Job Description
Join Nexus Quantum Dynamics at the forefront of computational evolution as we pioneer 2026's quantum-AI convergence. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms that solve humanity's most complex challenges. Our Austin lab operates at the intersection of theoretical physics and machine learning, offering unparalleled resources and collaborative freedom.
You'll architect breakthrough systems in quantum machine learning while mentoring a multidisciplinary team of physicists and engineers. This role includes competitive equity, unlimited R&D budget, and the opportunity to publish in Nature's Quantum special edition.
Responsibilities
- Design quantum neural networks for exponential speedup in climate modeling
- Develop hybrid quantum-classical frameworks for real-time optimization
- Lead cross-functional prototyping of quantum-resistant cryptography systems
- Secure $2M+ in NSF grants for quantum-AI applied research
- Present breakthroughs at Quantum Computing Summit 2026
- Mentor PhD researchers in quantum algorithm development
- Collaborate with MIT and ETH Zurich on quantum supremacy projects
Qualifications
- PhD in Quantum Computing, Physics, or Computational Science
- 3+ years implementing quantum algorithms on IBM/Google hardware
- Published research in quantum machine learning or quantum information
- Expertise in Qiskit, Cirq, and quantum error correction
- Proficiency in Python, TensorFlow Quantum, and C++
- Demonstrated success securing government research grants
- Experience mentoring quantum research teams