Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration for next-gen autonomous systems and climate modeling solutions. Our multidisciplinary team operates at the intersection of quantum computing, machine learning, and sustainable tech. If you're passionate about solving humanity's grandest challenges through cutting-edge innovation, this is your moment to shape the future.
Responsibilities
- Design and implement quantum machine learning algorithms for complex system optimization
- Lead cross-functional R&D projects in quantum-AI fusion for autonomous infrastructure
- Develop predictive models for climate resilience using quantum-enhanced neural networks
- Collaborate with hardware teams to co-design quantum-AI hybrid computing architectures
- Publish breakthrough research in top-tier journals and industry conferences
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming (Qiskit, Cirq) and TensorFlow/PyTorch
- Publication record in Nature/Science or equivalent peer-reviewed journals
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in high-performance computing and GPU acceleration
- Proven ability to secure federal research grants
- Experience mentoring postdoctoral researchers