Lead a design team focused on silicon photonics for AI data centers and automotive applications by managing design processes and product timelines.
Aeva is building the next generation of products for sensing, perception for autonomous vehicles and AI data centers. With its unique ability to measure instantaneous velocity for each pixel, long-range performance at high resolutions, while being free from LiDAR or sunlight interference, Aeva’s 4D LiDAR is built from the ground up at silicon photonics scale for mass-market applications.
Role Overview:
- We are looking for an expert in photonics engineering to join our core engineering team!
- Lead design team to deliver silicon photonics across multiple verticals including AI data centers, Automotive, Industrial automation
- Work closely with architecture, fab and cross functional design teams to deliver products on tight timelines
- Own the scoping of various tapeouts to manage balance between development milestones and product timelines/ intercepts
- Own DFMEA of silicon photonics for various product lines
- Understand the fab process to take into account design-process interactions
- Own the characterization of silicon photonics tapeouts with clear test and reliability plans - assist with execution as needed
- Work with test team to define and develop characterization for new devices
What you have
- 5+ years demonstrated experience with leading design teams to deliver product
- Strong background and experience designing photonics devices into foundries
- Experience with delivering complex photonics circuits taking into account system constraints and interactions
- Experience with full successful design, tape-out, and test cycles
- Experience with back reflection and stray light management strategies
- Experience in optical simulation software to evaluate optical designs
- Experience in qualifying high volume photonics components
Aeva is an Equal Opportunity Employer including protected Veterans and individuals with disabilities.
Aeva, Inc. Mountain View, California, USA Office
555 Ellis St, Mountain View, CA, United States
Similar Jobs
Fintech • HR Tech
The Partner Success Manager will focus on expanding Gusto's presence in the accounting market by managing strategic partnerships, leading onboarding, delivering training, and advising firms on leveraging GustoPro for growth.
Top Skills:
SalesforceTableau
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, train, evaluate, and deploy machine learning models for core Snapchat products. Perform data analysis, model training, and production deployment. Collaborate with cross-functional partners to implement ML-driven features, use AI tools and scalable engineering workflows, and maintain high standards for code correctness, security, and production readiness.
Top Skills:
Caffe2PyTorchScikit-LearnSpark MlTensorFlow
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Manage and grow a book of small and medium business accounts on Snapchat by identifying opportunities, delivering strategic sales presentations, educating clients on products, analyzing campaign performance, and collaborating cross-functionally to drive revenue and long-term client relationships.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


