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1–2 jobs· newest first

Senior Research Scientist, QEC Physics Design, Quantum AINew
Google · Goleta, US+1 more
$174K–$252KOn-site · Full-time · Senior
Intern
Shell · The Hague, Netherlands
Internship · Intern

+10K new in the last hour

Senior Research Scientist, QEC Physics Design, Quantum AI

Google · Posted Nov 12, 2026

Goleta, California, United States +1 more
On-site
Full-time · Senior
$174K–$252K per year

2+ years

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Locations (2)

Goleta, California, United States
Los Angeles, California, United States

Compensation

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Evaluate logical performance of proposed processor architectures (including novel QEC codes, modular and multiplexed control schemes, and alternative superconducting qubit or gate designs) prior to fabrication
Develop and adapt models of correlated physical error mechanisms, such as leakage and two-level system (TLS) defects, to build realistic logical error budgets beyond simplified noise models
Architect, build, and maintain modular end-to-end Python simulation pipelines that bridge electromagnetic and device-level physics models with processor noise models and circuit-level QEC simulations
Partner closely with processor design, device modeling, and QEC protocol teams to drive processor design trade-offs and actionable hardware roadmap recommendations
Analyze experimental data from QEC and hardware testbed devices to validate simulation predictions and uncover unmodeled physical error mechanisms

Requirements

PhD in Physics, Quantum Information, Electrical Engineering, Computer Science, or a related technical field
Nice to have: superconducting qubit physics
Nice to have: circuit QED
Nice to have: physical error mechanisms
Nice to have: QEC simulation and decoding tools

Skills

quantum error correction fault-tolerant architectures circuit-level noise simulation decoding physical noise and device modeling numerical simulations modular scientific software in Python Python Stim near-clifford simulators

Benefits

15% bonus target
equity
benefits

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Intern

Shell · Posted Nov 6, 2026

The Hague, South Holland, Netherlands
Internship · Intern

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Conduct an engineering study to investigate machine learning algorithms for damage detection in mooring systems of floating facilities.

Responsibilities

Conduct literature investigation
Liaise with existing assets in GoM and/or Malaysia for data
Perform numerical simulations of real-life mooring systems
Develop machine learning algorithm to detect damage conditions
Produce a study report and presentation

Requirements

Master's degree in Offshore & Dredging (TU-Delft)

Skills

Machine learning Numerical simulations Literature research Machine learning algorithms

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