Please state the location and include REMOTE, INTERNS and/or VISA
when that sort of candidate is welcome. When remote work is
not an option,
include ONSITE.
Please only post if you personally are part of the hiring company—no
recruiting firms or job boards. Only one post per company. If it isn't a household name,
please explain what your company does.
Commenters: please don't reply to job posts to complain about
something. It's off topic here.
Readers: please only email if you are personally interested in the job.
Searchers: try https://hnhired.fly.dev, https://kennytilton.github.io/whoishiring/,
https://hnjobs.emilburzo.com, https://news.ycombinator.com/item?id=10313519.
Don't miss these other fine threads:
Who wants to be hired? https://news.ycombinator.com/item?id=34219332
Freelancer? Seeking freelancer? https://news.ycombinator.com/item?id=34219334
Woods Hole Oceanographic Institution is a leading ocean research institution. Our engineers build autonomous and remotely-operated underwater vehicles and observing platforms to explore and understand the ocean, and develop the software that scientists use to make new discoveries every day.
We have open positions for software engineers, electrical engineers, data scientists, system administrators, and more to help us accelerate our research on vital topics such as climate change. Some positions are remote/hybrid, and we welcome candidates who have no direct experience in oceanography.
- Support the systems that keep a global array of at-sea instruments humming along, providing scientists worldwide with open data about our climate and ocean health.
- Build the tools and platforms for exploring data on shore, like our data portal for harmful algal blooms, and at sea, like the loggers used across our fleet of research vessels.
- Develop behaviors for autonomous underwater vehicles to enable new missions, like protecting the arctic from environmental damage by detecting and mapping out oil spills under ice.
- Apply machine learning to unique data sets like dolphin whistles and plankton imagery to unlock new insights, not only in the data center but also at the edge on embedded systems making sense of the world in real time.