Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our interdisciplinary team collaborates with MIT and Stanford on projects including quantum-resistant cryptography and neural quantum interfaces. Enjoy unlimited R&D budget, flexible remote work, and equity in a unicorn-valued startup.
Responsibilities
- Design quantum machine learning models for 2026-era applications
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Publish breakthrough research in Nature/Science journals
- Collaborate with hardware engineers on quantum chip integration
- Develop ethical frameworks for autonomous quantum decision systems
- Secure $2M+ in DARPA/NASA grants for future tech initiatives
Qualifications
- PhD in Quantum Computing or Machine Learning (or equivalent experience)
- 3+ years implementing quantum algorithms on real hardware
- Published work in top-tier quantum/AI conferences
- Expertise in TensorFlow Quantum or Qiskit frameworks
- Strong background in cryptography or neuromorphic computing
- Proven ability to secure government research funding
- Experience with low-level quantum assembly languages