Job Description
Join Nexus Quantum Labs at the forefront of 2026 technology, pioneering the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that redefine computational boundaries. Collaborate with Nobel laureates in our Austin R&D hub, where breakthroughs in quantum machine learning transform industries from healthcare to materials science.
We offer:
- Cutting-edge quantum hardware access
- Unlimited research budget with patent ownership
- Equity in our pre-IPO quantum startup
- Hybrid work with global innovation retreats
Responsibilities
- Design and implement hybrid quantum-classical AI systems
- Develop error-corrected quantum algorithms for optimization problems
- Lead open-source quantum machine learning framework contributions
- Collaborate with physics teams to prototype quantum hardware interfaces
- Publish peer-reviewed research in top-tier journals
- Secure federal and corporate research grants
- Mentor PhD interns in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in machine learning (PyTorch/TensorFlow) and classical optimization
- Published research in quantum information theory or NISQ algorithms
- Proficiency in high-performance computing environments
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)