Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary researchers to develop groundbreaking algorithms that will redefine computational capabilities by 2026. Our cross-disciplinary team operates at the intersection of quantum computing, machine learning, and nanotechnology, solving humanity's most complex challenges.
This role offers unparalleled resources, including access to our 128-qubit quantum annealer and partnership with leading academic institutions. You'll collaborate with Nobel laureates and contribute to projects with real-world impact in climate modeling, drug discovery, and autonomous systems.
Responsibilities
- Design and implement novel quantum machine learning algorithms for next-gen AI systems
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Develop hybrid quantum-classical frameworks for complex optimization problems
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and foster collaborative innovation
- Secure external funding through NSF and DARPA grants
- Partner with hardware teams to translate theoretical models into practical applications
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum computing experience with frameworks like Qiskit or Cirq
- Expertise in deep learning architectures and probabilistic programming
- Published record in quantum information theory or AI research
- Strong background in linear algebra, complex analysis, and statistical mechanics
- Experience with high-performance computing environments (HPC)
- Proven ability to secure competitive research funding
- Passion for ethical AI development and responsible innovation