Job Description
Shape the Future of Intelligence (2026 and Beyond)
Nebula Nexus Labs is pioneering the next evolution of computing. We are seeking a visionary Senior Quantum AI Architect to lead the integration of quantum computing power with deep learning models. If you are passionate about solving complex problems that classical computers cannot handle, and you want to be at the forefront of the 2026 technology landscape, this is your opportunity.
In this role, you will design and implement hybrid algorithms that leverage the unique properties of quantum hardware to accelerate AI training and inference. You will work in a collaborative, high-performance environment alongside world-class physicists, cryptographers, and software engineers.
Why Join Us?
- Impactful Work: Directly contribute to the infrastructure powering the future of AI.
- State-of-the-Art Environment: Access to the latest quantum processors and cloud-based quantum simulators.
- Competitive Compensation: Comprehensive benefits package including equity.
Responsibilities
- Design, develop, and optimize quantum algorithms for machine learning applications (e.g., VQE, QAOA, Quantum Neural Networks).
- Bridge the gap between classical AI frameworks (TensorFlow, PyTorch) and quantum hardware interfaces (Qiskit, Cirq, PennyLane).
- Conduct research to identify quantum advantages for specific industry problems in finance, logistics, and biotech.
- Collaborate with hardware engineers to improve noise resilience and error correction protocols for near-term quantum devices.
- Mentor junior researchers and engineers in quantum programming and AI best practices.
- Document architectural decisions and present technical roadmaps to stakeholders and investors.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
- 5+ years of experience in software development, specifically in Python, C++, or Rust.
- Proven experience with quantum computing frameworks (Qiskit, Cirq, or PyQuil).
- Strong background in classical machine learning, deep learning, and optimization techniques.
- Familiarity with quantum error mitigation and fault-tolerant computing concepts.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile startup environment.