Observability, Data Scientist

Salary Range: PLN 350700 - 474400 Benefits Equity

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore were building the future of AI a team of semiconductor software and AI experts with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter part of the SoftBank Group backed by significant long-term investment we are delivering key technology into the fast-growing SoftBank AI meet the vast and exciting AI opportunity Graphcore is expanding its teams around the are bringing together the brightest minds to solve the toughest problems in a place where everyone has the opportunity to make an impact on the company our products and the future of artificial intelligence.

Job Summary
We are seeking a Data Scientist / Data Analyst to transform large-scale infrastructure and hardware-level telemetry into actionable insights predictive intelligence and automated decision systems.

Working closely with telemetry platform engineers you will analyze data across the full stack - from data center infrastructure down to chip-level signals (power thermals performance counters reliability indicators) to detect anomalies predict failures and optimize system behaviour. This role complements telemetry engineering by extracting intelligence from observability systems and enabling data-driven control loops.

You will operate at the intersection of data science distributed systems and infrastructure observability.

Key Responsibilities

Data Analysis & Modelling

• Analyse large-scale telemetry datasets (metrics logs events) across multiple layers: data center (clusters networking cooling) system (servers accelerators) silicon-level (on-chip sensors performance counters voltage thermal error signals).
• Develop anomaly detection models for infrastructure-level events and hardware/silicon anomalies (e.g. thermal hotspots voltage instability error rate drift).
• Build predictive models for fault detection and failure forecasting (e.g. hardware degradation thermal issues network anomalies).
• Apply statistical and machine learning techniques to identify patterns and root causes.

Automation & Intelligence

• Design automated remediation strategies informed by both system and hardware-level signals.
• Collaborate with engineering teams to integrate models into observability and control systems.
• Enable closed-loop optimization using real-time hardware telemetry streams.

Data Engineering Collaboration

• Work with telemetry engineers on data ingestion pipelines ensuring data quality and usability.
• Help define schemas feature extraction pipelines and aggregation strategies (e.g. down-sampling windowing).
• Optimize use of time-series databases and analytics platforms.

Visualization & Reporting

• Build dashboards and visualizations for operational insights (Grafana Superset etc.).
• Present complex data in clear actionable formats for engineering and leadership.
• Define KPIs and health metrics for infrastructure systems.

Cross-Functional Collaboration

• Partner with platform hardware and software teams to understand system behaviour.
• Support debugging performance analysis and benchmarking efforts using telemetry data.
• Contribute to reference designs and best practices for observability and analytics.

Skills and Experience

Essential:

• BSc/MSc/PhD in Data Science Computer Science Statistics or related field.
• Strong experience with time-series data analysis and large-scale telemetry datasets.
• Proficiency in Python (NumPy Pandas SciPy ML frameworks).
• Experience with:
  • Anomaly detection techniques (statistical ML-based)
  • Predictive modeling and forecasting
  • Signal processing techniques (filtering smoothing FFT or similar is a plus)
  • Data visualization tools (e.g. Grafana Tableau Plotly)
• Familiarity with:
  • Time-series databases (e.g. Prometheus InfluxDB)
  • Observability stacks and monitoring systems
• Strong understanding of data pipelines and distributed systems.
• Excellent communication skills - ability to translate data insights into engineering actions.

Desirable:

• Experience with data center infrastructure hardware telemetry and cloud platforms.
• Knowledge of monitoring observability and management solutions in use by hyperscalers.
• Familiarity with root cause analysis in distributed systems.
• Experience deploying models into production.
• Understanding of system architecture (CPU/GPU/accelerators networking) .
• Experience with real-time analytics frameworks (Kafka Flink Spark).

Benefits

In addition to a competitive salary annual leave policy medical and dental health plans a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; were committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the Poland. Unfortunately at this time we are unable to provide visa sponsorship or support for visa applications.