Director / Sr Program Manager, AI Accelerator

Key Responsibilities

Program and Project Management

• SW Release Management: Own and program manage all aspects of complex Software (SW) Releases, ensuring on-time delivery, quality, and scope adherence.
• Execution and Tracking: Drive and track progress across engineering and cross-functional teams, identifying bottlenecks, mitigating risks, and proactively driving execution to meet program milestones.
• Process Implementation: Champion and enforce effective program management methodologies and best practices across the organization.
• Cross-Functional Leadership: Facilitate and drive alignment between engineering (SW, HW, Silicon), product management, sales, operations, and external partners.

Customer Engagement and Requirement Management

• Customer Advocacy: Act as the primary point of contact for technical program matters with key customers, translating their needs into actionable engineering tasks.
• Defect and Requirement Funnel: Manage the funneling of requirements and defects back to the engineering organization, ensuring clear prioritization and timely resolution.
• External Communication: Clearly communicate program status, risks, and dependencies to executive leadership, technical teams, and external stakeholders.

Safety Certification and Compliance

• Certification Drive: Lead the end-to-end program management for safety certification processes (e.g., ISO 26262, IEC 61508) for our products and associated tools, ensuring all necessary documentation and engineering rigor is met.

Requirements

Required Qualifications

• Experience: Minimum of 15+ years of progressive experience in a Program Management (PM) role, specifically focused on technical programs involving AI acceleration chips, embedded systems, software, and hardware.
• Education: Master's degree (MS) in Computer Science or a related technical field is required.
• Global Collaboration: Proven experience successfully working with and managing distributed teams and programs across multiple geographies and timezones.
• PM Tools Expertise: Deep expertise and proficiency with Program Management tools such as JIRA, GitHub Issues, and Quality Center (QC), including advanced reporting and workflow management.
• Domain Knowledge: Demonstrated ability to drive complex technical projects in the AI/ML and embedded processing domain.

Highly Desired Skills and Experience (Pluses)

• AI Compiler Knowledge: Good understanding and working knowledge of AI SW compilers (e.g., TVM, MLIR, LLVM, IREE).
• AI Frameworks and Kernels: Knowledge of AI kernel development and familiarity with popular deep learning frameworks like JAX, PyTorch, ONNX, and TensorFlow (TF).
• Professional Certification: Current Program Management (PM) certification (e.g., PMP, PgMP, CSM, SAFe) is a significant plus.