Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms, optimize qubit stability, and solve previously impossible computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research in a collaborative, future-focused environment.
This role bridges theoretical physics and practical application, requiring deep expertise in quantum mechanics and algorithm design. You'll work alongside Nobel laureates and industry disruptors to shape the technological landscape of the coming decade. We offer competitive compensation, flexible work arrangements, and a comprehensive benefits package including equity in our pre-IPO quantum startup.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error-correction techniques to enhance qubit coherence and scalability
- Collaborate with hardware teams to translate theoretical models into practical quantum circuits
- Lead cross-functional research initiatives in quantum machine learning applications
- Publish findings in leading scientific journals and present at international conferences
- Mentor junior researchers and contribute to patent development
- Stay current with emerging quantum technologies through continuous learning
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Strong publication record in quantum information science
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency in high-performance computing environments
- Demonstrated ability to translate complex theories into practical implementations
- Experience with quantum hardware integration (superconducting, ion trap, or photonic)
- Excellent communication skills for technical and non-technical audiences