Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Anthropic Limited
San 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
Job Source: Anthropic LimitedInsight 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 GlobalZoox
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: ZooxRetool
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: RetoolZoox
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: ZooxeTeam 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.Understanding Recruitment Inc
San Francisco, CA, United States
ML Performance Engineer Join Our Team as an ML Performance Engineer Are you ready to pioneer the future of AI, making it private, convenient, and profitable for all? At our company, we're on a mission to empower developers and enterprises worldwide by migrating inference to user devices and supercharging existing on-device inference. We believe thi
Job Source: Understanding Recruitment IncZoox
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
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 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 that you might do at Anthropic:
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
Annual Salary (USD)
The expected salary range for this position is $280k - $450k USD.
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits - The following benefits are for our US-based employees:
Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
Comprehensive health, dental, and vision insurance for you and all your dependents.
401(k) plan with 4% matching.
21 weeks of paid parental leave.
Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
Stipends for education, home office improvements, commuting, and wellness.
Fertility benefits via Carrot.
Daily lunches and snacks in our office.
Relocation support for those moving to the Bay Area.
UK Benefits - The following benefits are for our UK-based employees:
Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
Private health, dental, and vision insurance for you and your dependents.
Pension contribution (matching 4% of your salary).
21 weeks of paid parental leave.
Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
Health cash plan.
Life insurance and income protection.
Daily lunches and snacks in our office.
#J-18808-Ljbffr
Email Alert for Performance Engineer jobs in San Francisco, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.