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 meet program level milestones and prioritize 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

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

• 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 tools

• 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

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)
Primary

Location:

US, Oregon, Hillsboro
Additional Locations: US, Arizona, Phoenix; US, California, Folsom; US, California, Santa Clara

Business group:
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.

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, retirement, and vacation. Find out more about benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $- USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees,…