Senior Software Engineer

This role offers the opportunity to work in a start-up-like incubation environment within HPs PC Design team moving quickly solving ambiguous product challenges and helping build new products that integrate edge AI into next-generation PC experiences. You will work closely with customers and cross-functional partners to understand real-world needs incorporate feedback into product development and help translate early concepts into scalable production-quality software.

Ideal candidates should have demonstrated excellence e.g. successful shipped new products/features at scale significant contributions to important open-source projects - in two or more of the following areas:

• Large language models

• Computer vision models

• Speech recognition and synthesis

• Audio-video multimodal models

• Human computer intelligent interactions

• Deep neural networks

• Model size reduction

• Synthetic photorealistic image data generation

• Robotics

• Embedded systems

• Cloud computing

• AI Agents

• Other relevant technologies (do tell us about them!)

This role requires strong technical judgment practical problem-solving skills and the ability to build reliable software in a fast-moving product development environment.

You will collaborate closely with cross-functional teams across software architecture UX product management hardware engineering security manageability validation DevOps systems engineering and AI/ML engineering to deliver scalable high-quality software capabilities.

Key Responsibilities

• Design develop and maintain full-stack software features across frontend applications backend services local application components cloud-connected workflows AI-enabled platform capabilities.

• Integrate evaluate and deploy machine learning models including LLMs vision models and audio models into production software covering data preprocessing inference pipelines evaluation and monitoring.

• Work with audio-video and multimodal models to enable capabilities such as meeting understanding video summarization audio-visual speaker attribution and cross-modal search.

• Fine-tune and adapt pre-trained models for product-specific use cases and define the datasets benchmarks and quality metrics used to measure and improve them.

• Design and implement agentic and retrieval-augmented (RAG) workflows that combine LLMs tool use and enterprise data sources.

• Design build and evaluate agentic AI workflows task decomposition planning and reasoning loops tool and function calling memory and context management and multi-agent orchestration that automate real user workflows end to end.

• Integrate machine learning models with cloud-based platforms and/or embedded systems for deployment in production environments.

• Define guardrails evaluation harnesses and observability for agentic systems including failure handling human-in-the-loop checkpoints cost and latency budgets and reliability metrics.

• Develop automated tests and contribute to CI/CD build pipelines code signing packaging and release readiness.

• Stay updated with the latest advancements in machine learning computer vision robotics and related fields to drive innovation within the organization.

• Mentor junior team members and actively participate in knowledge sharing activities.

Education and Experience

• Bachelors or Masters 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

Knowledge and Skills

• Experience building modern frontend applications using technologies such as Angular React TypeScript JavaScript HTML and CSS.

• Backend development experience with one or more languages such as C Rust Python C# Go or similar.

• Experience integrating AI services including LLMs and modern AI APIs.

• Hands-on machine learning experience with frameworks such as PyTorch TensorFlow / TensorFlow Lite ONNX Runtime or Hugging Face Transformers including model inference fine-tuning and evaluation.

• Experience designing multi-agent and long-running agentic pipelines with state management retries deterministic recovery and evaluation of end-to-end task success.

• Experience with LLMs Vision Language and speech models

• Understanding of deep neural networks and model optimization techniques such as quantization pruning distillation and model size reduction for edge and on-device deployment.

• Experience deploying and serving models in cloud and edge environments (AWS Azure or Google Cloud containerized inference GPU/NPU acceleration).

• Strong Python skills with practical experience in data preprocessing dataset creation and model evaluation metrics.

• Experience developing Windows desktop applications APIs and cloud-connected software.

• Strong debugging performance optimization and software troubleshooting skills.

• Experience with Git CI/CD pipelines automated testing and modern software development practices.

• Strong written and verbal communication skills with the ability to work effectively across global cross-functional engineering teams.

Preferred

• Experience with Tauri WebView WebRTC PowerShell COM or native Windows development.

• Experience with Microsoft Graph Azure Microsoft Intune ADMX/Group Policy or enterprise device management.

• Experience building and deploying real-time and streaming audio pipelines audio capture resampling chunking buffering WebSocket/gRPC streaming and low-latency inference.

• Experience with enterprise manageability solutions (MS Intune ADMX/Group Policy HP WXP or similar MDM/UEM platforms)

• Experience building telemetry diagnostics resource monitoring benchmarking and test automation frameworks.

• Experience with authentication identity SSO and enterprise integrations.

• Experience with LLM application patterns such as RAG function/tool calling agentic pipelines and prompt/context optimization.

• Experience running local or on-device inference on NPUs and accelerators (Windows ML/DirectML OpenVINO TensorRT CoreML or vendor NPU toolchains).

• Experience with computer vision object detection OCR and document digitization pose estimation or depth/3D estimation.

• Experience with speech synthesis (TTS) audio enhancement or noise suppression.