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Syntricate Technologies Mountain View, United StatesJob Title :Microsoft Infrastructure Engineer-Data Center · Location :Mountain View, CA (Local) · Duration :Contract · Role Description: Daily walkthrough of the Center and report/fix the infrastructure issues- Manage the Infrastructure of the center- Install and troubleshoot. E ...
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Staff data infrastructure engineer
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Tech Lead Manager, SRE Data Infrastructure
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Engineering Manager, Data and ML Infrastructure
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Principal Machine Learning Engineer
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AI/ML Engineer, Backend
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Software Engineer
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Infrastructure Engineer
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IT specialist
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Titan Ventures Mountain View, United States**About C & D GmbH Computer and Data Networks: ** · We are a locally operating IT system house based in Schleusingen. We support small and medium-sized companies in the South Thuringia and Upper Franconia region. Our services include business software as well as planning, install ...
Senior Software engineer- Data infrastructure - Palo Alto, United States - Luma AI, Inc.
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
Luma's mission is to build multimodal AI to expand human imagination and capabilities.We believe that multimodality is critical for intelligence.
To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision.
So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
We are looking for people with strong Backend Data Engineering capabilities to build highly efficient, resilient systems & pipelines for large-scale data processing.
Startup mindset
Value velocity and execution.
Communicate clearly.
Focus on building what will matter to users and the product.
Be resourceful at finding creative ways to overcome challenges.
Experience
Very strong generalist python coding.
Requirement of 5+ years of engineering, including 2+ years of work experience in petabyte-level data processing.
Experience engineering large-scale systems that process and serve petabytes of data.
Deep understanding of Kubernetes, SLURM, Ray and other cluster orchestration systems.
Experience working with visual data.
Experience working closely with ML is a strong plus .
We can not consider new grads for this role.
Roles and Responsibilities
Design, build and automate infrastructure for processing data across multiple clusters of thousands of GPUs
Work with researchers to identify and implement technical data requirements, and optimize distributed loading for model training
Work cross-functionally for diverse backend engineering needs
Design & build performant infrastructure to manage and leverage large-scale datasets for our model training.
Benefits
Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.
Excellent salary and benefits.
Full health, dental, and vision coverage.
Latest and greatest gear.
Stipends towards wellness, house cleaner, and phone/internet.
Unlimited paid time off with 12 days minimum.
Unlimited sick days.
Why Join Luma AI?
You will get to work with the world best AI researchers, shipping their research to millions of users around the world
You will be equipped with all the tools, technologies, resources and AI tools you need to get the job done
We build. We ship. Your work will matter to people.
We are building a very widely usable product, and you'll get to work on equally wide variety of challenging problems.
We have backing of some of the best VCs in Silicon Valley, and Angels from across the industry.
$170,000 - $250,000 a year
The pay range for this position in California is $170,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.
All your applications are reviewed by real people.
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