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Troy Tamas

Building chips faster 🚀 @ Stealth

Troy Tamas is a seasoned professional with 15+ years of experience in building design automation tools and infrastructure for hardware companies, specializing in hard drive motors and advanced silicon photonic circuits. He is passionate about user-centric design, exploring innovative technologies, and finding practical applications for them. Troy has a strong background in designing scientific and engineering software applications, ranging from simulations to user interface experiences.

Throughout his career, Troy has played key roles in bringing pioneering technologies to fruition at hardware startups, leading to successful acquisitions by major global corporations. He has contributed significantly to the growth and development of companies like Alphana Technology acquired by Samsung Electro-Mechanics in 2012, Aurrion, Inc. acquired by Juniper Networks in 2016, and currently at Rockley Photonics, which went public in 2021.

Having studied Mechanical Engineering at the Massachusetts Institute of Technology, Troy has held various prominent positions in organizations like Rockley Photonics Inc., where he served as the Director of Design Automation and Enablement, Principal Engineer in Design Automation, and Senior Photonics Design Automation Engineer. Additionally, he has held roles such as Hardware Engineer at Juniper Networks, PDK Development Engineer at Aurrion, and Engineer at Samsung Electro-Mechanics Japan Advanced Technology.

Troy Tamas has also been actively involved as a Team Mentor at MIT Toy Lab, Visiting Researcher at IHI Corporation, Intern at Blackbird Architects, Summer Tutor at MATCH School, and Account Assistant at Christie Communications.

Highlights

Jul 18 · linkedin

gdsfactory workshop at MIT tomorrow, Friday at 2 PM PDT / 5 PM ET (zoom link included below) https://lnkd.in/gUiYFYb9

since this one's close to my heart, i decided to make a comemorative DALL-E image :)

go beavers!

Apr 12 · linkedin

Schematic Driven Layout is a version of an intent-driven workflow-- our goal is to realize physical circuits from the designer's intent, represented here by a schematic. I've been interested for awhile in intent-driven design in the broader sense, and exploring how far we can shorten the path from initial concept to functional chips and devices.

Then, about a year ago, ChatGPT came out, and I think it reset our expectations about what a human-computer interaction could look like in the not-too-distant future. Around that time, I shared a fun demo of using ChatGPT to create a simple circuit using #gdsfactory. It was a fun and fairly successful demo, but I would argue that it still required near-expert knowledge and persistence to guide it to a right answer through roughly a dozen prompts-- not that useful.

A year later, I'd like to share a new demo, or rather a collection of them. Using gdsfactory and the open source Cornerstone PDK, I can generate a variety of different circuits, reliably. Once they are created, the circuits are still editable by the designer, and they are represented by both a schematic and a corresponding layout. A great way to get your first draft done in a few seconds, without any knowledge of the particular tool-- an extremely short path from the designer's intent to implementation, with virtually no learning curve.

I think this is a pretty neat milestone towards a more seamless design flow, but just the tip of the iceberg of what we're working on. If this kind of thing interests you or your organization, let's talk.

Related Questions

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Troy Tamas
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