Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and applications that will redefine computational capabilities. In this role, you'll collaborate with world-class physicists, engineers, and AI specialists to solve previously impossible challenges in cryptography, materials science, and complex system modeling.
NexusLabs offers a dynamic environment where your work will directly impact the future of technology. You'll have access to state-of-the-art quantum hardware and resources to push the boundaries of what's computationally feasible. We value innovative thinking, rigorous methodology, and a passion for transforming theoretical possibilities into practical realities.
This position includes competitive equity, comprehensive benefits, and opportunities for continuous learning and professional development. Help us shape the next era of human technological advancement.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Conduct cutting-edge research in quantum error correction and fault-tolerant computing
- Develop hybrid quantum-classical machine learning frameworks for 2026-era applications
- Collaborate with hardware teams to optimize quantum circuit implementations
- Lead research initiatives in quantum cryptography and secure communication protocols
- Publish findings in top-tier journals and present at international conferences
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing specialization
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Deep understanding of quantum mechanics principles and quantum information theory
- Proven track record of publishing in quantum computing or adjacent fields
- Expertise in at least one classical high-performance computing framework
- Strong background in linear algebra, probability, and statistical analysis
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)