Software Engineer, AI Systems

As a Software Engineer for AI Systems at HP IQ, your primary responsibilities will include developing multi-threaded desktop applications for Windows using languages like C, C++, or C#. You'll collaborate with AI and product teams to seamlessly integrate local and cloud-based LLM features. Additionally, you'll be tasked with building scalable systems for on-device AI applications, and implementing frameworks for prompt engineering and document retrieval.

To qualify for the Software Engineer, AI Systems position at HP IQ, you should have at least 3 years of experience in software engineering, particularly in system-level programming. Proficiency in one or more compiled languages such as C, C++, or C# is crucial. Familiarity with Windows application development, multithreading, and memory management concepts is essential for this role.

While experience with AI is preferred, it is not necessarily required to pursue the Software Engineer, AI Systems position at HP IQ. However, exposure to large language models (LLMs) or local ML model integration will be beneficial. Candidates with a solid foundation in software engineering and a willingness to learn about AI technologies are encouraged to apply.

As a Software Engineer specializing in AI Systems at HP IQ, you will work on innovative projects that involve building intelligent applications. This could include enhancing productivity tools with AI capabilities, developing intuitive user interfaces for AI-driven workflows, and solving complex challenges that directly impact end-user workflow and creativity.

At HP IQ, you can expect extensive career growth opportunities within a collaborative and innovative environment. Besides a competitive salary range, the benefits include comprehensive health coverage, paid parental leave, a flexible work policy, and a strong emphasis on work-life balance, which allows you to thrive both professionally and personally.

When answering this question, be specific about the projects where you've implemented multithreading. Discuss challenges you've faced, how you optimized performance, and any tools or frameworks you've used. Highlight examples that showcase your problem-solving abilities.

Share specific debugging techniques you utilize such as using debuggers, memory profilers, or logging. Providing an example of a particularly challenging bug that you resolved can demonstrate your analytical skills and persistence.

Discuss your approach to integration, including any tools or methodologies you use. Provide examples of how you've successfully integrated new features in previous roles, emphasizing communication and collaboration with cross-functional teams.

Explain any hands-on experience you have with large language models or machine learning frameworks. Clarify your understanding of their applications and limitations, and how they impact software development.

Choose a project that required critical thinking and technical skills. Describe the challenges faced, the actions you took to resolve them, and the successful outcome, underscoring your ability to adapt and innovate in high-pressure situations.

Share your prioritization strategy, whether it's based on deadlines, project impact, or team needs. Providing examples of how you managed multiple priorities effectively can illustrate your time management skills.

Be specific about the tools, frameworks, and IDEs you've worked with, such as Visual Studio, .NET, or any relevant libraries. Discuss how your experience gives you an edge in developing robust applications.

Mention resources you rely on, like online courses, industry forums, or technical blogs. Show your dedication to continuous learning and adapting to new technologies that could benefit your work at HP IQ.

Highlight your communication skills and collaborative strategies. Discuss how you ensure alignment throughout the project lifecycle and provide examples of successful collaborations that led to innovative solutions.

Share your insights on how AI can streamline development processes, enhance user experiences, or impact product innovation. Connect your beliefs to real-world examples or trends that you’ve observed in the industry.