
Software Engineer, ML Networking
Primary stack
Nice to have's
Job description
About the Position
Software Engineer, ML Networking
San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Role Summary
A systems-level engineer specializing in network infrastructure and network optimization, with expertise in building and maintaining software that interacts with networks. You will be responsible for writing and maintaining software that interfaces between our accelerators and our high-speed networks. This role requires deep technical knowledge of network protocols, kernel-space and/or user-space networks, interfacing with hardware, and the ability to debug and optimize distributed software at the network level.
Responsibilities
- Design and maintain software for high-speed networks and AI accelerators
- Interface between accelerators and high-speed networks
- Debug and optimize distributed software at the network level
- Develop new network protocols and algorithms
Requirements
Networking Systems Engineering:
- Expert-level proficiency with network protocols and networking concepts
- Deep kernel networking: TCP/IP stack internals, XDP, eBPF, io_uring, and epoll
- User-space networking: DPDK, RDMA, kernel bypass techniques
- Understanding of how to build higher-level abstractions like collectives and RPC
- Skilled at diagnosing and resolving networking issues in distributed systems, especially at OSI model layers 2-4
Low-Level Systems and OS Programming:
- Strong programming skills in a systems programming language, including memory management, lock-free data structures, and NUMA-aware programming
- Software, driver, and OS performance optimization tools and techniques
- Comfort with or desire to learn Rust
Nice to Have
- Understanding of ML accelerators and accelerator drivers
- Demonstrated ability to design new network protocols
- Experience with PCIe and drivers for PCIe devices
- Expertise in algorithms used in networking, including compression and graph algorithms
- Experience programming on SmartNICs
- 5+ years of experience in systems programming or network programming
We Offer
- Competitive compensation range: $280,000-$850,000 USD annually
- Hybrid work location policy
- Visa sponsorship available
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space in San Francisco
About the Company
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, and a collaborative environment. We believe in the importance of diversity and inclusion and encourage applications from all qualified candidates.
How to Apply
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.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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