Job Description
Join Nexus Quantum Labs at the forefront of computational revolution! We're pioneering quantum-AI hybrid systems that will redefine industries by 2026. Our multidisciplinary team of visionaries is building the next generation of autonomous quantum processors, and we need your expertise to accelerate this paradigm shift.
This role offers unparalleled opportunity to shape the future of quantum machine learning, collaborate with Nobel laureates, and develop patent-pending algorithms that solve previously intractable problems. You'll work in our state-of-the-art facility with access to 128-qubit quantum processors and bleeding-edge AI supercomputing infrastructure.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world optimization problems
- Lead cross-functional teams in developing quantum-AI hybrid architectures
- Publish breakthrough research in top-tier quantum computing journals
- Develop quantum error correction protocols for fault-tolerant systems
- Collaborate with hardware teams to co-design quantum processors
- Secure $5M+ in research grants from DARPA and NSF
- Mentor PhD researchers and patent quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum circuit design and simulation
- Expertise in Python/C++ with quantum frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Deep understanding of quantum decoherence and error correction
- Strong background in linear algebra and probability theory
- Experience securing government research funding
- Proven track record of leading technical teams