Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. Our interdisciplinary team is developing breakthrough solutions in cryptography, materials science, and AI optimization. This role offers unparalleled opportunities to shape the next generation of computational paradigms in a collaborative, innovation-driven environment.
Responsibilities
- Design and implement quantum algorithms for practical industry applications
- Collaborate with hardware engineers to optimize quantum circuit performance
- Lead research initiatives in error correction and quantum decoherence mitigation
- Develop hybrid quantum-classical machine learning frameworks
- Publish findings in top-tier journals and present at international conferences
- Secure external funding through government and industry partnerships
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Strong background in linear algebra, probability, and information theory
- Publication record in quantum computing or adjacent fields
- Expertise in at least one classical ML framework (TensorFlow/PyTorch)
- Familiarity with cryogenic quantum systems and superconducting qubits
- Ability to translate complex quantum concepts for technical and non-technical stakeholders