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Future Tech Lead: AI & Autonomous Systems (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Future Tech Lead to architect the next generation of autonomous systems. As we approach the technological milestones of 2026, we need a pioneer who can bridge the gap between theoretical AI and scalable, real-world infrastructure.

In this role, you will define the technical roadmap for our upcoming AI products, ensuring our solutions are robust, ethical, and future-proof. You will work closely with cross-functional teams to integrate cutting-edge machine learning models into production environments.

Why Join Us?

  • Work on projects that define the industry standard for 2026 and beyond.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with premium office amenities in the heart of San Francisco.

Responsibilities

  • Define and execute the technical vision for AI and autonomous system integration by 2026.
  • Architect scalable, high-performance machine learning pipelines and data infrastructure.
  • Lead a team of senior engineers and data scientists, providing mentorship and technical guidance.
  • Collaborate with product managers to translate business requirements into technical roadmaps.
  • Ensure system reliability, security, and compliance with industry standards.
  • Stay ahead of emerging trends in generative AI and edge computing.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
  • Experience leading large-scale technical projects and mentoring engineering teams.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
  • Relevant advanced degree (M.S. or Ph.D.) in Computer Science, Engineering, or a related field.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Kubernetes Docker System Design Agile Leadership

Ready to Take This Challenge?

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