Lead execution of Product Engineering AI and automation initiatives across photonics products. Build and deploy reusable AI/automation tools, transform engineering data into AI-ready systems, and drive cross-functional adoption to improve development, qualification, manufacturing, and reliability processes.
Product Engineering develops and establishes many of the processes used throughout product development, qualification, and manufacturing. As product complexity, engineering data, and production volumes continue to grow, these processes must evolve into connected, traceable, and AI-ready systems.
The Photonic Product Engineer for AI & Automation is responsible for executing Product Engineering's AI and automation initiatives and driving adoption across the organization. The role works closely with Development, Product Engineering, Test, Reliability, Quality, Operations, Manufacturing, and IT teams to establish common methods, reusable tools, and scalable practices that improve engineering effectiveness and support future growth.
Success in this role is measured not only by technical solutions delivered, but by the extent to which AI, automation, and data-driven methods become embedded within everyday engineering practice.
The position is based in Sunnyvale, Ca.
- Execute Product Engineering AI and automation initiatives across PIC, ASIC, TROSA, and Plug.
- Drive adoption of AI, ML, automation, and data-driven engineering practices within Prod Eng and partner organizations.
- Establish common methods, frameworks, and knowledge systems that enable scalable use of AI across the product lifecycle.
- Transform engineering data, workflows, and traceability into AI-ready systems spanning development, qualification, manufacturing, reliability, and field performance.
- Build, validate, and deploy reusable tools, agents, analytics, and automation solutions that improve engineering effectiveness.
- Partner with Development, Test, Reliability, Quality, Manufacturing, Operations, and IT teams to align data, tools, and practices and deliver measurable business impact.
- PhD in Electrical Engineering, Computer Science, Data Science, Physics, Photonics, Applied Mathematics, or related field.
- Experience applying AI, machine learning, analytics, software, or automation to engineering, product development, test, or manufacturing challenges.
- Strong programming, data analysis, and tool development skills using Python or similar technologies.
- Experience with AI technologies, engineering data systems, knowledge management, traceability, or decision-support tools.
- Experience with optical transceiver products, photonics, DSP, semiconductor technologies, Product Engineering processes, or manufacturing and test systems is highly desirable.
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Designs, develops, deploys, and supports large-scale AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, and model evaluation. Defines enterprise AI architecture, optimizes model performance, cost, latency, and throughput, establishes AI safety and governance standards, leads multi-year platform initiatives, and mentors senior technical leaders across engineering and research.
Top Skills:
Agentic AiAi GovernanceAi ObservabilityAWSAws UltraclustersAzureC#C++CudaFoundation ModelsGoGCPHugging FaceJavaLarge Language ModelsModel EvaluationMulti-Agent WorkflowsPythonPyTorchScalaSimilarity SearchVectordbs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads executive and enterprise storytelling for senior Optum leaders, including the CEO. Develops speeches, presentations, articles, thought leadership, employee communications, social content, video scripts, and other high-visibility materials. Translates complex healthcare and business topics into compelling narratives, maintains consistent executive voice and editorial standards, manages multiple priorities, responsibly uses AI, and leads two communications professionals.
Top Skills:
Artificial IntelligenceSocial Media
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provides telephonic after-hours care management for inpatient discharge planning, safe transfers, emergency department diversion, referrals, authorizations, and utilization management. Coordinates with physicians, hospitals, facilities, patients, families, and care teams while documenting interventions, managing caseloads, meeting productivity standards, identifying high-risk patients, and supporting weekend and holiday coverage.
Top Skills:
HipaaPc Applications
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
