Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We seek visionary Quantum Computing Engineers to architect next-gen quantum algorithms and systems that solve previously impossible computational challenges. In this role, you'll collaborate with Nobel Prize-winning physicists and elite software developers to translate quantum theory into scalable, real-world applications. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, including access to 500-qubit quantum processors and a dedicated AI-assisted simulation lab.
This position includes equity grants, comprehensive wellness benefits, and a dedicated professional development budget for cutting-edge certifications. Work with mentors who shaped quantum standards at NASA, Google Quantum AI, and IBM Research while contributing to projects that will secure America's technological leadership for decades.
Responsibilities
- Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
- Develop error-correction protocols to achieve fault-tolerant quantum computation
- Collaborate with physicists to calibrate and maintain quantum hardware systems
- Create hybrid quantum-classical software interfaces for enterprise integration
- Lead research initiatives in quantum machine learning and quantum neural networks
- Mentor junior engineers and publish breakthrough research in peer-reviewed journals
- Secure patents for novel quantum computing methodologies and architectures
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years of quantum algorithm development experience with proven publications
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Deep understanding of quantum error correction and fault-tolerance techniques
- Proficiency in Python, C++, and high-performance computing environments
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in complex mathematical modeling and statistical analysis
- Demonstrated ability to translate theoretical concepts into practical implementations