibilities

  • Architect and design scalable software frameworks for autonomous vehicle perception, planning, and control systems.
  • Lead cross-functional teams to deliver the 2026 product roadmap on time, ensuring high performance and reliability.
  • Implement rigorous safety protocols and ensure compliance with evolving regulatory standards in the autonomous sector.
  • Optimize deep learning models for edge computing environments, ensuring real-time decision-making capabilities.
  • Conduct technical due diligence on emerging hardware accelerators and sensor fusion technologies.
  • Mentor senior engineers and foster a culture of innovation, technical excellence, and continuous learning.

Qualifications

  • Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field.
  • 10+ years of software engineering experience, with at least 5 years in autonomous systems, AI, or robotics.
  • Proficiency in C++, Python, and ROS (Robot Operating System).
  • Deep understanding of machine learning algorithms, specifically Deep Reinforcement Learning and Computer Vision.
  • Experience with cloud infrastructure (AWS/GCP) and containerization technologies (Docker/Kubernetes).
  • Strong track record of solving complex engineering problems in high-pressure, fast-paced environments.

Required Skills

Autonomous Vehicles Robotics Python C++ Machine Learning Deep Learning ROS System Architecture Cloud Computing Sensor Fusion

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