Ask HN: Who is hiring? (August 2023)

Stanford Research Computing (https://srcc.stanford.edu) is a collaboration between University IT and the Vice Provost and Dean of Research. We operate HPC environments for researchers, we do one-time consultations on projects (from software and pipelines, to data management, to physical building design and fit-out), and we provide contract support for individual Labs, Departments, and Schools.

We have two open positions:

• Stanford CryoEM Center (cEMc) Computational Resources and Data Management Specialist: Within the School of Medicine, this is a new Center, providing cryoEM equipment and services to researchers. cEMc is looking for someone who ideally has both cryoEM and Linux experience, who can advise researchers on their workflows and pipelines. You'll be a bridge between the researchers and us, helping to design workflows and pipelines that automate things as much as possible, within the limits of a shared HPC environment.

• Data Center Engineer: You're part of the SRCC, but based full-time at our primary research data center in Menlo Park (on the SLAC campus). This position includes everything from racking and cabling to maintaining and troubleshooting power distribution (415v Starline bus), UPS (spinning-mass), generators, VFDs, air handlers, chillers, PLCs, and the like. All four positions are hybrid, except the data center engineer is fully onsite. If you don't already live in the Bay Area, I believe we provide a relocation incentive. Depending on where you live, we provide free transit passes. Unfortunately, if you don't commute, you will have to pay for parking for the days you're on-site. Work benefits are all publicly documented at https://cardinalatwork.stanford.edu/benefits-rewards. We always get two weeks off around Christmas, through you'll have to spend one or two days on-call.

Here are the links to apply:

• cEMc position: http://m.rfer.us/STANFORDPw3L8i

• Data Center Engineer: http://phxc1b.rfer.us/STANFORDKzYMfY

If you have questions, feel free to reply here or email me (the info is in my profile).

Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: computer vision and image processing, space situational awareness (monitoring the locations, health and status of on-orbit satellites), metamaterials design, image simulation, high power microwave systems, modeling and simulation, machine learning, physics informed neural networks (PINN), human body thermoregulation, laser systems modeling, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.

Experience: We typically look for Bachelors degrees in computer science, physics, engineering, math, or a related field, and also hire Masters and PhDs (roughly 30% of our staff have PhDs.)

Technologies: Mostly C++20 with coroutines and generators, Qt 6, CMake, Boost, Jenkins, git, OpenGL, CUDA, OpenSceneGraph. Windows and Linux, msvc/gcc/clang/clangcl, Visual Studio 2022 or any productive IDE. Some projects use Python, Java, or Javascript.

Apply online at https://www.stellarscience.com/careers/.

At NNext.ai (read “Next.ai”), we believe that the true power of LLMs lies in agentic behavior. By engineering a system that draws on LLMs' emergent abilities and providing an ecosystem that supports environmental interactions for tabular data, we can fully realize the full potential of models like GPT-4.

We are building building core infrastructure to simplify the process of building, deploying, and managing LLM-powered AI agents on tabular data, making it the most efficient solution available. NNext AI enables users to combine the power of Large Language Models (LLMs) like GPT with tools like the browser and Google Search, greatly increasing your productivity on workflows you once spent countless hours on. We are building a framework specialized for tabular data such as Spread sheets, Database Tables and CSVs, thereby taking advantage of the similarities and co-dependencies amongst data.

We are lean team of engineers looking for our first full time OSS contributor. Desirable experience includes distributed systems working with tools like Celery, Dash and Redis Streams. Visibility on Github is a huge plus. Show us previous OSS software you’ve contributed to or public personal projects with significant usage.

Website: https://nnext.ai

Github: https://github.com/nnextai/aigent

Email: sup@nnext.us

Nuna's HQ is located SF but we are a hybrid and very remote friendly workforce. You must be located physically in the United States however to work.