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 next-generation algorithms and systems that will redefine computational boundaries. Our interdisciplinary team collaborates across physics, computer science, and materials science to solve humanity's most complex challenges.
Located in the heart of San Francisco's innovation district, you'll work in our state-of-the-art quantum lab with access to cutting-edge hardware and collaborative spaces. We offer comprehensive benefits including equity, flexible work arrangements, and professional development stipends.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and cryptography applications
- Conduct experimental research on quantum hardware systems including superconducting qubits and photonic processors
- Develop error correction protocols to enhance quantum coherence and computational fidelity
- Collaborate with cross-functional teams to translate theoretical models into practical implementations
- Publish research findings in peer-reviewed journals and present at international conferences
- Secure external funding through grants and partnerships with quantum industry leaders
- Mentor junior researchers and contribute to our quantum education initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years postdoctoral experience
- Proven expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Deep understanding of quantum error correction and fault-tolerant computing architectures
- Strong background in quantum mechanics and linear algebra at graduate level
- Demonstrated ability to publish high-impact research in quantum computing
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
- Excellent written and verbal communication skills for technical and non-technical audiences