Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational capabilities. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, working on projects that will solve humanity's most complex challenges in cryptography, material science, and artificial intelligence.
Why Nexus Labs? Our Austin campus features a 256-qubit quantum processor and offers unparalleled resources for research innovation. We provide competitive compensation, flexible work arrangements, and opportunities to publish in top-tier journals. Join us as we shape the next technological revolution.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error correction protocols to enhance quantum gate fidelity
- Collaborate with hardware engineers to optimize quantum circuit architectures
- Lead cross-functional research teams on high-impact quantum computing projects
- Publish findings in peer-reviewed journals and present at international conferences
- Secure research funding through government grants and industry partnerships
- Mentor junior researchers and contribute to quantum computing curriculum development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Deep understanding of quantum mechanics principles and quantum information theory
- Proven track record of publishing in quantum computing research
- Expertise in at least one classical programming language (Python, C++, or Rust)
- Familiarity with quantum hardware architectures (superconducting, trapped ion, photonic)
- Experience with machine learning frameworks for quantum data analysis
- Strong problem-solving skills and ability to communicate complex concepts clearly