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 Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley facility, leveraging our $50M quantum infrastructure to solve problems previously deemed impossible.
Our team operates at the intersection of physics, computer science, and artificial intelligence, creating systems that will power the next generation of AI, cryptography, and materials science. We offer unparalleled resources, competitive equity packages, and the opportunity to shape humanity's technological future.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop quantum error correction protocols to stabilize qubit systems at scale
- Lead cross-functional teams to integrate quantum processors with classical computing frameworks
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware teams to co-design next-generation quantum processors
- Secure and manage $1M+ in research grants from government and industry partners
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Physics, Computer Science, or related field with quantum specialization
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or similar)
- Deep understanding of quantum mechanics principles and quantum information theory
- Proven track record of peer-reviewed publications in quantum computing
- Expertise in at least one classical programming language (Python, C++, Rust)
- Experience with machine learning frameworks for quantum-classical hybrid systems
- Demonstrated ability to secure research funding through grant proposals
- Strong problem-solving skills for complex multi-variable optimization challenges