обновлено 1 месяц назад
Software Engineer (ML Networking)
315 000 - 560 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (ML Networking): Developing and optimizing network infrastructure software interfacing with ML accelerators and high-speed networks with an accent on kernel and user-space networking, network protocol design, and distributed system debugging. Focus on building low-level network software, optimizing congestion control, and solving complex network latency issues.
Location: Hybrid with at least 25% in office, San Francisco, USA
Salary: $315,000 - $560,000 USD annually
Company
Anthropic is a public benefit corporation focused on building reliable, interpretable, and steerable AI systems for societal benefit.
What you will do
- Develop and maintain software interfacing between ML accelerators and high-speed networks
- Optimize network protocols and congestion control algorithms for large-scale workloads
- Debug kernel-level network latency and distributed system networking issues
- Benchmark and build new networking environments and collective algorithms
- Collaborate on system-level network infrastructure and performance improvements
Requirements
- Must be able to work hybrid with at least 25% presence in San Francisco office
- Bachelor's degree or equivalent experience required
- Expertise in network protocols, kernel and user-space networking technologies
- Strong systems programming skills with experience in performance optimization
- 5+ years in systems or network programming
- English proficiency at least B2 (job posting language)
Nice to have
- Experience with ML accelerators and accelerator drivers
- Knowledge of Rust programming language
- Experience designing new network protocols and working with PCIe devices
- Background in HPC, telecommunications, or OS/kernel engineering
Culture & Benefits
- Competitive compensation including equity and benefits
- Visa sponsorship available with immigration support
- Generous vacation and parental leave
- Flexible working hours and collaborative office environment
- Focus on impactful AI research with diverse and inclusive team
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