Software Engineering Program Manager

Job Details

The Datacenter Software and Tools Execution Team is looking for a driven, results oriented software engineering program manager to lead planning and execution of GPU AI software stack (libraries, frameworks, applications) components. This role includes planning software releases across a portfolio of software component teams and stakeholders, contributing technical expertise and guidance in scoping/requirements creation for software releases, managing software release execution, proactive risk management, and leading program reviews with executives.

The software engineering program manager will work closely with cross‑functional teams to ensure projects are delivered on time, within scope, and aligned with organizational objectives.

• Oversee software release management, ensuring timely and high-quality releases
• Drive project execution, coordinating with development, product management, and release teams
• Identify, assess, and manage project risks and issues, implementing mitigation strategies
• Facilitate effective communication across teams
• Ensure adherence to software development lifecycle (SDLC) best practices, including security, privacy, and licensing compliance
• Develop and maintain detailed project plans, schedules
• Manage trade‑offs between competing project priorities
• Manage teams to the hit program level milestones and prioritizes deliverables to meet strategic needs
• Drive requirements scoping, analysis, priorities and planning across software teams contributing to program milestones

• Attention to detail and commitment to quality
• Communicate complex information in a clear and concise manner
• Excellent organizational, leadership, and interpersonal skills

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
• 7+ years' experience in:
  • Managing software development projects.
  • AI frameworks such as Tensor Flow, PyTorch, or similar.
  • Leading programs with emphasis on designing, developing, and optimizing machine learning or deep learning models
• 5 years of experience in deploying and scaling AI solutions using industry‑standard libraries and tool

• Experience with requirements management tools such as JIRA
• Proficiency in building, maintaining, and automating reports using Microsoft Power BI or Grafana
• In‑depth knowledge of software development lifecycle practices, including security, privacy, licensing, and agile development methodologies
• Understanding of AI application workflows, including data preprocessing, model training, and deployment
• Delivering complex software projects on time and within budget

Experienced Hire

Shift 1 (United States of America)

US, Oregon, Hillsboro

US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara

The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments.

The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health,…