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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead - AI & Quantum Computing

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

At Nexus Horizon, we aren't just building for today; we are architecting the future of intelligence for 2026 and beyond. We are seeking a visionary Future Tech Lead to spearhead our R&D initiatives in Generative AI and Quantum Integration. If you are driven by solving humanity's most complex problems through code, this is your stage.

We are looking for an industry pioneer who can navigate the intersection of neural networks and next-gen hardware to deliver scalable, revolutionary solutions.

Responsibilities

  • Lead Strategic R&D: Architect and oversee the development of next-generation AI architectures designed specifically for the 2026 technological landscape.
  • Model Optimization: Push the boundaries of Large Language Models (LLMs) and reinforcement learning to achieve unprecedented efficiency and accuracy.
  • Tech Stack Leadership: Mentor a world-class engineering team in Python, PyTorch, and emerging hardware interfaces.
  • Innovation Management: Identify and prototype bleeding-edge technologies that redefine user experience and system performance.
  • Cross-Functional Collaboration: Work closely with product and design teams to translate futuristic concepts into scalable, market-ready products.

Qualifications

  • Experience: 8+ years of software engineering with a focus on AI/ML, including 3+ years in a technical leadership role.
  • Technical Mastery: Deep proficiency in Python, TensorFlow, or PyTorch, and experience with distributed computing systems and cloud infrastructure.
  • Education: MS or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Visionary Thinking: Proven track record of successfully launching disruptive tech products and leading high-impact engineering teams.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and investors.

Required Skills

Python Machine Learning Neural Networks System Architecture AI Cloud Computing Leadership R&D

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