Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer quantum computing breakthroughs that will redefine 2026's digital landscape. We're seeking visionary researchers to develop scalable quantum algorithms and hybrid systems that solve previously impossible problems in cryptography, materials science, and AI optimization. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for collaborative innovation, including access to quantum annealers and superconducting qubit platforms.
This role empowers you to shape humanity's technological future while working alongside Nobel laureates and Turing Award recipients. We offer competitive equity packages, flexible work arrangements, and dedicated R&D funding for your breakthrough projects.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Publish breakthrough research in top-tier journals and industry conferences
- Collaborate with hardware engineers to optimize quantum error correction protocols
- Translate theoretical models into practical solutions for commercial applications
- Secure external research grants and partnerships with leading academic institutions
- Mentor junior researchers and contribute to quantum computing education initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Published research in quantum algorithms or quantum information theory
- Proficiency in Python, C++, and high-performance computing frameworks
- Deep understanding of quantum mechanics principles and quantum error correction
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong track record of securing research funding or industry partnerships
- Excellent communication skills for technical and non-technical audiences