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Lead AI Research Engineer - 2026 Tech Stack

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to architect the technological landscape for the year 2026? Aether Dynamics is seeking a visionary Lead AI Research Engineer to pioneer the next generation of Artificial General Intelligence (AGI) and space-based neural networks. In this high-impact role, you will spearhead our 'Project 2026' initiative, focusing on quantum-enhanced machine learning and autonomous decision systems.

As a key architect, you will define the technical roadmap for our proprietary AI stack, ensuring scalability and performance for next-generation computing paradigms. Join us in shaping the future of intelligent systems.

Responsibilities

  • Architect and optimize neural networks for the '2026' computing paradigm, ensuring sub-millisecond latency and high throughput.
  • Lead the integration of quantum algorithms into classical deep learning pipelines to solve complex optimization problems.
  • Define the technical roadmap for our proprietary 2026 AI stack, evaluating emerging technologies like neuromorphic computing.
  • Collaborate with aerospace engineers to develop AI for autonomous satellite operations and orbital mechanics.
  • Drive the adoption of our proprietary distributed computing framework across the research division.
  • Present research findings and architectural blueprints to executive leadership and global stakeholders.

Qualifications

  • Advanced degree in Computer Science, Physics, or Mathematics (PhD preferred) with a focus on AI/ML.
  • Extensive experience with Python, C++, and CUDA for high-performance computing.
  • Proven expertise in Reinforcement Learning, Graph Neural Networks, and Quantum Machine Learning.
  • Experience managing a team of 3+ data scientists and research engineers.
  • Strong publication record in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Familiarity with cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes).

Required Skills

Python CUDA Quantum Machine Learning Reinforcement Learning C++ Deep Learning Distributed Systems AWS Kubernetes

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