Senior Software Engineer, Distributed Agentic AI Systems

We are looking for an experienced software engineer to build and integrate a software stack that enables connected PCs to share workloads and run AI inference across a private network. 

As part of the PS Engineering, Integrated Solutions & Ecosystem team, you will connect agentic AI frameworks with Windows, Linux, edge devices, and distributed networks. You will own technical experiments and hardware proofs of concept, translating findings into secure, reliable solutions and engineering direction. 

• →Build and integrate software stacks for hardware proofs of concept and workflow testing across closed PC clusters. 
• →Develop workload orchestration and AI inference offloading across client devices, private servers, and cloud environments. 
• →Deploy autonomous agents on Windows and Linux, integrating workflows with local hardware and edge devices. 
• →Automate software deployment and cluster configuration, including secure communication and data movement. 
• →Implement application security, policy management, and container or process isolation controls, including AppArmor and SELinux. 
• →Analyze telemetry, resource utilization, and bottlenecks during long-running agent simulations. 
• →Own experiments, test plans, documentation, and communication of findings; collaborate across business and engineering teams to define requirements. 
• →Evaluate emerging research and open-source technologies, contributing findings to engineering roadmaps and deployment improvements. 

• Typically 4–10 years of experience in software development, distributed systems architecture, systems programming, or a related field. 
• Bachelor’s or graduate degree in a relevant technical discipline, or equivalent practical experience. 
• Advanced Python proficiency and C++ development experience. 
• Deep understanding of AI inference, including practical knowledge of llama.cpp and vLLM. 
• Experience deploying autonomous agents using frameworks such as LangChain and LangGraph. 
• Experience with distributed computing, clustering, workload orchestration, and network offloading. 
• Deep Windows and Linux knowledge, including edge integration and Windows hardware and driver communication. 
• Experience with APIs, network protocols, application security, policy management, AppArmor, and SELinux. 
• Familiarity with RAG, MCP, and prompt engineering. 
• Strong analytical and English communication skills, with experience collaborating across teams in Agile and DevOps environments. 

• Low-level systems programming and LLM fine-tuning experience. 
• Experience with hardware proofs of concept and distributed AI workflow evaluation. 
• Experience assessing emerging research and open-source technologies through experimentation. 
• Relevant cloud, Linux administration, network security, or programming certifications. 

Salary: $110,300 - $202,450

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.