Senior Software Engineer

HP Inc.

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Spring, TXPalo Alto, CA
Salary: $165,450–$259,750 / yr
Posted: 25 days ago
Freshness: Confirmed live yesterday
Closes: Feb 13, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $213k

$103k most similar roles pay here $277k

This role pays more than 81% of similar roles. Most pay $149,500–$187,587 — the shaded band above. At the midpoint, this role pays about $213k versus about $169k 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 · Senior Software Engineer

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Senior Software Engineer The Senior Software Engineer joins the PC Design team to develop software platforms within the device and services ecosystem. This role involves designing, implementing, and validating modern software experiences including client applications, backend services, cloud integrations, and enterprise-ready workflows. You will build agentic AI workflows, integrate large language models, vision models, and speech synthesis into production systems, and manage RAG pipelines for automated user tasks. The technical stack includes Python, C++, Rust, and Node.js for backend development, alongside Angular, React, TypeScript, and CSS for frontend work. You will utilize frameworks like PyTorch, TensorFlow, and Hugging Face to deploy models on cloud platforms or embedded systems using ONNX Runtime and TensorRT. Key responsibilities include fine-tuning models, developing CI/CD pipelines, and solving complex problems involving edge AI integration into next-generation PC experiences.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

LLMs RAG PyTorch TensorFlow Hugging Face Python C++ Rust Go TypeScript React Angular AWS Azure Google Cloud CI/CD ONNX Runtime OpenVINO TensorRT WebRTC gRPC Windows Development Computer Vision Speech Synthesis Embedded Systems

What you'll do

Develop and maintain full-stack features across frontend applications, backend services, and cloud-connected workflows.
Integrate, evaluate, and deploy machine learning models including LLMs, vision models, and audio models into production software.
Fine-tune pre-trained models for specific use cases while defining datasets, benchmarks, and quality metrics.
Design and implement agentic and retrieval-augmented (RAG) workflows using LLMs, tool calling, and enterprise data.
Build automated agentic AI workflows featuring task decomposition, planning loops, and multi-agent orchestration.
Integrate machine learning models with cloud platforms and embedded systems for production deployment.
Establish guardrails, evaluation harnesses, and observability metrics for agentic systems to ensure reliability.
Develop automated tests and contribute to CI/CD pipelines, build processes, and release management.

What we're looking for

Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Machine Learning, Mathematics, or equivalent practical experience.
4-8 years of full-stack software development experience across frontend, backend, and application-level development.
Hands-on experience building, fine-tuning, or deploying machine learning models in production systems.
Proficiency in modern frontend technologies (Angular, React, TypeScript, JavaScript) and backend languages (C++, Rust, Python, C#, Node.js, or Go).
Experience integrating AI services including LLMs, vision models, speech models, and RAG workflows.
Expertise with machine learning frameworks such as PyTorch, TensorFlow/TensorFlow Lite, ONNX Runtime, or Hugging Face Transformers.
Experience deploying and serving models in cloud (AWS, Azure, Google Cloud) and edge environments using GPU/NPU acceleration.
Proficiency in Python for data preprocessing, dataset creation, and model evaluation metrics.

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