Job Description
Shape the future by designing next-generation quantum-AI hybrid systems at Nexus Quantum Labs. We're seeking visionary architects to build the computational infrastructure that will power humanity's greatest breakthroughs by 2026. Join our elite team in Austin where theoretical physics meets practical innovation.
What You'll Accomplish: Lead the development of fault-tolerant quantum processors, design AI-driven quantum optimization algorithms, and pioneer new hardware-software interfaces that will revolutionize drug discovery, climate modeling, and materials science.
Why Nexus Quantum Labs? Our state-of-the-art facility houses the world's most advanced quantum simulators, with 24/7 access to cryogenic systems and petabit-fiber networks. We offer competitive equity packages, unlimited R&D budgets, and the freedom to publish groundbreaking research.
Responsibilities
- Architect scalable quantum-AI hybrid systems with <10ms latency requirements
- Design error-correction protocols for 10,000+ qubit processors
- Develop reinforcement learning frameworks for quantum circuit optimization
- Create real-time visualization tools for multi-dimensional quantum states
- Collaborate with Nobel laureates on quantum supremacy benchmarks
- Lead open-source contributions to Qiskit 3.0 and TensorFlow Quantum
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computational Mathematics
- 5+ years experience with quantum error correction algorithms
- Proficiency in QASM, Qiskit, and Cirq frameworks
- Published research in Nature/Science on quantum systems
- Expertise in tensor networks and quantum tomography
- Familiarity with cryogenic engineering and superconducting qubits
- Deep learning certification from DeepMind or OpenAI