3 часа назад
AI Infrastructure Engineer (LLM)
250 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Infrastructure Engineer (LLM): Optimizing large language model inference stacks for production with an accent on low-level performance tuning, CUDA kernel analysis, and serving architecture design. Focus on scaling inference throughput and latency for customer-facing AI workloads.
Location: On-site in San Francisco, CA or Sunnyvale, CA
Compensation: $250,000–$300,000 + Bonus + Restricted Stock Units
Company
is a vertically integrated AI infrastructure company building the future of energy-efficient, high-performance AI compute.
What you will do
- Design and optimize serving architectures for LLMs, including prefill and decode disaggregation.
- Profile and tune inference stacks from frameworks like vLLM and SGLang down to the CUDA kernel level.
- Partner with customer engineering teams to tailor deployments to specific traffic patterns and latency targets.
- Take workloads from early proof of concept to fully monitored, high-performance production services.
- Experiment with optimization methods to improve throughput, latency, and cost-efficiency.
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
- Hands-on experience shipping production code in Python or C++.
- Familiarity with LLM serving frameworks such as vLLM or SGLang.
- Strong understanding of GPU architecture and performance profiling.
- Experience with AI/ML pipelines and deploying models in production.
- Strong communication skills for explaining technical concepts to customers.
Nice to have
- Experience with CUDA or comparable low-level technologies.
- Strong command of software engineering fundamentals.
- Experience with Docker and Kubernetes.
- Prior work in customer-facing AI/ML roles.
Culture & Benefits
- Competitive compensation including equity and Restricted Stock Units.
- Comprehensive health, dental, and vision insurance with HSA contributions.
- 401(k) retirement plan with up to 4% company match.
- Paid parental leave, disability insurance, and life insurance.
- Professional development and tuition reimbursement programs.
- Daily meals allowance and commuter benefits.
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