Senior Principal, HW Design Engineering; AI/ML Architect
Listed on 2026-09-09
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Engineering
AI Engineer (Applied/Software), AI Business & Operations, Hardware Engineer, Systems Engineer
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Senior Principal, HW Design Engineering (AI/ ML Architect )Date: Aug 15, 2026
Location: San Jose, CA, US
SummaryCelestica is accelerating the adoption of Artificial Intelligence and intelligent automation across its Hardware Engineering organization to improve engineering productivity, reduce manual effort, accelerate development cycles, and improve design quality and first-time-right execution.
We are seeking a senior AI Architect – Hardware Engineering to lead this transformation.
The AI Architect will define and drive the AI strategy for Hardware Engineering, identifying where AI can create meaningful engineering value and translating those opportunities into scalable solutions that can be deployed across the organization.
This is fundamentally a Hardware Engineering role. The successful candidate will bring deep experience in hardware product development and a strong understanding of engineering workflows, tools, processes, and challenges. The role is not a software or AI developer; rather, the successful candidate must understand AI technologies sufficiently to identify opportunities, define requirements, establish technical direction, and work effectively with internal AI/software resources and external technology partners to deliver solutions for Hardware Engineering.
This role will operate at the intersection of hardware engineering, AI technology, engineering tools, automation, and organizational transformation. The AI Architect will work closely with R&D engineering teams to identify high-value opportunities; partner with internal AI/software resources to develop solutions; evaluate external AI technologies and vendors; and establish an integrated roadmap for AI adoption across Hardware Engineering.
The successful candidate will also serve as the primary technical and strategic voice for Hardware Engineering AI initiatives, communicating vision, priorities, progress, business impact, risks, and resource requirements to engineering leadership and senior executives.
Key ResponsibilitiesDefine and maintain the AI and intelligent automation strategy and roadmap for Hardware Engineering, grounded in a deep understanding of hardware development processes and engineering needs.
Partner with electrical, mechanical, thermal, power, systems, simulation, reliability, compliance, and test/validation teams to identify and prioritize high-value AI opportunities.
Drive AI opportunities from idea → prototype → pilot → production deployment → scaled adoption, working with Hardware Engineering teams, internal AI/software resources, and external partners.
Translate hardware engineering problems, workflows, and requirements into clearly defined AI and automation solutions.
Provide technical direction for AI-enabled engineering applications, copilots, agents, automation, and reusable capabilities without necessarily serving as the primary software developer.
Evaluate external AI platforms and engineering tools based on their ability to solve real Hardware Engineering problems, including build-versus-buy-versus-partner recommendations.
Partner with IT, Security, Legal, and Engineering stakeholders to ensure appropriate AI governance, data security, intellectual-property protection, and engineering validation.
Establish measurable KPIs for AI initiatives, including engineering hours saved, cycle-time reduction, quality improvement, first-time-right performance, adoption, and return on investment.
Serve as the central AI technology leader for Hardware Engineering, communicating vision, roadmap, progress, challenges, investment needs, and business impact to engineering leadership and senior executives.
Drive adoption and reuse of successful AI capabilities across global Hardware Engineering teams.
Hardware Engineering AI strategy and roadmap
Prioritized AI use-case and investment portfolio
AI-enabled Hardware Engineering workflow strategy
External AI technology and vendor strategy
AI solution deployment and governance framework
AI adoption and KPI tracking
Executive-level AI strategy, status, and business-impact reporting
Extensive Hardware Engineering experience, with a strong…
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