Staff Research Scientist (Quantum Algorithms)

Location: Los Angeles, United States; hybrid

Base salary: $185,000–$265,000 per year, plus potential annual discretionary bonuses, equity, and other compensation.

Company

hirify.global develops AI-powered quantum control infrastructure software for quantum computing and quantum sensing, with global offices and a focus on turning quantum research into deployable technology.

What you will do

• Identify and prioritize applications with credible potential for useful fault-tolerant quantum computation.
• Design, implement, and analyze quantum algorithms for scientific and commercial problems.
• Translate algorithms into logical workloads and quantify qubits, non-Clifford resources, circuit depth, measurements, runtime, and space-time overhead.
• Develop resource-efficient algorithmic primitives, research software, simulations, benchmarks, and resource-estimation tools.
• Collaborate with researchers in quantum error correction, compilation, circuit synthesis, control, software engineering, and application domains.
• Lead research projects, mentor researchers, guide technical direction, publish results, and translate findings into product and engineering capabilities.

Requirements

• Advanced degree in physics, computer science, mathematics, chemistry, engineering, or a related discipline; a PhD is strongly preferred.
• Deep expertise in quantum computing and quantum algorithms, with independently led research projects.
• Experience with concrete implementations, numerical studies, resource estimates, and credible classical baselines.
• Strong scientific-programming skills in Python and experience developing reliable research software.
• 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, plus strong communication and collaboration skills.

Nice to have

• Experience with Hamiltonian simulation, quantum phase estimation, quantum signal processing, QSVT, block encoding, or amplitude estimation.
• Background in quantum chemistry, many-body physics, materials simulation, or other scientific-computing applications.
• Experience with fault-tolerant resource estimation, logical circuit synthesis, quantum error correction, or quantum compiler development.
• Experience with HPC, GPU computing, tensor networks, contemporary quantum hardware, or emerging quantum-advantage applications.

Culture & Benefits

• Multidisciplinary research environment spanning quantum algorithms, error correction, compilation, control, software, and applications.
• Flexible hybrid work environment focused on outcomes rather than hours.
• Potential for equity and competitive benefits.
• Opportunities to collaborate with academic, government, and industrial partners and present research at leading conferences.