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HP

AI Runtime, ML Model Systems Engineer

HP

. Develop runtime abstraction layers and intelligent model placement systems across heterogeneous compute resources .

Posted 9/30/2026full-timeHouston • Texas • United StatesSeniorLead💰 $130,700 - $205,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing runtime abstraction layers and intelligent model placement systems, with a strong focus on AI runtime, software architecture, and deployment strategies. Proficient in utilizing modern software development tools and methodologies to optimize performance and ensure security.

Highest-signal resume keywords
AI Runtime ExpertiseExperience With ONNXExperience With TensorRTExperience With OpenVINONPU/GPU Scheduling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentSoftware ArchitectureC++JavaJavaScriptPythonSQLAgile MethodologyFull Stack DevelopmentMicroservices
Tools & Technologies
AWSDockerKubernetesDevOpsReact.jsEdge AI Deployment
Industry Keywords
Model Placement PoliciesRuntime Abstraction FrameworksInference Execution OptimizationSoftware Engineering Proof of ConceptsAutomation

Tech Stack

Tools & technologies
AWSAzureDockerJavaJavaScriptKubernetesMicroservicesPythonReactSQLC++

About the role

Key responsibilities & impact
  • Develop runtime abstraction layers and intelligent model placement systems across heterogeneous compute resources
  • Ensure the technical design, development, installation, and maintenance of software applications and services
  • Build runtime abstraction frameworks
  • Implement model placement policies
  • Develop xPU routing logic
  • Optimize inference execution
  • Lead software development projects and platforms aligned with business and security strategies
  • Build standards, designs, and automate software deployment
  • Design and develop solutions that protect and manage software products and data
  • Contribute to technology strategy, engineering roadmaps, and software engineering proof of concepts
  • Supervise external engineering vendors, analyze vendor testing, and provide feedback and expertise to technicians
  • Help developers and engineers deliver faster with modern software and application development tools

Requirements

What you’ll need
  • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline, or commensurate work experience or demonstrated competence
  • Typically 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field
  • Strong AI runtime expertise
  • Experience with ONNX, TensorRT, and OpenVINO
  • Experience with NPU/GPU scheduling
  • Experience with Edge AI deployment
  • Knowledge of Agile Methodology, AWS, APIs, automation, C++, DevOps, Docker, full stack development, Java, JavaScript, Kubernetes, microservices, Microsoft Azure, Python, React.js, scalability, software development, software engineering, and SQL
  • Ability to work in the Houston office 4 days per week
  • Willingness to travel 25%

Benefits

Comp & perks
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • Bonus and/or equity opportunities