Job Description
Shape the future of technology by 2026 at Nexus Labs! We're pioneering quantum AI solutions that will redefine industries. Join our elite research team to develop next-generation algorithms, optimize quantum computing architectures, and accelerate machine learning breakthroughs. This is your opportunity to work at the intersection of quantum physics and artificial intelligence in a state-of-the-art facility with unlimited resources.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Optimize quantum algorithms for NISQ-era hardware limitations
- Lead cross-functional projects with hardware and software teams
- Publish groundbreaking research in top-tier journals/conferences
- Collaborate with MIT and Stanford on quantum-AI integration
- Develop patentable quantum neural network architectures
- Mentor junior researchers in quantum computing fundamentals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience in quantum machine learning research
- Expertise in Python, TensorFlow, and quantum frameworks (Qiskit, Cirq)
- Published work in Nature/Science or equivalent top-tier journals
- Strong background in linear algebra, quantum mechanics, and ML theory
- Experience with quantum hardware (IBM Quantum, Rigetti, etc.)
- Proven ability to secure research funding (NSF, DARPA, etc.)