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DoorDash USA
San Francisco, CA, United States
About the Company Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a member of the
Job Source: DoorDash USACovariant
Emeryville, CA, United States
THE COMPANY Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer's real-world operations requires new ideas, approaches and techniques. Success in the real world re
Job Source: CovariantBaton
San Francisco, CA, United States
Who We Are Baton is seeking ambitious individuals who desire the autonomy and agility of a startup environment combined with the backing, power, reach, and stability of a highly respected logistics industry giant. Baton is the Silicon Valley-based technology innovation lab for Ryder, a leading logistics company that owns 260k trucks and manages $
Job Source: BatonPivot Bio
Berkeley, CA, United States
Senior Infrastructure Software Engineer at Pivot Bio Mar 10, 2021 Company Description: Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Our first commercial product harnesses the power of naturally-occurring microbes to provide nutrients to crops. We
Job Source: Pivot BioDashworks
San Francisco, CA, United States
[Full Time] Senior Software Engineer - Infrastructure at Dashworks (United States) | BEAMSTART Jobs Senior Software Engineer - Infrastructure Dashworks United States Date Posted 13 Jan, 2023 Work Location San Francisco, United States Salary Offered $150000 — $200000 yearly Job Type Full Time Experience Required 6+ years Remote Work Yes Stock
Job Source: DashworksTogether AI
San Francisco, CA, United States
As a Senior Infrastructure Software Engineer, you will focus on automating infrastructure installations and decommissions at scale. You will build tools to constantly improve our scale and speed of deployment. You will nurture a passion for an "automate everything" approach that makes systems failure-resistant and ready-to-scale. Your work will en
Job Source: Together AITogether
San Francisco, CA, United States
As a Senior Infrastructure Software Engineer, you will focus on automating infrastructure installations and decommissions at scale. You will build tools to constantly improve our scale and speed of deployment. You will nurture a passion for an “automate everything” approach that makes systems failure-resistant and ready-to-scale. Your work will en
Job Source: Togethercovariant.ai
Emeryville, CA, United States
THE COMPANY Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer's real-world operations requires new ideas, approaches and techniques. Success in the real world re
Job Source: covariant.aiSan Francisco, CA, United States
Join us to build and safely deploy aligned, superhuman AI. We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains.
As a Software Engineer working on our large-scale training and inference infrastructure, you will architect and build resilient solutions for AI workloads on large GPU clusters. If you love scaling things, enjoy getting the most out of compute infra and maximizing reliability, this role is for you.
Responsibilities Lead and participate in projects to build massive scale, highly available and secure training, production and development infrastructure.
Ensure highly available GPU workloads for training and production inference purposes
Respond to and investigate incidents across security and availability
Platform Engineering to enable our engineers to be super fast
Come up with and propose ways of accelerating the team
Troubleshoot and resolve issues across GPU resources, networking, OS, drivers and cloud environments, automate detection and recovery of such issues
Requirements Very strong linux knowledge in the k8s VM and bare metal context, including bash scripting and troubleshooting
Strong hardware knowledge around server hardware, networking hardware and GPUs
Strong IaC knowledge with extensive experience in Terraform or Pulumi
Extensive experience with either AWS and GCP, ideally with both
Very strong coding skills
Very strong knowledge of hardening cloud native and especially k8s workloads
Magic's culture Integrity. Words and actions should be aligned.
Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
Teamwork. We move as one team, not N individuals.
Focus. Ethically deploy AGI. Everything else is noise.
Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Benefits and perks Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits
401K with 6% match
Flexible working hours
In-person (SF or Vienna) or remote
A small, fast-paced, highly focused team
About Magic
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
FAQ:
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
Funding?
We've recently raised $28M.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Yes
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people. In all hires, we are looking for either 1) difference makers on world class teams or 2) individuals who would become this very quickly if placed on such a team tomorrow.
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Email Alert for Senior Software Engineer - Compute Infrastructure jobs in San Francisco, CA, United States
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