AI Software Engineer

HP Inc.

Confirmed live today High trust

Quick summary

Work type: On-site
Location: San Francisco, CA
Salary: $127,000–$175,000 / yr
Posted: 32 days ago
Freshness: Confirmed live today
Closes: Mar 24, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k

This role $151k

$115k $236k

below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $142,400–$222,125 — the blue band above. At the midpoint, this role pays about $151k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About HP Inc.

HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.

HP Inc. currently has 115 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 95 roles with salary data.

Most-posted roles

View all roles at HP Inc.

At a glance

TL;DR · AI Software Engineer

Role Posting Log in to save

JOB TITLE: AI Software Engineer - HP IQ The AI Software Engineer - HP IQ joins the AI team to develop high-performance, scalable services supporting AI workloads across edge and cloud environments. You will design and maintain services, develop APIs and microservices for cloud-to-edge integration, and optimize data pipelines for real-time inference. A primary focus involves building an agent orchestration runtime for tool use, memory management, and multi-step reasoning across LLMs and edge-connected systems. The role requires proficiency in Python, Java, and C++, along with experience in LLM integration, SQL, and NoSQL databases. You will utilize data streaming technologies and potentially work with PyTorch, TensorFlow Lite, ONNX Runtime, or CoreML. This position solves the technical challenge of deploying distributed AI systems while ensuring security and privacy across hybrid architectures.

Skills

Python Java C++ LLM PyTorch TensorFlow Lite ONNX Runtime CoreML SQL NoSQL Microservices APIs Data Pipelines Agent Orchestration Cloud-Edge Hybrid Architecture Distributed AI Systems Data Streaming Agile

What you'll do

Design, build, and maintain scalable services to power AI-driven applications.
Develop APIs and microservices to integrate cloud-based AI models with edge devices.
Optimize data pipelines and storage solutions for real-time AI inference and processing.
Build and optimize an agent orchestration runtime for LLM tool use and memory management.
Implement security and privacy best practices for distributed AI systems.
Deploy and integrate AI models into backend services across cloud-edge hybrid architectures.

What we're looking for

Requires at least a Master's in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
Requires at least 1+ years of experience in backend software development.
Requires strong proficiency in Python, Java, and C++.
Requires working knowledge of LLM integration into multi-agent systems, including agent orchestration, tool use, and memory management.
Requires familiarity with SQL and NoSQL database management systems and data streaming technologies.
Requires strong problem-solving skills and the ability to work in a fast-paced, agile environment.
Experience with AI model deployment and integration into backend services (preferred).
Exposure to cloud-edge hybrid architectures and familiarity with on-device AI frameworks like PyTorch or TensorFlow Lite (preferred).

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