AI Software Engineer

HP Inc.

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$127,000–$175,000 / yr
Posted
36 days ago
Freshness
Confirmed live 2 days ago
Closes
Feb 2, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k
This role $151k
$116k most similar roles pay here $226k

This role pays less than 68% of similar roles. Most pay $145,525–$214,000 — the shaded band above. At the midpoint, this role pays about $151k versus about $180k 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 104 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 90 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

As an AI Software Engineer - HP IQ, you will join the AI team to design and develop high-performance, scalable services supporting AI workloads across edge and cloud environments. You will build and maintain services for AI-driven applications, develop APIs and microservices for seamless integration between cloud models and edge devices, and optimize data pipelines for real-time inference. A key responsibility involves building an agent orchestration runtime to enable tool use, memory management, and multi-step reasoning across LLMs and distributed systems. You will utilize Python, Java, C++, SQL, and NoSQL databases while working with PyTorch, TensorFlow Lite, ONNX Runtime, or CoreML. The role focuses on the technical challenge of integrating AI advancements into hardware ecosystems through cloud-edge hybrid architectures and managing complex multi-agent systems to solve problems in distributed AI environments.

Skills

Python Java C++ LLM Agent Orchestration Microservices SQL NoSQL PyTorch TensorFlow Lite ONNX Runtime CoreML Data Pipelines Cloud-Edge Hybrid Architecture 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 tool use, memory management, and multi-step reasoning.
  • Implement security and privacy best practices for distributed AI systems.
  • Integrate LLMs into multi-agent systems using advanced prompting and task decomposition.

What we're looking for

  • Must have a Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
  • Requires at least 1 year of experience in backend software development.
  • Must be proficient in Python, Java, and C++.
  • Must have working knowledge of LLM integration into multi-agent systems including agent orchestration and memory management.
  • Must be experienced with prompt engineering, tool use, task decomposition, and structured outputs.
  • Requires familiarity with SQL and NoSQL database management systems and data streaming technologies.
  • Preferred experience includes AI model deployment and integration into backend services.
  • Preferred experience includes cloud-edge hybrid architectures and on-device AI frameworks like PyTorch or TensorFlow Lite.

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