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Senior AI Architect: 2026 Autonomous Mobility Initiative

Velociti Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to shape the future of transportation? Velociti Dynamics is seeking a visionary Senior AI Architect to lead the development of our flagship 2026 Autonomous Mobility Initiative. In this pivotal role, you will design the neural architectures that will define the next generation of self-driving technology, ensuring safety, efficiency, and scalability.

As part of our elite R&D team, you won't just write code; you will architect the brain of the vehicle. We are looking for a self-starter who thrives in ambiguity and is passionate about pushing the boundaries of what is possible by 2026.

Why Join Us?

  • Impactful Work: Directly contribute to technology that will revolutionize urban mobility.
  • Top-Tier Compensation: Competitive salary and equity packages.
  • Future-Proof: Work on cutting-edge AI models designed for the 2026 market landscape.

Responsibilities

  • Architect and implement deep learning models for autonomous perception and decision-making systems.
  • Lead the technical roadmap for the 2026 software suite, ensuring alignment with industry safety standards.
  • Collaborate with cross-functional teams (hardware, safety, product) to integrate AI solutions into edge devices.
  • Mentor junior engineers and foster a culture of innovation within the AI lab.
  • Optimize model latency and memory usage for real-time processing in variable environments.
  • Conduct rigorous testing and validation of neural networks to ensure reliability.

Qualifications

  • PhD or Master’s degree in Computer Science, Robotics, or a related field.
  • 5+ years of experience in deep learning, specifically with PyTorch or TensorFlow.
  • Proven track record of deploying AI models in high-stakes production environments.
  • Strong understanding of reinforcement learning, computer vision, and sensor fusion.
  • Experience with hardware acceleration (NVIDIA GPUs) and embedded systems.
  • Excellent communication skills and the ability to articulate complex technical concepts.

Required Skills

Python PyTorch TensorFlow Machine Learning Computer Vision CUDA Reinforcement Learning Autonomous Systems System Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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