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Staff Research Scientist – Quantum Algorithms, Fault-Tolerant Applications
Q-CTRL. Identify, formulate, and prioritize applications offering credible opportunities for useful fault-tolerant quantum computation .
Posted 10/15/2026full-timeLos Angeles • California • United StatesLead💰 $185,000 - $265,000 per yearWebsite
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Identify, formulate, and prioritize applications offering credible opportunities for useful fault-tolerant quantum computation
- Design, implement, and analyze quantum algorithms for scientifically or commercially relevant problems
- Translate high-level algorithms into explicit logical workloads and quantify logical qubits, non-Clifford resources, circuit depth, measurements, runtime, and space-time overhead
- Develop algorithmic improvements that reduce fault-tolerant computation resource costs
- Establish rigorous classical baselines and quantitative criteria for assessing potential quantum advantage
- Build and maintain research software for algorithm implementation, simulation, benchmarking, and resource estimation
- Collaborate with researchers in quantum error correction, circuit synthesis, compilation, and control
- Use contemporary quantum hardware or early logical-qubit systems selectively for validation experiments
- Initiate and lead ambitious research projects, mentor researchers, and shape the Applications & Algorithms team’s technical direction
- Collaborate with engineering and product teams to translate research into reusable capabilities and technology-roadmap insights
- Publish and present research at peer-reviewed journals and leading conferences
- Engage with external academic, government, and industrial collaborators
- Communicate technical work to expert and broader technical audiences
Requirements
What you’ll need- Advanced degree in Physics, Computer Science, Mathematics, Chemistry, Engineering, or a related discipline (preferred, not required)
- PhD strongly preferred; exceptional candidates with equivalent research or industry experience considered
- Deep expertise in quantum computing and quantum algorithms
- Record of independently leading substantial research projects
- Experience with explicit implementations, numerical studies, or concrete resource estimates
- Strong record of impactful research demonstrated through publications, software, patents, presentations, or equivalent technical contributions
- Strong scientific-programming skills, particularly in Python
- Experience developing reliable research software
- Ability to reason critically about quantum and classical algorithms and construct credible classical baselines
- Broad scientific judgment and ability to identify important research problems, set technical direction, and carry projects through quantitative validation
- Experience using large language models or AI agents to accelerate scientific research
- Strong communication and collaboration skills across quantum algorithms, error correction, compilation, software engineering, and application domains
- Desirable skills include Hamiltonian simulation, quantum phase estimation, quantum signal processing/QSVT, block encoding, amplitude estimation, quantum chemistry, many-body physics, materials simulation, fault-tolerant resource estimation, quantum error correction, HPC, GPU computing, tensor-network methods, contemporary quantum hardware, quantum compiler development, circuit optimization, and quantum-learning theory
Benefits
Comp & perks- Annual discretionary bonuses may be available
- Equity potential
- Competitive benefits
- Flexible work arrangements
- Global office and team environment
- Benefits information available through Q-CTRL careers page