Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI integration for next-generation computing. We seek visionary researchers to develop breakthrough algorithms that will redefine machine learning capabilities. Our state-of-the-art facility in San Francisco offers unparalleled resources to collaborate with Nobel laureates and industry disruptors. This role includes competitive equity packages and flexible work arrangements designed for maximum innovation.
Responsibilities
- Design and implement quantum machine learning models for 2026-scale data processing
- Lead cross-functional teams in developing hybrid quantum-classical AI systems
- Publish groundbreaking research in top-tier journals and industry conferences
- Collaborate with hardware teams to optimize quantum algorithm performance
- Secure $2M+ in government/industry research grants annually
- Mentor PhD candidates in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (2020-2026 graduates preferred)
- 3+ years of experience with quantum circuit design and error correction
- Expertise in Python/C++ with quantum frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or related fields
- Proficiency with high-performance computing environments
- Strong track record of securing research funding