AI Software Engineer - HP IQ
About The Position
HP IQ is HP’s new AI innovation lab, combining startup agility with HP’s global scale. We are building intelligent technologies that redefine how the world works, creates, and collaborates. We are assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we are developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we are expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. 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 Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments.
Requirements
- Requires at least Masters in Computer Science, Engineering, Data Science, Artificial Intelligence or related fields.
- 1+ years of experience in backend software development, with strong proficiency in Python, Java, and C++.
- Working knowledge 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.
- 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.
Nice To Haves
- Experience with AI model deployment and integration into backend services.
- Exposure to cloud-edge hybrid architectures and distributed AI workloads.
- Familiarity with on-device AI frameworks such as PyTorch, TensorFlow Lite, ONNX Runtime, or CoreML.
Responsibilities
- Contribute to 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.
- 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.
- Support the implementation of security and privacy best practices for distributed AI systems.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave (US benefits overview)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
