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Information Technology 🏢 Full Time ⭐️ Verified

AI Architect - 2026 Future Mobility Initiative

NexaDrive Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to architect the future of transportation?

NexaDrive Technologies is on a mission to revolutionize urban mobility by 2026. We are seeking a visionary AI Architect to lead our cutting-edge research and development division. In this role, you will define the technical blueprint for our autonomous fleet, ensuring our AI models are not just functional, but revolutionary.

We are looking for a strategic thinker who can bridge the gap between theoretical AI research and scalable, real-world engineering. Join us in building the infrastructure that will power the smart cities of tomorrow.

Responsibilities

  • Lead the architectural design of advanced AI and machine learning systems for our 2026 autonomous mobility roadmap.
  • Define and implement scalable data pipelines and model training frameworks to support real-time decision-making.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business goals into technical specifications.
  • Stay at the forefront of industry trends, evaluating and integrating emerging technologies (e.g., generative AI, reinforcement learning) into our core architecture.
  • Ensure system robustness, security, and compliance with federal and state regulations for autonomous vehicles.
  • Drive the technical strategy for the 2026 product release, including performance benchmarks and latency optimization.

Qualifications

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Robotics, or a related field; Master’s degree or PhD preferred.
  • Minimum of 7 years of experience in AI/ML architecture, with a focus on autonomous systems or robotics.
  • Deep expertise in Python, C++, and cloud-based infrastructure (AWS/GCP/Azure).
  • Proven experience deploying and optimizing deep learning models (TensorFlow, PyTorch) in production environments.
  • Strong understanding of computer vision, sensor fusion, and path planning algorithms.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.
  • Clear communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ TensorFlow PyTorch Machine Learning Autonomous Systems AI Architecture Cloud Computing AWS Data Engineering System Design

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