Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum computing applications for global sustainability challenges. We're seeking a visionary Research Scientist to architect next-gen quantum algorithms that will redefine computational boundaries. Our interdisciplinary team operates at the intersection of quantum physics, AI, and climate science, with access to state-of-the-art quantum processors and a $50M research fund.
This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and directly impact projects including quantum-optimized climate modeling and sustainable materials discovery. You'll work in our Austin Innovation Hub, a LEED Platinum-certified facility featuring quantum laboratories, AI training centers, and collaborative maker spaces.
Responsibilities
- Design and implement novel quantum algorithms for climate modeling and materials science applications
- Lead cross-functional teams of physicists, engineers, and data scientists on 2026-era quantum projects
- Develop quantum machine learning frameworks for predictive environmental analytics
- Secure federal and private research grants for quantum sustainability initiatives
- Publish peer-reviewed research in top-tier journals and present at international quantum conferences
- Mentor junior researchers in quantum computing methodologies and ethical AI deployment
- Collaborate with industry partners to commercialize quantum breakthroughs
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum algorithms or quantum machine learning
- Expertise in quantum error correction and fault-tolerant computing architectures
- Strong background in climate science or materials modeling (bonus)
- Proven ability to secure research funding ($500K+ in grants preferred)
- Experience mentoring graduate-level researchers in quantum technologies
- Proficiency in Python, C++, and high-performance computing environments