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HP Inc.

Makes computers and printers for work and home

Agentic AI Systems Evaluation Engineer

Performance TestingConfirmed live in the last 24 hours
Full-timeHouston, TX, USAIn-person

About the Job

Requirements

  • At least 7 years of experience in systems evaluation, performance engineering, software engineering, advanced validation, or a related field.
  • Strong understanding of AI systems and inference workloads, including model execution, prompt processing, and runtime behavior.
  • Experience designing benchmarking methodologies, selecting meaningful metrics, and interpreting complex system performance data.
  • Familiarity with model formats such as ONNX and GGUF, model runners, and the implications of different execution approaches.
  • Understanding of system-level performance, including compute utilization, memory constraints, concurrency, and interactions between AI workloads and the operating system.
  • Strong programming and automation skills in Python, C++, or another relevant language, with experience building evaluation tools or data analysis workflows.
  • Ability to translate technical measurements into customer impact and communicate actionable findings across product, architecture, and engineering teams.
  • Bachelor’s degree in computer science, statistics, software engineering, a related field, or equivalent practical experience.

Responsibilities

  • Translate user stories and intended customer experiences into measurable success criteria, evaluation scenarios, and performance targets.
  • Design repeatable benchmarking frameworks that assess AI workload effectiveness and system behavior throughout development.
  • Compare model formats, model runners, runtime implementations, and hardware configurations using representative workloads and controlled measurements.
  • Analyze inference behavior, including prompt processing, time to first token, token generation rate, latency, and memory consumption.
  • Evaluate system responsiveness and resource utilization under individual and concurrent AI workloads, including effects on other PC activities.
  • Interpret benchmark and telemetry data to distinguish meaningful improvements, regressions, measurement variability, and gaps in evaluation coverage.
  • Provide actionable feedback to architects and engineers, connecting technical findings to customer impact and recommending further investigation.
  • Build automation and reporting tools that make evaluations reproducible and results accessible to development teams.
  • Communicate performance trends, trade-offs, and progress against customer outcomes through technical reviews and concise executive reports.

Desired Qualifications

  • Experience evaluating AI workloads on Windows and Linux PCs or other edge devices.
  • Knowledge of attention mechanisms, KV caching, quantization, and other inference optimization concepts and their implications for evaluation.
  • Experience analyzing device telemetry and combining benchmark results with observations from representative customer scenarios.
  • Familiarity with CPU, GPU, and NPU execution and the challenges of comparing performance across heterogeneous hardware.
  • Experience with statistical analysis, experimental design, and methods for separating real performance changes from measurement noise.
  • Background in advanced systems validation with substantial depth in AI inference, performance analysis, and benchmarking automation.

About the Company

HP Inc.

Makes computers and printers for work and home

HP designs personal computers, printers and related supplies for households, businesses and public institutions, with products for everyday work and professional computing. Its Z workstations support demanding technical tasks, while its commercial printing systems serve offices, print shops and industrial manufacturers. It sells devices and replacement supplies directly and through partners, and earns service revenue from software, support and managed computer and printer fleets. Founded as a partnership in 1939, the company is headquartered in Palo Alto, California, and retained the PC and printing businesses after separating Hewlett Packard Enterprise in 2015.

Company size
10,001+
Company stage
IPO
Headquarters
Palo Alto, CA
Founded
1939

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