1 день назад
Systems Software Engineer (AI Cloud)
120 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Systems Software Engineer (AI Cloud): Building and extending the GPU cloud daemon and market-based resource management systems with an accent on Linux, virtualization, containerization, and multi-tenant security. Focus on hardening infrastructure to zero-trust standards, profiling performance bottlenecks, and improving reliability across hypervisor, container, and network layers.
Location: On-site at offices in San Francisco or Westwood, Los Angeles, United States
Salary: $120,000–$180,000 per year, plus equity and bonus
Company
provides decentralized cloud computing infrastructure for AI projects and businesses worldwide.
What you will do
- Expand and extend the GPU cloud daemon orchestrating the host fleet.
- Design and deploy market-based resource management systems.
- Harden code and infrastructure to meet zero-trust standards.
- Benchmark and profile hypervisor, container, and network layers.
- Identify and eliminate performance bottlenecks while improving infrastructure reliability and capability.
Requirements
- Strong programming skills in at least one language, ideally C++.
- Extensive knowledge of Linux kernel internals, containerization, and virtualization.
- Deep understanding of workload and network isolation in multi-tenant environments.
- Experience securing and hardening cloud infrastructure handling untrusted workloads.
- Background in network security and cloud-native security practices.
- Experience with GPU programming and GPU-specific security concerns.
Culture & Benefits
- Full-time employment with on-site collaboration at the San Francisco or Los Angeles office.
- Health, dental, vision, and life insurance.
- 401(k) with company match.
- Meaningful early-stage equity, plus bonus eligibility.
- On-site meals and snacks.
- Close collaboration with founders and technical leaders in an ambitious startup environment.
Hiring process
- 15-minute virtual initial screening.
- 45-minute virtual discussion covering Vast, systems, and architectures.
- One-hour LLM-assisted coding assessment followed by a two-hour on-site meeting with the coding assessment.
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