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# Observability Engineer, Optimus

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $252,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Information Engineering, Firmware, Python (Programming Language), PostgreSQL, NumPy, Reliability Engineering, SQL Databases, Test Data, Pandas, Information Technology, Vertica
- **Published:** August 9, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87366678/1

## About the Role

* Bachelor's Degree in Computer Science, Engineering, Physics, Math, or equivalent demonstrated skills, or equivalent experience

 * 2+ years of experience in data engineering, telemetry, reliability, or fleet analytics (or equivalent)

 * Strongproficiencyin Python (Pandas, NumPy) and SQL (PostgreSQL,ClickHouse, or similar)

 * Experience working with large-scale datasets and building reproducible analysis pipelines

 * Excellent written and verbal communication; ability to translate complex findings into executive-ready summaries

 * Self-starter mentality with a proventrack recordofidentifyingproblems and driving them to resolution in ambiguous environments

## Description

As aTelemetry Engineeron the Optimus team, you willbe responsible formonitoring andreporting onfleet-wide performance metrics, uptime, and serviceability across our humanoid robot platform.You'lldevelop and integrate processes, tools, and automation pipelines tomonitorand ensureoptimalperformance of robots in the field - turning raw telemetry into actionable engineering decisions., This role sits at the intersection of data engineering, reliability engineering, and robotics.You'lllead technical discussions on fleet health and analytics, collaborating with hardware, firmware, manufacturing, and service teams to drive measurable improvements in uptime andreliability. An ideal candidate combines strong data fundamentals (SQL, Python, large-scale analytics) with a self-starter mentality and the ability to thrive in a fast-moving, high-ambiguity environment.
What You'll Do

 * Perform detailed reviews of fleet performance,identifyingcommon failure modes, sources of downtime, and reliability trends across the robot fleet

 * Develop and execute cross-team strategies to resolve recurring issues and improve fleet reliability, serviceability, and uptime

 * Use SQL and Python to extract, organize, and analyze telemetry from a variety of sources, surfacing actionable insights on fleet performance and failure trends

 * Build andmaintainreporting systems - dashboards, automated reports, and executive-ready presentations - that communicate robot performance and operational trends clearly

 * Partner with engineering and operations teams to design tools and pipelines that scale fleet analytics as the robot population grows

 * Correlate field telemetry with manufacturing test data, HIL testing results, and firmware releases toidentifyroot causes andvalidatefixes

 * Participate in an on-call rotation to triage critical fleet incidents as needed


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