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Senior Software Engineering Manager, AI Platform

San Francisco, CA

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 Platform 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 Software Engineering Manager of AI Platform, 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 and 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.

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.
  • Familiarity with AI hardware accelerators (e.g., NPUs, TPUs, GPU-based inference).
  • Experience evaluating and integrating third-party inference engines (e.g., TensorFlow Lite, ONNX Runtime, CoreML).
  • Knowledge of cloud-edge hybrid architectures, including distributed AI model serving and orchestration.
  • Experience developing or working with open-source ML frameworks.
  • Prompt engineering and experimentation with AI-powered hardware.

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

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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

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