Job Description
Join FutureTech Innovations at the forefront of quantum computing research and development. As a Quantum Computing Research Scientist, you'll design next-generation quantum algorithms, develop error-correction protocols, and solve complex computational problems that redefine technological boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to pioneer breakthroughs that will shape 2026's digital landscape. You'll collaborate with Nobel laureates and publish groundbreaking research while mentoring the next generation of quantum pioneers.
We offer competitive equity packages, flexible work arrangements, and exclusive access to our annual Quantum Future Summit. This role represents a unique opportunity to contribute to humanity's most transformative technological revolution while enjoying San Francisco's vibrant innovation ecosystem.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
- Develop quantum error correction protocols to achieve fault-tolerant computation by 2026
- Lead cross-functional research teams in prototyping quantum hardware-software interfaces
- Publish findings in top-tier journals (Nature, Science, Quantum) and present at industry conferences
- Collaborate with hardware teams to translate theoretical models into practical quantum processors
- Secure and manage research grants from NSF, DARPA, and private quantum initiatives
- Mentor PhD candidates and junior researchers in quantum information science
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral research
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit design
- Published record in quantum error correction or algorithm development (h-index >15)
- Deep understanding of quantum decoherence mitigation and topological quantum computing
- Experience with quantum simulation frameworks (Q#, IBM Quantum Experience, Rigetti Forest)
- Proven ability to secure government/private research funding ($500k+ track record)
- Strong background in quantum machine learning and quantum neural networks