Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where cutting-edge innovation meets practical application. You'll shape the future of artificial intelligence, cryptography, and complex system modeling while enjoying unparalleled resources and a culture that celebrates bold thinking.
This position offers competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals. Your work will directly impact industries ranging from pharmaceuticals to space exploration, positioning you as a key architect of tomorrow's technological landscape.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Lead cross-functional research initiatives in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to bridge theoretical models with practical quantum processors
- Publish high-impact research in peer-reviewed journals and present at international conferences
- Develop patentable solutions for commercial quantum computing challenges
- Mentor junior researchers and contribute to quantum computing curriculum development
- Secure and manage research grants from government and private sector partners
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum algorithms or quantum information theory
- Expertise in linear algebra, complex analysis, and quantum mechanics principles
- Proficiency with high-performance computing environments and parallel programming
- Strong track record of translating theoretical concepts into practical implementations
- Demonstrated ability to secure research funding and manage complex projects
- Experience with machine learning frameworks (TensorFlow, PyTorch) preferred