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Future Tech Lead (2026 Vision) | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Nexus Horizon is pioneering the technologies that will define the year 2026. We are seeking a visionary Future Tech Lead to spearhead our next-generation initiatives in Generative AI, Quantum Computing interfaces, and Autonomous Systems. This is a rare opportunity to architect the infrastructure of tomorrow while solving today's most complex engineering challenges.

As a key member of our elite engineering team, you will bridge the gap between theoretical AI research and scalable production systems. You will define the roadmap for our 2026 product suite, ensuring we remain at the bleeding edge of technological innovation.

Why Join Us?

  • Work on mission-critical projects that impact millions globally.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with hubs in SF and NYC.

Responsibilities

  • Lead the architectural design and implementation of scalable AI systems for the 2026 product roadmap.
  • Collaborate with cross-functional teams (Product, Design, Research) to translate futuristic concepts into viable technical solutions.
  • Define best practices for ethical AI, bias mitigation, and data privacy in emerging technologies.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Evaluate and integrate cutting-edge technologies (e.g., LLMs, Edge AI, Neuromorphic Computing) into existing frameworks.
  • Drive technical decision-making processes to optimize system performance and reliability.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of professional experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proven experience leading high-performance engineering teams and managing complex technical projects.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture AI Strategy TensorFlow Docker Kubernetes AWS Leadership

Ready to Take This Challenge?

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