Staff Software Engineer, Quantum Error Correction Decoding, Quantum AI

• Propose, implement, and evaluate novel QEC decoding algorithms (e.g., for quantum LDPC codes targeting superconducting qubit and neutral atom architectures), automating evaluation pipelines to facilitate AI-assisted research.
• Architect and define scalable APIs to seamlessly integrate novel syndrome decoders and diagnostic tools with the broader classical software and quantum hardware stack.
• Partner cross-functionally with research scientists and electronics engineers to gather requirements and directly support live QEC experiments on Google's quantum computers.
• Drive technical strategy, scoping, and roadmap prioritization for complex quantum software initiatives across fault-tolerant computing workflows.
• Advocate engineering best practices across the team and actively mentor junior engineers through design reviews and technical guidance.

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or equivalent practical experience.
• 5 years of software development experience using C++ or Python, with experience in data structures and computer science.
• Experience designing, implementing, and optimizing novel algorithmic solutions for computational or performance-critical problems.
• Experience in systems-level programming, code optimization, or high-performance computing (e.g., concurrency, multithreading, or GPU acceleration).
• Experience leading technical design, defining system architectures/APIs, and mentoring junior engineers.

Preferred qualifications:

• Master's degree or PhD in Physics, Computer Science, Mathematics, or a related quantitative field.
• Experience developing or benchmarking syndrome decoding algorithms (e.g., BP-OSD, MWPM, tensor networks, or neural network decoders).
• Expertise in quantum error correction (QEC), including surface codes, color codes, or quantum LDPC (qLDPC) codes.
• Familiarity with physical qubit platforms and architectures, particularly superconducting qubits, neutral atoms, or trapped-ion systems.
• Strong background in classical coding theory, graph algorithms, belief propagation, or probabilistic modeling.

• Bachelor's degree in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or equivalent practical experience.
• 5 years of software development experience using C++ or Python, with experience in data structures and computer science.
• Experience designing, implementing, and optimizing novel algorithmic solutions for computational or performance-critical problems.
• Experience in systems-level programming, code optimization, or high-performance computing (e.g., concurrency, multithreading, or GPU acceleration).
• Experience leading technical design, defining system architectures/APIs, and mentoring junior engineers.