DFINITY | San Francisco, Palo Alto, Zurich | Onsite (remote supported in some locations)| https://www.dfinity.org
DFINITY is reimagining the Internet as a public network that hosts secure software and services. The Internet Computer is a new technology stack (which can replace the need for legacy cloud services, CDNs, databases, web services and more) that is unhackable, fast, scales to billions of users around the world, and supports a new kind of autonomous software that promises to reverse Big Tech’s monopolization of the internet. DFINITY was founded in 2016 and has raised over $150mm from top-tier institutions including Polychain Capital and Andreessen Horowitz.
If you’re interested in joining one of the most ambitious projects in tech today, you can find our openings in US and Zurich here: https://grnh.se/54c9b2722us
Some select roles:
Senior Software Engineer, Network Nervous System - https://grnh.se/89cb7eab2us
Senior Software Engineer, Networking - https://grnh.se/45c3f7442us
Senior Software Engineer, Distributed Systems - https://grnh.se/869cc1572us
Senior Software Engineer, Systems - https://grnh.se/9fd2721c2us
Senior Software and Protocol Verification Engineer - https://grnh.se/5143be882us
Senior Software Engineer, Cryptography - https://grnh.se/dcd0f6fa2us
Researcher, Cryptographic Protocol Design - https://grnh.se/db51e77a2us
Senior Software Engineer, Infrastructure and Tools - https://grnh.se/8c5a22812us
Senior Product Manager, Web Properties - https://grnh.se/4b9813f82us
Vizion | Software Engineer (Full stack & API) | Palo Alto, CA & REMOTE (US), Full-time | https://www.vizionapi.com
Vizion is building APIs and software to power digital transformation happening inside the supply chain & logistics industry. We've got some traction, we're growing, and we're now looking to build out our early engineering team.
If you enjoy working with large amounts of unstructured data, API design, and building great user experiences we'd love to chat.
- Stack: Typescript, Node.js, React, AWS, Python, serverless architecture
Feel free to email me at tyler [at] vizionapi.com for more info.
Hebbia.AI | ML or Fullstack Engineer | Onsite | Full-Time | Palo Alto, CA or Santa Barbra, CA
Hebbia is building superpowered productivity tools with state-of-the-art NLP. http://hebbia.ai/
Our first product is a reinvented Command-F that saves intelligence workers 80% of their time. It leverages custom transformer models that allow users to quickly and accurately query documents for only the information they need.
We are well capitalized, and are looking to scale our team of Stanford graduate students and engineers!
Reach out via george (at) hebbia.ai
Instrumental | Onsite (remote during SARS-CoV-2) | Palo Alto, CA, USA; Chicago, IL, USA; New York City, NY, USA; San Diego, CA, USA; Longhua, Shenzhen, Guangdong, China
Can you imagine writing software with no debugger or logging, and you only get to run it every few weeks? That's what building hardware is like for many product companies. At Instrumental, we're building a manufacturing optimization system that collects data no one else can, and uses machine learning and visualizations to automatically identify defects and help product companies understand their assembly processes.
With ~35 people we are a small but mighty team with a collaborative, friendly culture. We value an inclusive environment and actively work to promote diversity in our team.
We also value good tools. For example, I manage the web app team - our deploys involve running a single command and take just a few minutes, so we deploy frequently and with confidence. "Watch mode" compilation usually takes under a second. We have "branch environments" to test any pull request in a production-like environment with real data. And we have robust tests.
- Senior Backend Engineer, Platform: https://jobs.lever.co/instrumental/4c155db0-8506-4096-ae7d-c...
- Senior Backend Engineer, Web App: https://jobs.lever.co/instrumental/317d0eb2-e2db-498a-b79c-6...
- Senior Full Stack Engineer, Factory Software: https://jobs.lever.co/instrumental/9d9cee6e-a0b2-4484-8171-7...
- and others at https://instrumental.com/careers
nod.ai - https://nod.ai - Palo Alto CA - Full Time Remote
Looking for candidates with solid CS fundamentals to join our team. You will need to be very proficient with C++ and be willing to work on AI Framework Internals (PyTorch, Tensorflow), A.I Compilers (LLVM/MLIR) and/or very large scale HPC systems. You need to be able to work remotely indefinitely given the current state of affairs we will not return to the office until everyone feels safe doing so.
You: Self starter and mostly importantly a finisher - pick something up and deliver without supervision. You will be a manager with a team size of one - you. You will need to pick the next problem on the way to achieve our goals and solve it. You will need to hold a lot of complexity in your head and have solid CS fundamentals. For what we do, Google may not have all the answers to your questions, github may not have any such sample code and Stackoverflow may have a vaguely related question with no replies, but you will be responsible for solving the problem. Everyone of us is a hands on engineer so you will thrive doing more of what you love.
Check us out at https://nod.ai and drop us an email at firstname.lastname@example.org
Confident Cannabis (YC15) | Lead Engineer | Palo Alto / SF | Remote (for the foreseeable future, likely more), Full-Time | https://www.confidentcannabis.com
We’re a Series A funded YC backed company shaping the cannabis industry to be efficient, honest, and reliable by creating the software infrastructure necessary to both test and trade within it.
We're looking for an experienced, excited (and exciting!) backend (or backend/frontend) engineer to help us build an amazing team while creating awesome software for an immensely underserved market on the cusp of explosion!
We write Typescript / React frontends, Python / Django backends, and anything else we can find that allows us to build and iterate quickly and safely.
I'm Jared, VP of Engineering, email me to apply: email@example.com