Battery Machine Learning Jobs in Texas (NOW HIRING)

Description -

The Technical Software Product Manager will lead the product strategy, design, and execution for enterprise, commercial and consumer end user application focused on PC power optimization, battery health, and performance tuning.

You will own the definition and integration of on-device AI agents that analyze user behavior, system telemetry, and application workloads in real time to dynamically balance device longevity with peak computing performance.

Key Responsibilities:

Application services strategy, UX definition

• Define the product vision and multi-year roadmap for the desktop optimization suite.

• Translate complex silicon telemetry into intuitive, actionable user interface dashboards.

• Design seamless user workflows for switching between automated AI tuning and manual control.

• Establish application success metrics for active user engagement and churn reduction.

AI Agent & Feature Execution

• Write comprehensive Product Requirement Documents (PRDs) for local machine learning models.

• Specify reinforcement learning rewards that maximize hardware efficiency without lagging.

• Define the triggers for AI agents to proactively recommend background app hibernation.

• Ensure local on-device inference executes with zero audible fan noise or thermal throttling.

Performance & Telemetry Validation

• Prioritize engineering backlogs for real-time application-sensing telemetry pipelines.

• Collaborate with QA to validate battery-saving metrics across diverse hardware form factors.

• Monitor application footprint to guarantee the software itself uses minimal CPU, GPU, NPU and DRAM.

• Manage user data privacy guardrails for all local profiling and behavioral analytics.

Required Experience:

• Education: Bachelor's degree in computer science, Computer Engineering, or equivalent.

• Product Experience: Minimum 5 years shipping consumer or enterprise desktop software.

• Domain Expertise: Proven track record with Windows system utilities or performance apps.

• AI Background: Practical experience deploying on-device ML models or small language models (SLMs).

• Preferred Systems Knowledge: Solid understanding of OS thread scheduling, background daemons, and RAM management.

Preferred Qualifications:

• Experience designing software that interacts directly with OEM firmware or driver APIs.

• Familiarity with cross-platform desktop frameworks or native Windows desktop development.

• Direct experience leveraging DirectML, ONNX Runtime, or Windows Copilot Runtime frameworks.

• Background in building system tools for PC gaming performance or creator workflows.

The pay range for this role is$147,050to$230,850USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, 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)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

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Equal Opportunity Employer (EEO) -

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.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"