Job Description
Join Nexus Quantum Labs at the forefront of the 2026 technological revolution. We're pioneering quantum computing solutions that will redefine industries, and we need visionary researchers to help us unlock the next frontier of computational power. Our Austin-based team operates in a state-of-the-art facility where innovation thrives, and we offer unparalleled resources for groundbreaking research.
If you're passionate about shaping the future of technology and want to work alongside some of the brightest minds in quantum physics and computer science, this is your opportunity to make history. We provide competitive compensation, flexible work arrangements, and a culture that celebrates bold ideas.
Responsibilities
- Lead research in quantum algorithms and error correction techniques for 2026-era quantum processors
- Develop novel quantum software frameworks optimized for next-generation hardware
- Collaborate with cross-functional teams to translate theoretical breakthroughs into practical applications
- Publish high-impact research in leading scientific journals and present at international conferences
- Secure and manage research grants from government and private sector partners
- Mentor junior researchers and contribute to our growing quantum computing curriculum
- Stay current with emerging quantum technologies and industry standards
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum computing platforms (IBM Q, Rigetti, etc.)
- Strong background in linear algebra, quantum mechanics, and complex algorithm design
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical simulation tools
- Demonstrated ability to publish peer-reviewed research in quantum computing
- Experience with machine learning integration for quantum systems
- Excellent problem-solving skills and ability to work in fast-paced research environments
- Strong communication skills for technical and non-technical audiences