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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Autonomous Systems Engineer (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are at the precipice of a technological revolution. As we look toward 2026, Nexus Future Tech is seeking a visionary Senior AI & Autonomous Systems Engineer to define the next generation of intelligent infrastructure. In this pivotal role, you will not just build software; you will architect the future, integrating advanced neural networks with real-time autonomous decision-making capabilities.

If you are passionate about pushing the boundaries of AI, Quantum integration, and the future of mobility, this is your opportunity to lead high-impact projects in the heart of Silicon Valley.

Responsibilities

  • Lead the architectural design and deployment of scalable machine learning models for autonomous navigation and decision-making systems.
  • Define the technical roadmap for 2026, integrating emerging quantum computing protocols into existing AI workflows.
  • Optimize deep learning algorithms for high-throughput, low-latency environments in real-time scenarios.
  • Collaborate with cross-functional teams to ensure AI safety, ethics, and compliance with global standards.
  • Mentor a team of junior engineers and data scientists in best practices for production-grade AI systems.
  • Conduct cutting-edge research to implement novel neural network architectures that outperform current benchmarks.

Qualifications

  • Master’s or PhD in Computer Science, Robotics, AI, or a related quantitative field.
  • 7+ years of professional experience building production-grade AI or autonomous systems.
  • Expert proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, and CUDA.
  • Strong background in system architecture, cloud infrastructure (AWS/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of leading complex technical projects from concept to deployment.
  • Experience with reinforcement learning and natural language processing (NLP) is a strong plus.

Required Skills

Python TensorFlow PyTorch Autonomous Systems Machine Learning Deep Learning CUDA System Architecture AWS Kubernetes

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