Job Description
Join Nexus Labs at the forefront of 2026's quantum revolution. We're pioneering next-gen quantum computing systems that will redefine industries from pharmaceuticals to cryptography. As a Research Scientist, you'll develop breakthrough algorithms and hardware solutions to solve previously impossible computational challenges. Our Austin campus features state-of-the-art labs and collaborative spaces where visionary minds converge to shape tomorrow's technological landscape.
This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and contribute to projects with global impact. We provide competitive benefits, flexible work arrangements, and continuous learning resources to fuel your professional growth in this rapidly evolving field.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error-correction protocols to enhance quantum system stability beyond 2026 requirements
- Lead cross-functional teams to integrate quantum solutions with classical computing architectures
- Collaborate with hardware engineers to optimize qubit coherence times and gate fidelities
- Publish peer-reviewed research and present findings at international conferences
- Secure external funding through grants and partnerships with government agencies
- Mentor junior researchers and contribute to the quantum computing curriculum
Qualifications
- PhD in Physics, Computer Science, or related quantum field with 5+ years research experience
- Expertise in quantum algorithms, error correction, or quantum hardware design
- Publication record in top-tier journals (Nature, Science, Quantum) or equivalent
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Demonstrated ability to secure research funding from NSF, DARPA, or similar institutions
- Experience with cryogenic systems or superconducting qubit technologies
- Strong background in linear algebra, statistical mechanics, and computational complexity