Job Description
The Future is Now, and We Need You to Build It.
Aether Dynamics Inc. is pioneering the convergence of Artificial Intelligence and Quantum Computing to solve humanity's most complex challenges. We are looking for a visionary Senior AI & Quantum Systems Engineer to join our elite R&D division in San Francisco. In this pivotal role, you won't just be writing code; you will be architecting the neural pathways of the next decade, specifically tailored for the technological landscape of 2026 and beyond.
If you are obsessed with pushing the boundaries of what is possible in machine learning, quantum algorithms, and scalable distributed systems, this is your calling.
Why Join Us?
- Work on groundbreaking technology that will define the 2026 era.
- Competitive compensation package with equity options.
- Flexible remote-first hybrid work model.
- Access to state-of-the-art quantum hardware and cloud infrastructure.
Your Mission:
As a key member of our Future Systems team, you will bridge the gap between classical deep learning architectures and emerging quantum processors, creating hybrid models that outperform traditional silicon-based AI.
Responsibilities
- Design and implement advanced quantum algorithms integrated with deep neural networks for real-time predictive analytics.
- Lead architectural decisions for scalable AI infrastructures capable of processing petabytes of multimodal data.
- Optimize quantum circuit compilation and error mitigation strategies to ensure 99.9% uptime for critical applications.
- Collaborate with cross-functional teams of physicists, data scientists, and security experts to define the roadmap for 2026 AI readiness.
- Mentor junior engineers and conduct technical workshops on quantum machine learning best practices.
- Conduct rigorous testing and validation of AI models in simulated environments before real-world deployment.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, or a related STEM field with a focus on Quantum Computing or Artificial Intelligence.
- Minimum of 5+ years of professional experience in developing high-performance machine learning systems.
- Proficiency in Python, TensorFlow, PyTorch, and quantum software development kits (Qiskit, Cirq, or similar).
- Strong understanding of quantum mechanics principles applied to computational algorithms.
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
- Demonstrated ability to lead complex technical projects from conception to deployment.