Job Description
Join Nexus Innovations Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and hardware architectures that will redefine computational capabilities. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where your breakthroughs will directly shape the future of AI, cryptography, and materials science.
Our interdisciplinary team combines quantum physics, machine learning, and advanced engineering to solve humanity's most complex challenges. You'll lead experimental initiatives, publish groundbreaking research, and contribute to patents that will define the next technological revolution. This is more than a role—it's your chance to architect the future.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental quantum hardware testing and error correction protocols
- Collaborate with AI teams to develop hybrid quantum-classical machine learning frameworks
- Publish peer-reviewed research and present findings at top-tier conferences
- Secure and manage research partnerships with national laboratories and academic institutions
- Contribute to patent development for quantum-resistant encryption methods
- Mentor junior researchers in quantum theory and experimental methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Published record in quantum computing or condensed matter physics
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in high-performance computing and parallel processing
- Demonstrated ability to secure research funding (NSF, DOE, or equivalent)
- Experience with cryogenic quantum systems and superconducting qubits
- Excellent communication skills for technical and non-technical audiences