Job Description
Join the forefront of technological innovation at Nexus Quantum Labs, where we're pioneering the next wave of quantum-AI convergence. We seek visionary Research Engineers to architect hybrid quantum neural networks that will redefine 2026's computing landscape. Our multidisciplinary team operates at the intersection of quantum mechanics, machine learning, and autonomous systems. You'll collaborate with Nobel laureates and industry disruptors in a cutting-edge laboratory environment, pushing the boundaries of what's computationally possible.
What We Offer:
- Equity in a Series B quantum unicorn
- Unlimited QPU access to our 500-qubit processor
- $50k annual R&D stipend
- 4-day work week with flexible scheduling
- On-site cryogenic lab and quantum visualization suite
Responsibilities
- Design and implement quantum machine learning algorithms for real-world optimization problems
- Develop error-corrected quantum neural network architectures
- Create hybrid quantum-classical frameworks for autonomous decision systems
- Lead quantum hardware-software co-design initiatives
- Author peer-reviewed research for Nature Quantum Computing
- Mentor junior researchers in quantum programming (Qiskit, Cirq)
- Collaborate with defense contractors on quantum-resistant cryptography
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, or Cirq)
- Published research in quantum machine learning or quantum algorithms
- Experience with fault-tolerant quantum error correction protocols
- Strong background in linear algebra, probability, and information theory
- Familiarity with quantum hardware architectures (superconducting, trapped ion)
- Portfolio demonstrating quantum AI implementation projects