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 four open positions, three hybrid and one (marked) onsite:
• Principal Storage Architect & Team Lead: Our current storage team lead is moving on to Industry, so we're splitting his work into two separate roles. This is the Technical Manager position: You'll be leading the storage team, setting the direction for our large storage environments: Oak (file storage, used by multiple cluster), Fir (fast scratch for Sherlock), and Elm (object storage on top of tape). Knowledge of Lustre, Infiniband, and PB-scale storage is important. More info: https://bit.ly/44PbQnr
• Storage Architect or Storage Sysadmin: This is the second role I referenced above. You'll be maintaining & expanding Oak, our 20+ Pebibyte Lustre storage environment used by our largest HPC clusters. Depending on your experience level, you might also have some responsibility for Elm, which provides object storage on top of tape. Knowledge of Lustre, Infiniband, and PB-scale storage is important here, too. More info: https://bit.ly/4y8lj6R
• GPU Cluster Sysadmin: With Marlowe—our 1SU NVIDIA DGX H100 SuperPOD with DDN Intelliflash and DDN NFS storage—launched, we have decided to hire an additional sysadmin! You'll be working with the latest AI/ML/Deep Learning/LLM software & frameworks, getting them to work in an HPC environment. You'll be keeping the environment up-to-date, and working with NVIDIA/DDN when there's trouble. You should also expect to interact with users & PIs a lot. More info: https://bit.ly/4vf7aly
• HPC Hardware & Infra Sysadmin [ONSITE]: We are looking for a system administrator to help run the hardware & infrastructure portions of Sherlock, our largest HPC cluster. Sherlock is a mix of Intel & AMD x86_64 servers, with three Infiniband fabrics, plus an Ethernet backbone. You'll be responsible for maintaining, troubleshooting, and improving the hardware of Sherlock. That is, keeping things working, and figuring out how to make it better. More info: https://bit.ly/3SPRpnJ
If you don't already live in the Bay Area, we provide a relocation incentive. Depending on where you live, we provide free transit passes. Unfortunately, if you drive, you will have to pay for parking for the days you're on-site. There is some on-call around the holidays. We get a 403(b) match, good healthcare, and 30+ days off per year (holidays + vacation). All Benefits are all publicly documented at https://cardinalatwork.stanford.edu/benefits-rewards.
If you have questions, feel free to reply here or email me (the info is in my profile)!
We secure the SaaS apps companies actually run on: M365, Salesforce, and hundreds more. You’d be on the Threat product team working full-stack. That means browser extension code (content/background scripts, manifest v3, message passing), backend services chewing through millions of events, and the data pipelines feeding our detection engine. One day you’re in TypeScript debugging why a content script won’t capture form submissions on some vendor’s weird SPA. The next you’re in Python fixing a Kafka consumer that’s falling behind. Sometimes you’re in Rust optimizing a hot path in the telemetry collector.
Big current focus is shadow AI, i.e. catching when employees paste sensitive data into ChatGPT, Claude, or whatever LLM showed up this week. You’d build the systems that detect it.
Looking for ~8+ yrs experience, real browser knowledge (DOM, event loop, SPA routing, CORS, not just “I used React”), prior browser extension work, strong TypeScript, comfortable in Python, willing to write Rust, plus data-at-scale chops (event streaming, Postgres, Elasticsearch, Kafka). Bonus: AI security (prompt injection, exfiltration), detection engineering/SIEM, or security tooling.
Apply via the link above, or see all our open roles at https://www.obsidiansecurity.com/careers
We are a new robotics company based in Palo Alto, California, building wearable robotic devices that improve the endurance of humans on foot.
Our first product is a lightweight, bilateral hip product that reduces the physical cost of carrying heavy loads over distance, allowing personnel to move farther, carry more, and arrive at the objective less fatigued and more effective. The company is early but already operating in the field, with a direct feedback loop in the most demanding conditions imaginable.
We are backed by Y Combinator and a group of leading deep-technology investors.
We've recently moved to the Bay area to grow the team, and are hiring three lead engineers who will own product/ their domains, and have full authority with no inherited design decisions and no one between them and the problem. What you build will be worn in weeks by real users:
- Mechanical: structures, joints, actuator integration, ruggedness
- Firmware: real-time motor control, sensor fusion, embedded systems
- Software: device-to-cloud telemetry, test infrastructure, user apps
Shoot me (founder) a text (+1 857-327-3414) and I'll tell you exactly what we're building :)