Staff Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Software Engineer (AI): Building core Python/Rust platforms for request routing, orchestration, and GPU autoscaling with an accent on distributed system fundamentals and low-latency performance. Focus on scaling platform architecture to handle 100x traffic while leveraging AI for system automation and complex multi-tenant compute challenges.
Location: Must be based in or be able to relocate to San Francisco, CA
Salary: $180,000–$250,000
is an AI infrastructure company building high-performance compute platforms for developers.
What you will do
- Develop core infrastructure including request routing, scheduling, and GPU autoscaling.
- Design systems for large-scale file storage, queueing, and distributed compute.
- Produce architectural roadmaps to scale platform capacity by 100x current traffic.
- Tune low-level CPU and memory performance in Python and Rust environments.
- Utilize AI to automate complex system operations and maintenance.
- Drive technical decisions and cross-team collaboration for platform evolution.
Requirements
- 5+ years of experience building distributed compute and orchestration platforms.
- Proficiency in Python or Rust.
- Deep understanding of distributed systems fundamentals like consensus, scheduling, and fault tolerance.
- Expertise in computational complexity and memory allocation.
- Proven track record of designing systems that scale under real production load.
- Must be based in or willing to relocate to San Francisco (visa sponsorship provided).
Nice to have
- Experience with AI/ML inference or training infrastructure.
- Expertise in high-performance systems programming such as async runtimes and memory-safe concurrency.
- Background in building multi-tenant compute platforms.
- Understanding of GPU workload scheduling and networking performance characteristics.
Culture & Benefits
- Comprehensive health, dental, and vision insurance tailored for US employees.
- Equity-based compensation package.
- Regular team events and company offsites.
- Opportunity to work on highly challenging engineering problems.
- Focus on growth and professional development.
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