Senior AI Software Engineer

About The Role

The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Senior Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments.

What You Might Do

• Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance.
• Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices.
• Optimize data pipelines and storage solutions for real-time AI inference and processing.
• Implement security and privacy best practices for distributed AI systems.
• Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions.
• Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems.
• Develop robust logging, monitoring, and alerting systems to ensure system reliability.

Essential Qualifications

• 5+ years of experience in backend software development, with strong proficiency in Java, C++, or Python.
• Proficient in LLM integration into multi-agent systems with strong understanding of agent orchestration, tool use, and memory/context management.
• Comfortable tinkering with LLMs via prompting and experienced with tools use, task decomposition, and structured outputs.
• Experience building distributed systems, microservices, and cloud-native applications.
• Strong knowledge with building secure, privacy-aware interfaces between models, devices, and external services.
• Familiarity with database management systems (SQL and NoSQL) and data streaming technologies.
• Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Preferred Skills

• Experience with AI model deployment and integration into backend services.
• Knowledge of edge computing, networking, and security best practices.
• Exposure to cloud-edge hybrid architectures and distributed AI workloads.
• Familiarity with on-device AI frameworks such as TensorFlow Lite, ONNX Runtime, or CoreML.

Salary range: $149,000 - $240,000

Compensation & Benefits (Full-Time Employees)

The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

Equal Opportunity Employer (EEO) Statement

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).