Job Description
Shape the future of technology as a Quantum Computing Software Engineer at Nexus Quantum Technologies. We're pioneering the next frontier of computational innovation, and we need visionary minds to build the quantum algorithms that will revolutionize industries by 2026. Join our elite team in San Francisco where you'll develop cutting-edge quantum software solutions, collaborate with Nobel laureates, and contribute to breakthroughs in cryptography, AI, and materials science.
Why Nexus Quantum? We offer unparalleled access to state-of-the-art quantum hardware, flexible hybrid work arrangements, and a culture that celebrates intellectual curiosity. Your work will directly impact the quantum revolution that's accelerating toward 2026, with competitive compensation and equity in a company valued at $2B.
Responsibilities
- Design and implement quantum algorithms for real-world applications in finance, healthcare, and logistics
- Develop error-correction protocols to stabilize qubits for commercial-scale quantum systems
- Create hybrid quantum-classical software frameworks leveraging cloud platforms like AWS Braket
- Collaborate with physicists to translate quantum hardware capabilities into practical software solutions
- Optimize quantum code for performance on next-generation quantum processors
- Lead open-source quantum software initiatives and publish research in top-tier journals
- Mentor junior engineers in quantum programming best practices
Qualifications
- PhD in Computer Science, Physics, or related field with 3+ years quantum computing experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Expertise in Python, C++, and high-performance computing architectures
- Deep understanding of quantum mechanics principles and quantum information theory
- Experience with quantum machine learning algorithms and variational quantum circuits
- Publication record in quantum computing or quantum information science
- Ability to work with cross-functional teams across physics, engineering, and AI domains