Research Scientist, Applications & Algorithms

Job Description

Job Title: Senior Research Scientist, Applications & Algorithms. Location: Los Angeles

As a Senior Research Scientist on the Applications and Algorithms team, you will work on designing and building quantum algorithms for near-term quantum hardware; Your work will contribute directly to Q-CTRL’s product suite and help demonstrate real-world value from quantum computing.

Responsibilities:

  • Design and implement efficient solutions for real quantum hardware
  • Stay current on developments in quantum computing and control theory;
  • Apply concepts from control theory, machine learning, optimization, and data analysis
  • Optimize algorithms for near-term quantum devices, including quantum error correction
  • Translate research into production-ready software in collaboration with engineering
  • Collect and act on user feedback to improve product functionality;
  • Present research clearly to both technical and general audiences
  • Publish in peer-reviewed journals and present at industry conferences
  • Collaborate with industry and academic research partners
  • Use Python-based tools like Qiskit, NumPy, Scipy, Networkx, PyTorch, and Scikit-learn

Qualifications:

  • PhD (preferred) or advanced degree in Physics, Engineering, Computer Science, or Mathematics
  • Strong experience with quantum algorithms (e.g., simulation, optimization, error correction, QML)
  • Proven research record (publications, presentations);
  • Solid Python programming experience for scientific computing
  • Familiarity with Qiskit and executing circuits

Preferred:

  • Experience with Rust, C++, Julia
  • Knowledge of GPU/TPU acceleration;
  • Background in control theory, optimization, machine learning;
  • Familiarity with noise mitigation and pulse-level optimization in quantum systems
  • Strong scientific communication and visualization abilities

Compensation:

  • Base salary: $123,000 to $190,000;
  • May include bonuses, equity, and other benefits
  • Final offer depends on experience, role level, and location

JOB TYPE

Full-time

COMPENSATION

$123k - $190k

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