Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop groundbreaking algorithms and solve previously unsolvable computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for innovation, including access to quantum hardware and a collaborative interdisciplinary team. You'll contribute to projects that will redefine industries from pharmaceuticals to climate modeling, shaping the technological landscape of tomorrow.
As part of our elite research division, you'll engage in cutting-edge experiments, publish groundbreaking papers, and collaborate with Nobel laureates. We offer competitive compensation, comprehensive benefits, and a flexible work environment designed for peak creativity. This is your opportunity to be part of the quantum computing revolution that will define the next decade.
Responsibilities
- Design and implement quantum algorithms for practical 2026-era applications
- Lead experimental research on quantum error correction and fault tolerance
- Collaborate with cross-functional teams to integrate quantum solutions with classical systems
- Publish peer-reviewed research and present findings at international conferences
- Develop quantum software frameworks for industry-specific optimization problems
- Mentor junior researchers and contribute to patent portfolios
- Stay current with emerging quantum technologies and competitive landscape
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on quantum algorithm development experience
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum hardware architectures and constraints
- Strong publication record in top-tier quantum computing journals
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Expertise in linear algebra, probability theory, and computational complexity
- Demonstrated ability to translate theoretical concepts into practical implementations