Job Description
Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum-AI systems for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that merge quantum computing with artificial intelligence. This role offers unparalleled opportunities to shape humanity's technological future in our state-of-the-art San Francisco lab.
About Us: We're a NASA-backed deep-tech startup developing quantum-AI solutions for climate modeling, drug discovery, and autonomous systems. Our interdisciplinary team includes Nobel laureates and Turing Award recipients.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Collaborate with hardware engineers to optimize quantum circuit architectures
- Publish breakthrough research in top-tier journals/conferences
- Secure $5M+ in government/venture funding for quantum initiatives
- Mentor PhD candidates in quantum-AI research methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum error correction
- Proficiency with high-performance computing frameworks (CUDA, MPI)
- Strong background in AI/ML (PyTorch, TensorFlow)
- US citizenship or permanent residency required for clearances