Software Engineer, ML Diagnostics & Fleet Analytics

Annapurna Labs (U.S.) Inc.; Austin (TX); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Annapurna Labs (U.S.) Inc. is hiring a Software Development Engineer II to build data pipelines and dashboards that aggregate diagnostic results across tens of thousands of servers.

You will own the metrics, alarms, and anomaly detection that surface test health and failure trends, with a focus on actionable insights for production gates. You will write production code, collaborate with hardware, firmware, provisioning, and data center operations, and ensure data quality.

Competenze

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Mansioni

• Design, build, and operate production data pipelines that ingest diagnostic, telemetry, and repair-ticket data from the Trainium and Inferentia fleet into a warehouse other teams query with confidence.
• Build and own the metrics, alarms, and anomaly detection that surface test regressions, failure-rate shifts, and new failure signatures across hardware generations without a human going looking for them.
• Build dashboards and visualizations that make fleet and test health legible to engineers, hardware partners, and leadership, covering failure rates, failure-signature breakdowns, first pass yield, and repair latency.
• Analyze large-scale fleet data to find root cause behind failure trends, and separate genuine hardware faults from software defects and test noise - a distinction that decides whether a failure reaches a technician or an engineer.
• Define the evidence standard that gates operational decisions, including whether a diagnostic has soaked long enough and cleanly enough in the fleet to move from observation mode into blocking production.
• Improve data quality and pipeline reliability so downstream consumers trust the numbers without re-deriving them.
• Write clear analyses and design documents for technical and non-technical readers, including leadership.

Conoscenze

Python

SQL

Data pipelines

Distributed systems

Formazione

Bachelor's degree in CS/Engineering/Math

Strumenti

Amazon Redshift

Apache Spark

Grafana

QuickSight

Descrizione del lavoro

Annapurna Labs (U.S.) Inc. is hiring a Software Development Engineer II to build data pipelines and dashboards that aggregate diagnostic results across tens of thousands of servers.

You will own the metrics, alarms, and anomaly detection that surface test health and failure trends, with a focus on actionable insights for production gates. You will write production code, collaborate with hardware, firmware, provisioning, and data center operations, and ensure data quality.