Software Engineering Intern, AML Platform (Summer 2027)

HP IQ; San Francisco (CA); On-site; USD 62,000 - 70,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave (4-12 weeks)

Holidays (11)

Paid vacation & sick leave

Job summary

HP IQ is seeking a Software Engineering Intern for the AML Platform (Summer 2027) in San Francisco. You will help optimize model inference, orchestration, and fine-tuning within a cross-functional team, gaining exposure to end-to-end AI systems on-device.

You will collaborate with experienced engineers, contribute to core AML pillars, and participate in open-source or internal library work while building real-world skills in AI model deployment and optimization.

Qualifications

• Currently pursuing a degree in Computer Science, Engineering, or related field; coursework in ML or systems engineering is helpful.
• Demonstrated ability to articulate goals, outcomes, and decisions clearly to peers and mentors.
• Familiarity with model inference, orchestration frameworks, or model fine-tuning; project or open-source work is valued.
• Strong collaboration ethos; able to work across cross-functional teams and take ownership.
• Strong debugging and decision-making skills when multiple approaches exist.

Responsibilities

• Work on model hosting and inference optimization; profile, benchmark, and accelerate model execution on edge devices.
• Contribute to orchestration frameworks and agent workflows; build robust, scalable orchestrations.
• Participate in model customization and fine-tuning; run experiments and evaluate results.
• Collaborate with system software, design, and product teams to integrate work into the platform.
• Contribute to open-source projects or internal libraries related to inference or training.

Skills

Technical communication

Cross-functional collaboration

Debugging & problem solving

System-level thinking

Education

Pursuing CS/Engineering degree

ML or systems coursework

Tools

LangGraph

LangChain

Python

PyTorch

TensorFlow

HuggingFace

FastAPI

Job description

Software Engineering Intern, AML Platform (Summer 2027)

Who We Are

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.

We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re 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’re 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.

About The Role

HP IQ's AI Machine Learning (AML) team is building the foundational platform powering a new generation of agentic devices. This platform orchestrates the complete lifecycle of AI models: from creation and fine-tuning through optimized inference and intelligent orchestration. The team works to make complex AI capabilities run efficiently on-device, enabling locally-deployed agentic experiences that reduce token costs and improve privacy. In this internship role, you will contribute to one or more core pillars of the AML platform: model inference optimization, orchestration and agent workflows, or model creation and fine-tuning. You will partner closely with experienced engineers to ship features that directly impact HP's next-generation devices and gain visibility into how each component of an end-to-end AI system integrates and scales.

What You Might Do

• Work on model hosting and inference optimization, learning how to profile, benchmark, and accelerate model execution on resource-constrained devices; experiment with quantization, distillation, or other optimization techniques to reduce latency and memory footprint.
• Contribute to orchestration frameworks and agent workflows, building or extending systems that coordinate multiple models and agents using tools like LangGraph or LangChain; develop an understanding of when agentic patterns are appropriate and how to design robust, scalable orchestrations.
• Participate in model customization and fine-tuning, taking pre-trained language models and adapting them for specific use cases; conduct experiments, evaluate results, and iterate on model configurations to improve performance for target tasks.
• Collaborate cross-functionally with system software, design, and product teams to understand how your work integrates into the broader platform; communicate progress, challenges, and technical decisions clearly and seek mentorship from engineers with deep expertise in your focus area.
• Contribute to open-source projects or internal libraries relevant to inference, orchestration, or model training; demonstrate ownership of end-to-end outcomes and ownership of improving the platform's capabilities and reliability.

Essential Qualifications

• Currently pursuing a degree in Computer Science, Engineering, or related field, or equivalent practical experience. Some coursework or project experience in machine learning, systems engineering, or software development is expected.
• Demonstrated technical communication skills: ability to articulate project goals, outcomes, challenges, and technical decisions clearly; comfort explaining technical concepts to peers and mentors.
• Genuine familiarity with one or more of the following: model inference and optimization, orchestration frameworks (LangGraph, LangChain), model fine-tuning and adaptation, or similar systems-level AI work. Project experience, open-source contributions, or course projects demonstrating depth in at least one area are highly valued.
• Collaboration and ownership mindset: comfort working in cross-functional teams, asking for help when needed, and taking responsibility for outcomes; ability to operate with some ambiguity and seek clarity proactively.
• Problems-solving orientation: ability to debug issues, evaluate technical tradeoffs, and make reasonable decisions when multiple approaches are viable.

Preferred Skills

• Open-source contributions to inference engines (e.g., vLLM), model repositories, or orchestration libraries; demonstrated ability to contribute meaningfully to a shared codebase.
• Experience with Python and ML‑adjacent libraries (PyTorch, TensorFlow, HuggingFace, FastAPI, or similar).
• Familiarity with on-device or edge AI constraints and optimization techniques.
• Experience with system-level profiling and performance optimization.

Hourly Pay Range: $45.00–$51.00 per hour. Actual compensation will be determined based on factors such as skills, qualifications, and experience.

2027 Internship Program Dates: May/June–August/September 2027. Final dates will be based on student schedules.

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.

At HP IQ, we offer a competitive and comprehensive benefits package, including:

• Health 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 )

HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work.

• Innovative Work
  Help shape the future of intelligent computing and workplace transformation.
• Autonomy and AgilityWork with the speed and focus of a startup, backed by HP’s scale.
• Meaningful ImpactBuild AI-powered solutions that help people and organisations thrive.
• Flexible Work EnvironmentFreedom and flexibility to do your best work.
• Forward-Thinking Culture
  We learn fast, stay future-focused, and imagine what comes next—together.

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).

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As set forth in HP IQ’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

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