Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer the next frontier of computing. We're seeking a visionary Quantum Computing Researcher to help shape the 2026 digital landscape. You'll develop groundbreaking algorithms, optimize quantum systems, and collaborate with world-class teams to solve previously unsolvable problems in cryptography, AI, and material science.
Our Austin campus offers state-of-the-art facilities and a culture that encourages bold thinking. As part of our Quantum Research Division, you'll contribute to projects that will redefine computational possibilities and impact industries worldwide. This role combines deep technical expertise with strategic foresight, perfect for professionals passionate about building tomorrow's solutions today.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error correction protocols to enhance quantum system stability and scalability
- Collaborate with hardware teams to integrate quantum processors with classical computing frameworks
- Lead research initiatives in quantum cryptography and secure communication systems
- Publish findings in leading scientific journals and present at international conferences
- Identify emerging quantum computing trends and assess their commercial viability
- Mentor junior researchers and foster a culture of innovation within the quantum ecosystem
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Minimum 5 years of experience in quantum algorithm development or quantum hardware research
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Strong background in linear algebra, quantum mechanics, and computational complexity theory
- Published research in peer-reviewed quantum computing journals or conferences
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical applications