Job Description
Shape the technological frontier as Quantum AI Research Scientist at Nexus Future Labs. We're pioneering the intersection of quantum computing and artificial intelligence to solve 2026's most complex challenges. Join our elite team of innovators in Austin's thriving tech ecosystem, where you'll develop next-gen algorithms that redefine computational boundaries. This role offers unparalleled resources, mentorship from Nobel laureates, and the opportunity to publish groundbreaking research in Nature and Science.
Responsibilities
- Design and implement quantum machine learning algorithms for cryptography optimization and drug discovery
- Lead cross-functional R&D projects integrating quantum processors with classical AI frameworks
- Develop error-correction protocols for quantum neural networks operating at 10+ qubit coherence
- Collaborate with hardware teams to optimize quantum algorithms for next-gen superconducting processors
- Author peer-reviewed publications and patent applications for quantum-AI hybrid systems
- Mentor PhD candidates in quantum computing methodologies and ethical AI deployment
- Present breakthrough findings at premier conferences like Q2B and NeurIPS
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (exceptional MS candidates with 5+ years experience considered)
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants) and tensor network simulations
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane) and GPU-accelerated ML (PyTorch, TensorFlow)
- Published research in top-tier journals/conferences (Nature, Science, ICML, QIP)
- Experience with quantum hardware integration (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to translate theoretical models into practical implementations
- Strong background in high-performance computing and parallel processing architectures
- Commitment to ethical AI development and quantum security standards