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Karkidi
San Francisco, CA, United States
About Anthropic Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product. You might be a good fit if you: Have
Job Source: KarkidiInsight Global
San Francisco, CA, United States
Job Description At least 10 years of Performance engineering experience in the following technical areas; Java/J2EE performance tuning, DB performance tuning, Garbage collection and Heap analysis. Tools experience : Jmeter, Blazemeter, Dynatrace, Grafana and Splunk Analyze the CPU Utilization, Memory usage, Network usage, Garbage Collection and DB
Job Source: Insight GlobalRetool
San Francisco, CA, United States
ABOUT RETOOL: Nearly every company in the world runs on custom business software: Gartner estimates that up to 50% of all code is written for internal usage. This is the operational software for refunding orders, underwriting loans, moderating content, managing marketplaces, rolling out new features, onboarding employees, analyzing transactions, pr
Job Source: RetooleTeam Inc.
San Francisco, CA, United States
Reporting and Analytics space experience in Architecting Visualization / Analytics using Alteryx & Tableau Exp of programming experience in web applications development using Core java, Spring MVC and Spring Boot Spring Rest api for backend and Frontend using Angular ,HTML5 and CSS3. rchitect Analytics solutions using Tableau integrated with diffe
Job Source: eTeam Inc.Zoox
Foster City, CA, United States
Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine-tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels. The Software Core Performanc
Job Source: ZooxZoox
Foster City, CA, United States
Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizin
Job Source: ZooxRoblox
San Mateo, CA, United States
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vi
Job Source: RobloxZoox
Foster City, CA, United States
Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine-tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels. The Software Core Performance
Job Source: ZooxSan Francisco, CA, United States
Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.
You may be a good fit if you:
Have significant software engineering or machine learning experience, particularly at supercomputing scale
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair!)
Want to learn more about machine learning research
Care about the societal impacts of your work
Strong candidates may also have experience with:
High performance, large-scale ML systems
GPU/Accelerator programming
ML framework internals
OS internals
Language modeling with transformers
Representative projects:
Implement low-latency high-throughput sampling for large language models
Implement GPU kernels to adapt our models to low-precision inference
Write a custom load-balancing algorithm to optimize serving efficiency
Build quantitative models of system performance
Design and implement a fault-tolerant distributed system running with a complex network topology
Debug kernel-level network latency spikes in a containerized environment
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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Email Alert for Performance Engineer jobs in San Francisco, CA, United States
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