--- title: 'Software Engineering Intern, AML Platform (Summer 2027) at HP IQ' canonical: 'https://feeny.ai/job/software-engineering-intern-aml-platform-summer-2027-hp-iq-san-francisco-xhghtg7z746m' type: 'job' last_seen: '2026-09-10' --- # Software Engineering Intern, AML Platform (Summer 2027) at HP IQ - **Company:** HP IQ - **Location:** San Francisco, CA - **Posted:** 2026-08-31 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.greenhouse.io/hpiq/jobs/6114781004 ## Job description ## 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 - 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](https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c07065756)) Why HP IQ? 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 Agility Work with the speed and focus of a startup, backed by HP’s scale. - Meaningful Impact Build AI-powered solutions that help people and organisations thrive. - Flexible Work Environment Freedom 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). 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. If you’d like more information about HP’s [EEO Policy](https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225) or your EEO rights as an applicant under the law, please click here: [Equal Employment Opportunity is the Law](http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) [Equal Employment Opportunity is the Law – Supplement](https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) ## About HP IQ ## Company Overview - **One-liner**: HP IQ is HP’s AI innovation lab building an intelligent ecosystem of devices and services to transform the future of work. - **Entity Type**: Private (innovation lab within HP Inc., a public company — HP Inc. trades as HPQ on the NYSE) - **Headquarters**: Palo Alto, California, USA (with a major office in San Francisco, CA) - **Founded**: 2024 (launched as HP IQ, formerly the team from Humane after HP’s acquisition of key assets) - **Founders**: Bethany Bongiorno (VP of AI and Software) and Sameer Qureshi (Technical Advisor) are key leaders; the lab operates as an internal HP unit ## Core Business - **Primary industry/industries**: Artificial Intelligence, Hardware, Software, Enterprise Productivity - **Target customers**: Enterprise and business professionals using HP devices; the platform is designed for HP’s broader customer base (B2B, with consumer implications) - **Mission or purpose statement**: “Reimagining the future of work by empowering the intelligence to unlock human potential” — harnessing technology to amplify human ingenuity and transform how the world works. ## Products & Services - **HP IQ Platform**: An AI orchestrator that sits at the center of a user’s data and devices, enabling on-device AI processing, meeting summarization, local file analysis, and frictionless device connectivity across HP PCs, printers, and Poly devices. It includes the HP IQ Visor interface, an intelligent software experience layer. - **HP NearSense™**: A feature that reads the room to create frictionless connections across select HP PCs, printers, and Poly devices. - **On-Device AI Engine**: Processes sensitive files locally on the device (even offline) for fast results, privacy, and lower AI costs. ## Market Standing - **Valuation/Market Cap**: Not applicable (internal HP lab; HP Inc.’s market cap is approximately $30 billion as of mid-2025) - **Key Metric**: HP IQ is HP’s flagship AI initiative; HP Inc. reported $53 billion in annual revenue for FY2024 - **Notable Investors/Partners**: HP Inc. (parent company); the lab builds on technology from Humane (the AI pin startup) - **Growth Signals**: Rapid hiring of 107+ employees (as of mid-2025); active recruitment for senior engineering, design, and product roles; integration of AI across HP’s entire product portfolio (PCs, printers, Poly) ## Competitive Advantages - **Deep integration with HP’s hardware ecosystem**: HP IQ is embedded into HP’s existing product lines (EliteBook X G2, printers, Poly devices), giving it a massive distribution advantage. - **On-device AI with privacy focus**: Processes data locally, even offline, differentiating from cloud-dependent AI assistants. - **HP’s global reach**: Backed by HP Inc.’s enterprise relationships, supply chain, and R&D budget. - **Talent from Humane**: Inherited a team with deep experience in AI hardware and software from the well-funded startup. ## Strategic Focus - Building an “intelligent ecosystem” that connects HP’s entire product portfolio (PCs, printers, Poly conferencing) through a unified AI orchestrator. - Prioritizing on-device AI for privacy, security, and low latency. - Expanding the HP IQ Visor interface as a universal experience layer across all HP devices. - Growing the team aggressively (107+ employees as of mid-2025) with a focus on senior AI, software, hardware, and design talent. ## Why Work Here - **Culture**: Described as HP’s innovation lab with a startup-like mission inside a Fortune 100 company — “reimagining the future of work” with a human-centric focus. - **Work policy**: In-office for most roles (Palo Alto HQ and San Francisco office); on-site workspace model. - **Notable perks**: Opportunity to work on cutting-edge AI and hardware products with the resources of HP; roles span AI, software, hardware, design, and product management. - **Engineering culture**: Emphasis on senior-level talent; roles include Lead AI Software Engineer, Senior Machine Learning Engineer, Senior System Software Engineer, and Senior Antenna Engineer. ## Market Standing - **Valuation/Market Cap**: Not disclosed (internal lab; HP Inc. market cap ~$30B) - **Key Metric**: 107 total employees (as of mid-2025); 27+ open roles - **Notable Investors/Partners**: HP Inc. (parent); technology lineage from Humane (AI hardware startup) - **Growth Signals**: Rapid team scaling from a small core to 107+ employees; integration into HP’s flagship EliteBook X G2 line; public launch of the HP IQ platform in 2025 ## Competitive Advantages - **Deep integration with HP’s hardware ecosystem**: HP IQ is embedded into HP’s existing product lines (PCs, printers, Poly), giving it a massive distribution advantage over standalone AI assistants. - **On-device AI with privacy**: Processes data locally (even offline), differentiating from cloud-dependent competitors like Microsoft Copilot or Google Gemini. - **HP’s global enterprise reach**: Backed by HP’s sales channels, IT relationships, and brand trust in the enterprise market. - **Talent from Humane**: Inherited a team with deep experience in AI hardware and software from a well-funded startup. ## Strategic Focus - Building an “intelligent ecosystem” that connects HP’s entire product portfolio through a unified AI orchestrator. - Scaling the team rapidly (107+ employees, 27+ open roles) with a focus on senior AI, software, hardware, and design talent. - Launching HP IQ on HP’s flagship EliteBook X G2 Next Gen AI PCs, with plans to expand across the product line. - Prioritizing privacy and security as core differentiators in the enterprise AI market. ## Why Work Here - **Culture**: Described as HP’s innovation lab with a startup-like mission — “reimagining the future of work” with a human-centric focus. The team is growing fast and values innovation, collaboration, and impact. - **Work policy**: In-office for most roles (Palo Alto HQ and San Francisco office); on-site workspace model. - **Notable perks**: Opportunity to work on cutting-edge AI and hardware products with the resources of a Fortune 100 company; roles span AI, software, hardware, design, and product management; senior-level focus with high autonomy. - **Engineering culture**: Emphasis on senior talent; open roles include Lead AI Software Engineer, Senior Machine Learning Engineer, Senior System Software Engineer, and Senior Antenna Engineer. ## Sources 1. [hp-iq.com](https://www.hp-iq.com/) 2. [hp-iq.com/join-us](https://www.hp-iq.com/join-us) 3. [builtin.com](https://builtin.com/company/hp-iq) 4. [theorg.com](https://theorg.com/org/hp-iq) 5. 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