✦ Luna Orbit — Data & Analytics

Performance Engineer

at Salesforce

📍 2 Locations Unknown 💰 $148K – $223K USD / year Posted March 18, 2026
Salary $148K – $223K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role focuses on benchmarking and optimizing the performance of AI models and systems, developing automation frameworks, and analyzing large datasets to support AI platform scalability.

  • Designing performance experiments
  • Automating performance tests
  • Analyzing AI system data
  • Benchmarking system scalability
  • Supporting AI platform performance

The technical environment involves performance testing tools, automation frameworks, AI models including large language and toxicity models, and continuous integration systems for performance measurement.

The ideal candidate is a mid-level performance engineer with experience in benchmarking, automation frameworks, and AI model performance analysis. They are skilled in data analysis, performance experiments, and continuous integration to optimize AI platform scalability.

performance testingautomation frameworksdata analysisAI modelsperformance experiments
Large Language ModelsToxicity modelsPII modelscontinuous integrationperformance optimization
Automation frameworksCI toolsAI platforms
performance testingbenchmarkingdata analysisautomation frameworksAI modelslarge language modelstoxicity modelsPII modelsperformance experimentscontinuous integration
Performance testingBenchmarkingData analysisAutomation frameworksAI modelsLarge Language ModelsToxicity modelsPII modelsPerformance experimentsContinuous integration
collaborationproblem-solvinganalytical thinkingcommunicationteamwork
Industry SaaS / Cloud Software
Job Function Optimizing AI system performance through benchmarking, automation, and data analysis.
Role Subtype Data & Analytics
performance engineerperformance testingbenchmarkingdata analysisautomation frameworksAI modelslarge language modelstoxicity modelsPII modelsperformance experimentscontinuous integrationperformance optimizationAI platformscale initiativesdata-drivensoftware performanceautomationbenchmark testsperformance measurement

Lack of experience with performance testing, No background in data analysis, No experience with AI models or large language models, Insufficient automation skills

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