Lead program management for Edge AI and systems software initiatives, driving strategy, governance, risk, and execution across cross‑functional teams.
Responsibilities
Translate business and technology strategy into integrated program plans, roadmaps, milestones, and measurable outcomes.
Drive complex Edge AI and systems software programs from strategy and architecture through development, validation, and delivery.
Coordinate execution across architecture, software engineering, product management, quality, security, and business teams.
Work with architects and engineering leaders to align delivery plans with the target architecture and technical roadmap.
Establish clear deliverables, ownership, dependencies, readiness criteria, and success measures.
Requirements
Four‑year or graduate degree in Computer Science, Engineering, Information Systems, Business Management, or a related discipline, or equivalent experience.
Nice to have: Experience delivering AI or systems software for PCs, edge devices, embedded systems, or enterprise endpoints
Nice to have: Experience with AI inference frameworks, model runtimes, telemetry systems, performance engineering, or device‑management technologies
Nice to have: Experience coordinating programs with silicon providers, operating‑system vendors, cloud providers, or independent software vendors
Nice to have: Experience supporting architecture governance and alignment across multiple business units
A Data Discovery and Enrichment Expert II operating at the intersection of data, AI, and domain knowledge, taking ownership of complex data initiatives end-to-end.
Locations (2)
Bangalore, Karnataka, India
Chennai, Tamil Nadu, India
Responsibilities
Lead complex data discovery, enrichment, and curation initiatives with a high degree of autonomy
Apply data science techniques and AI/ML tools to improve the quality, coverage, and scalability of data assets
Design and implement intelligent workflows for source evaluation, entity resolution, and information extraction
Develop and maintain taxonomies, ontologies, and knowledge graphs that power downstream products
Evaluate and adopt emerging AI tooling relevant to data enrichment and research intelligence
Requirements
MS degree (or equivalent) in a quantitative, information, or research-related field
Nice to have: academic publishing
Senior Technical Program Manager – Edge AI Platform & Systems Software PMO
Lead strategy, planning, governance, risk management, and execution of complex Edge AI and systems software programs within the Commercial Systems Software Engineering organization.
Responsibilities
Translate business and technology strategy into integrated program plans, roadmaps, milestones, and measurable outcomes.
Drive complex Edge AI and systems software programs from strategy and architecture through development, validation, and delivery.
Coordinate execution across architecture, software engineering, product management, quality, security, and business teams.
Work with architects and engineering leaders to align delivery plans with the target architecture and technical roadmap.
Establish clear deliverables, ownership, dependencies, readiness criteria, and success measures.
Requirements
Four-year or graduate degree in Computer Science, Engineering, Information Systems, Business Management, or a related discipline, or equivalent experience.
Nice to have: PMP, PgMP, PMI-ACP, SAFe or comparable program-management certification
Nice to have: Experience delivering AI or systems software for PCs, edge devices, embedded systems, or enterprise endpoints
Nice to have: Experience with AI inference frameworks, model runtimes, telemetry systems, performance engineering, or device-management technologies
Nice to have: Experience coordinating programs with silicon providers, operating-system vendors, cloud providers, or independent software vendors