Job Description
Join Nexus Labs at the forefront of quantum innovation as we redefine computing for 2026 and beyond. We seek a Quantum Computing Research Scientist to develop next-generation algorithms and solve humanity's most complex challenges. Our Austin hub offers unparalleled resources, including access to 100+ qubit processors and a $500M R&D budget. Collaborate with Nobel laureates and industry pioneers in a culture that values audacious thinking and breakthrough results. Shape the future of cryptography, materials science, and AI while enjoying comprehensive benefits including equity, flexible schedules, and dedicated innovation time.
This role is pivotal in our mission to achieve quantum supremacy by 2028 and requires a blend of theoretical rigor and hands-on experimentation. You'll lead projects in quantum error correction, topological computing, and neuromorphic quantum architectures. Our Austin campus features state-of-the-art labs, wellness facilities, and a vibrant startup ecosystem. If you're driven to turn quantum theory into transformative reality, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead research initiatives in quantum error correction and fault-tolerant computing systems
- Develop hybrid quantum-classical frameworks for enterprise-scale problem-solving
- Collaborate with hardware teams to translate theoretical models into practical implementations
- Publish findings in top-tier journals (Nature, Science, PRL) and present at international conferences
- Mentor junior researchers and drive cross-functional innovation sprints
- Secure external funding through NSF and DOE grant applications
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years post-grad research
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and circuit optimization
- Proven track record of publishing high-impact quantum computing research
- Experience with quantum annealing, superconducting qubits, or photonic systems
- Strong background in linear algebra, probability theory, and computational complexity
- Proficiency in Python/C++ with scientific computing libraries (NumPy, TensorFlow Quantum)
- Demonstrated ability to lead cross-disciplinary technical teams