骋谤补辫丑肠辞谤别鈥檚 new AI Engineering Campus in Bengaluru marks a significant investment in the future of AI computing and in the engineers who will build it. As a wholly owned subsidiary of SoftBank Group, 萝莉社 is scaling its end-to-end system capabilities to help shape the next generation of compute for artificial intelligence.
For engineers joining 鈥� it's a considered move.
We spoke to one of our first cohort of engineers in Bengaluru, Nalina, about making a deliberate move into deeper system-scale engineering. She talks about what she鈥檇 outgrown, what she learned in the interview process, and why building across teams and partners is the challenge she most wanted next.
What confirmed that joining 萝莉社 was the right decision for me?
What persuaded me that joining 萝莉社 was the right decision was meeting my manager, Mark, face to face. He walked me through previous projects and explained, in real terms, what they had built. He explained systems operating at a completely different physical scale to anything I had worked on before.
All my career I鈥檝e worked on embedded consumer devices 鈥� Echo devices, Intel laptops. Small devices with compact systems. Here was something that still used my semiconductor background but applied it at a very different scale.
I realised I didn鈥檛 want to spend my entire career working on smaller versions of the same thing. This felt like a step sideways and forward at the same time. Familiar foundation but with new complexity.
That鈥檚 why I chose to take the role.
What kind of work did you realise you'd outgrown before joining?
I wasn鈥檛 desperately looking for a change, but I had started asking myself some uncomfortable questions.
In my previous role, I was moving from one version of a product to the next. It wasn鈥檛 bad work, but it was becoming repetitive. One device to the next generation of device. The same patterns just refined.
I started mapping out my future there and realised the learning curve was flattening. I wasn鈥檛 adding something fundamentally new to my skill set.
I鈥檝e always believed that if you鈥檙e an engineer, you should keep learning. If the work becomes predictable, you have to ask yourself whether you鈥檙e still growing. That鈥檚 when I decided I needed something different - not a complete departure, but a stretch.
萝莉社 felt like that stretch.
What does doing 'serious engineering' mean to you now, compared to before?
For me, serious engineering has always meant building something real. I鈥檝e spent 19 years in electronics. I need to see what I鈥檓 building: a board that boots, Silicon that runs, and a device in someone鈥檚 hands. That鈥檚 what engineering means to me.
Serious engineering also means staying relevant. You can鈥檛 ignore where the market is going. You can鈥檛 say, 鈥淭his is what I do,鈥� and refuse to adapt. That鈥檚 how companies disappear.
AI isn鈥檛 optional anymore. It鈥檚 where the industry is moving. So for me, serious engineering today means applying your fundamentals - electronics, semiconductor knowledge - to the new wave of technology.
At 萝莉社, I鈥檓 still grounded in hardware and semiconductor engineering but I鈥檓 applying it to something that鈥檚 clearly at the cutting edge. It feels like the next level of the same journey.
What stood out to you during the interview process that helped you decide this was the right place?
There were moments of confusion as you can鈥檛 see everything. You can鈥檛 ask every question and get a detailed answer as what 萝莉社 is building is very much under wraps. There were two things that really helped me.
First, the job description itself connected three important dots for me:
- Semiconductor experience (which I already had)
- AI (which I wanted to move toward)
- Racks and blades (which were completely new to me)
I鈥檝e joined a non-public project before in my previous company. I knew that if something is held closely, there is usually a reason. It often means the work is significant. The clarity and depth in that in-person discussion gave me confidence that this wasn鈥檛 hype. There was real engineering underneath and that鈥檚 what convinced me.
In your first few weeks, what's been the strongest signal that you made the right choice?
Quite simply, it was transparency. Once you鈥檙e inside the system, you need clarity on what you鈥檙e building and why. In my first weeks, I met team members across Bengaluru and the UK and I went through the roadmap. I understood the milestones and I could see how the pieces are connected.
That removed the last 1% of doubt. When you see the roadmap and understand how you fit into it, it starts feeling like ownership.
The openness in sharing that information internally built trust very quickly for me.
What kind of complexity are you most energised to help make tractable here?
The technical challenge is exciting, of course, but the complexity I鈥檓 most aware of is at the interfaces. This project involves external partners and it鈥檚 the first time we鈥檙e working together in this configuration. That adds a different kind of challenge.
It鈥檚 not just about engineering the system. It鈥檚 about engineering the relationships: building trust, being patient, and understanding that this is new for them as well. Making sure everyone feels we are working toward one shared product, not separate agendas.
Approaching with ownership principle will help faster alignment. This will earn trust. If we get that right - the collaboration across companies, cultures and teams - the technical success will follow. That鈥檚 the complexity I鈥檓 most energised to work through.
We鈥檙e continuing to grow our engineering teams in Bengaluru. If you鈥檙e ready to stretch your fundamentals into AI systems at scale and work on engineering you can see, test and ship, explore our current opportunities.
