Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and hardware architectures that will redefine computational paradigms. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve previously unsolvable challenges in cryptography, materials science, and AI optimization. Our state-of-the-art Austin facility offers unparalleled resources including cryogenic quantum processors and advanced simulation environments.
We offer competitive compensation, flexible work arrangements, and comprehensive benefits including stock options and research stipends. Help us build the quantum future – apply today to shape tomorrow's technology landscape.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols for fault-tolerant quantum systems
- Lead experimental research on superconducting qubit architectures
- Collaborate with hardware teams to translate theoretical models into practical implementations
- Publish high-impact research in peer-reviewed journals and present at international conferences
- Secure external funding through NSF and DoE grant applications
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Physics, Computer Science, or related quantum field with 3+ years postdoctoral experience
- Proven expertise in quantum algorithm development (Shor's, Grover's, VQE)
- Publication record in Nature/Science or equivalent quantum computing journals
- Hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Strong background in quantum error correction and fault tolerance
- Familiarity with cryogenic quantum systems and microwave control electronics
- Demonstrated ability to secure federal research grants
- Excellent written and verbal communication skills for technical audiences