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Senior AI Engineering Manager

Senior AI Engineering Manager

HumaneSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

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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.

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

The AI team is building cutting-edge Local Inference solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. Our goal is to enable low-latency, private, and cost-efficient AI inference across a wide range of connected devices, from wearables to IoT and smart assistants.

As the Senior AI Software Engineering Manager, you will design and optimize distributed AI systems that balance on-device inference with cloud-based processing. You'll integrate third-party AI models and frameworks, optimize machine learning pipelines for edge and cloud environments, and develop scalable, privacy-first AI solutions.

What You Might Do

  • Develop and optimize edge inference pipelines to run AI models efficiently on resource-constrained devices while integrating with cloud services.
  • Design and implement hybrid cloud-edge AI architectures that balance local inference with cloud scalability.
  • Integrate third-party machine learning APIs, while also training and optimizing open source models for real-time AI applications.
  • Build distributed systems and networked AI devices, ensuring seamless connectivity and interoperability between edge and cloud environments.
  • Evaluate on-device AI accelerators and emerging hardware solutions to maximize performance, security, and efficiency.
  • Drive new features from prototype to production, collaborating closely with AI researchers, infrastructure engineers, and designers.
  • Work on privacy-first AI architectures, ensuring data security and compliance in localized AI deployments.
  • Develop robust testing and validation pipelines for non-deterministic AI systems, including LLMs and real-time inference models.
  • Drive hiring, mentoring, and career development for a multi-talented AI team.
  • Foster a strong engineering culture focused on technical rigor, product impact, and fast iteration.

Essential Qualifications

  • 10+ years of hands-on software development experience, including recent expertise in distributed systems, networked devices, or embedded AI.
  • 3+ years of engineering management experience.
  • Strong background in machine learning model deployment, including LLMs, computer vision, or speech models.
  • Experience integrating AI models on edge devices, IoT platforms, or hybrid cloud-edge systems.
  • Ability to quickly adapt to new AI advancements and apply them to scalable real-world applications.
  • Fast-paced, iterative approach to AI development and deployment.
  • 5+ years of experience with Java or C++.
  • Preferred Skills

  • Expertise in on-device ML optimization techniques (e.g., quantization, pruning, distillation).
  • Strong understanding of low-latency computing, edge inference, and privacy-preserving AI.
  • Knowledge of cloud-edge hybrid architectures, including distributed AI model serving and orchestration.
  • Experience developing or working with open-source ML frameworks.
  • Experience building intelligent user experiences powered by LLMs, conversational agents, or multi-modal interactions.
  • Salary range : $189,750 - $280,000

    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.

    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)
  • 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 or your EEO rights as an applicant under the law, please click here : Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Computers and Electronics Manufacturing

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