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Future Tech Lead: AI & Autonomous Systems

Chronos Systems
San Francisco
Estimated Salary
USD 165.000 – USD 210.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Chronos Systems is looking for a visionary Future Tech Lead to spearhead our 2026 roadmap. We are building the next generation of autonomous systems and AI-driven solutions that will define the decade. If you thrive on solving complex problems at the intersection of machine learning and robotics, this is your chance to lead.

Why Join Us?

  • Work on cutting-edge projects that push the boundaries of AI.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with a premium office in San Francisco.

The Role

As our Future Tech Lead, you will be responsible for defining the technical strategy for our upcoming 2026 suite of products. You will bridge the gap between theoretical research and practical application, ensuring our AI models are robust, scalable, and ethically sound.

Responsibilities

  • Define and execute the technical vision for the 2026 product suite.
  • Design scalable machine learning pipelines and neural architectures.
  • Lead a high-performance team of AI engineers and data scientists.
  • Collaborate with cross-functional stakeholders to translate business needs into technical roadmaps.
  • Oversee the deployment of models to production environments using MLOps best practices.
  • Prioritize research initiatives in generative AI and edge computing.

Qualifications

  • 10+ years of experience in software engineering or data science.
  • Proven track record of leading AI initiatives from concept to production.
  • Deep expertise in Python, TensorFlow, PyTorch, and major cloud providers (AWS/GCP).
  • Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
  • M.S. or Ph.D. in Computer Science, AI, or a related field.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning MLOps Docker Kubernetes AI Architecture

Ready to Take This Challenge?

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

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