Quera

1 month ago

AI for Quantum Operations Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead the AI for Quantum Operations roadmap and execution, coordinating AI-assisted calibration, diagnostics, prediction, and recovery across quantum systems. Drive measurable improvements in uptime, calibration speed, and operator decision-making while ensuring deterministic control and safety software remains authoritative.

Location: Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Manager level

Key Responsibilities

•Define and drive the AI operations roadmap across calibration optimization, atom image/readout analysis, drift prediction, root-cause diagnosis, and recovery recommendation.
•Partner with quantum systems, controls, software, hardware, and ML teams to identify high-value workflows where AI can safely propose, rank, predict, or optimize.
•Establish the bounded-AI operating model: AI provides recommendations or constrained optimizations, while deterministic control software enforces timing, hardware limits, validation, rollback, and safety logic.
•Prioritize AI pilots for Quokka, Calibration Manager, telemetry systems, readout pipelines, and QPU operations workflows.
•Own requirements for dataset traceability, model validation, observability, offline replay, deployment gates, and operator-facing explainability.

Key Requirements

•Strong technical leadership experience in AI/ML, controls, robotics, scientific instrumentation, or complex hardware operations.
•Experience bringing ML models into production environments with reliability, safety, traceability, and operator trust.
•Ability to work across software, hardware, physics, and operations teams.
•Strong systems thinking and ability to define the boundary between AI recommendations and deterministic software controls.

Experience:Quantum computingAI/MLHardware operations

Skills:AI/MLControlsRoboticsScientific instrumentationQuantum computing

Languages:English

Tech Stack:AIMachine learningBayesian optimizationTime-series forecastingComputer visionAnomaly detectionHardware-in-the-loopCalibration workflows

Company Brief

Quera

Quera operates an online programming education and competitive programming platform, offering coding problems, contests, training resources, and recruitment tools primarily for Persian-speaking students and developers.

Industry: EdTech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Headquarters: Tehran, Iran

Website

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Quera

1 month ago

AI for Quantum Operations Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Manager level

Key Responsibilities

•Define and drive the AI operations roadmap across calibration optimization, atom image/readout analysis, drift prediction, root-cause diagnosis, and recovery recommendation.
•Partner with quantum systems, controls, software, hardware, and ML teams to identify high-value workflows where AI can safely propose, rank, predict, or optimize.
•Establish the bounded-AI operating model: AI provides recommendations or constrained optimizations, while deterministic control software enforces timing, hardware limits, validation, rollback, and safety logic.
•Prioritize AI pilots for Quokka, Calibration Manager, telemetry systems, readout pipelines, and QPU operations workflows.
•Own requirements for dataset traceability, model validation, observability, offline replay, deployment gates, and operator-facing explainability.

Key Requirements

•Strong technical leadership experience in AI/ML, controls, robotics, scientific instrumentation, or complex hardware operations.
•Experience bringing ML models into production environments with reliability, safety, traceability, and operator trust.
•Ability to work across software, hardware, physics, and operations teams.
•Strong systems thinking and ability to define the boundary between AI recommendations and deterministic software controls.

Experience:Quantum computingAI/MLHardware operations

Skills:AI/MLControlsRoboticsScientific instrumentationQuantum computing

Languages:English

Tech Stack:AIMachine learningBayesian optimizationTime-series forecastingComputer visionAnomaly detectionHardware-in-the-loopCalibration workflows

Company Brief

Quera

Industry: EdTech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Headquarters: Tehran, Iran

Website