Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and protocols that will redefine computational boundaries. Our interdisciplinary team operates at the intersection of physics, computer science, and artificial intelligence, tackling challenges in cryptography, optimization, and machine learning. As a key innovator, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art research facility in San Francisco's tech corridor.
Why Nexus Future Labs? We offer competitive equity packages, unlimited professional development budgets, and flexible work arrangements. Our culture emphasizes intellectual curiosity and bold experimentation, with 20% of time dedicated to self-directed research initiatives. Benefit from our partnership with leading quantum hardware providers and access to cutting-edge supercomputing resources.
Responsibilities
- Design and implement novel quantum algorithms for complex optimization problems
- Develop error correction protocols to advance quantum coherence beyond 1000-qubit thresholds
- Lead cross-functional research initiatives in quantum machine learning applications
- Publish breakthrough findings in top-tier journals (Nature, Science, etc.)
- Collaborate with hardware teams to co-design quantum processors
- Secure external research funding through NSF and DARPA grants
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Publication record in quantum computing or related fields
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra and probability theory