Stealth banking infrastructure startup | Software Engineer | Sunnyvale, CA (hybrid) | Full-time | https://jobs.lever.co/LunaFinancial/645e3342-a91a-44db-a3f9-...
We're a stealth fintech infrastructure startup that was founded by former Square executives, engineers and product managers from Stripe, Chime, Blend, and Yahoo. Our mission is to build differentiated banking products and services to support the embedded financial services, fintech ecosystems, and crypto economy. We are well capitalized having recently raised a large seed round of funding from Oren Zeev, Coatue, and Ribbit.
Our clients are looking for a robust and secure platform with modern, clean, and comprehensive API’s to build and manage their products. We’re looking for software engineers to help us build just that: a developer-centric, highly secure, scalable, multi-tenant banking platform that is highly compliant with regulatory requirements.
We're hiring backend engineers to help us build core banking infrastructure: APIs and Services that support a wide range of financial products. We believe that providing modern and clean APIs alone isn’t good enough. You’ll also help build resources that educate our customers on how to build their products using our APIs and simulate, test, and validate all of their use cases before graduating to deployment.
This is a great opportunity for an engineer who’s looking to build large scale systems from scratch in a “roll up your sleeves environment”.
Google | Software Engineer | Mountain View / Sunnyvale | Full time
We're looking for a software engineer to help work on the XLA Compiler for TPUs.
Things we do:
- Take machine learning models and make them run really fast, in really large systems.
- Participate in hardware co-design for future versions of the TPU. Members of our team frequently write proposals for new instructions and chip components.
- Assist internal and external customers on how to make their workloads run as fast as possible. When Deepmind built AlphaGo members from our team helped them get their models up and running on TPUs.
There is room on our team for anyone with an interest in traditional compilers, machine learning, high performance computing or hardware co-design. I joined in late 2020 and have found the work deeply interesting and deeply impactful.
Unfortunately I don't have any way around the traditional Google hiring processes. You'll have to go through: https://careers.google.com/jobs/results/93645599942812358-so...