Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Lead to spearhead breakthrough projects in quantum algorithms, error correction, and hardware optimization. This role offers unparalleled opportunities to shape the next generation of computational technology while collaborating with Nobel laureates and industry pioneers.
Our state-of-the-art facility in San Francisco provides an environment where innovation thrives. You'll lead a multidisciplinary team of physicists, engineers, and computer scientists, working on projects with real-world impact from drug discovery to climate modeling. We offer competitive compensation, equity, and a comprehensive benefits package including flexible work arrangements and professional development stipends.
Responsibilities
- Lead quantum algorithm development for practical applications in cryptography, optimization, and machine learning
- Design and implement quantum error correction protocols for scalable quantum processors
- Collaborate with hardware teams to translate theoretical models into functional quantum systems
- Publish research in top-tier journals and present findings at international conferences
- Mentor junior researchers and foster a culture of scientific excellence
- Secure research funding through government grants and industry partnerships
- Develop quantum computing roadmaps aligned with 2026 technological milestones
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Proven track record of publishing in Nature/Science or equivalent high-impact journals
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience leading research teams and managing complex projects
- Familiarity with quantum hardware platforms (superconducting, trapped ions, photonic)
- Strong background in linear algebra, probability theory, and computational complexity