Applied AI Inference Engineer
Tasks
- Adapt optimization methods across ML models
- Deploy from proof of concept to monitored production
- Design inference serving architectures
- Draft product requirements and feature specs
- Implement low level CUDA kernel optimizations
- Optimize large language model inference performance
- Profile latency and cost bottlenecks
- Scale inference under real traffic
- Tailor deployments to customer models and constraints
- Tune request routing and throughput
Perks/Benefits
- 401k match
- Cell phone stipend
- Commuter benefits
- Daily meals allowance
- Emergency assistance
- Employer health dental and vision insurance
- Global travel insurance
- HSA employer contributions
- Life insurance
- Long-term disability
- Mental health and wellness support
- Paid Holidays
- Paid parental leave
- Paid time off
- Professional development
- Short-term disability
- Tuition reimbursement
- Volunteer time off
Skills/Tech-stack
C++ | CUDA | Docker | GPU | Kubernetes | Language Models | Large Language Models | Latency optimization | ML pipelines | Machine Learning | Production Deployment | Profiling | Python | Request Routing | SGLang | Throughput Optimization | VLLM
Education
Regions
Countries
States
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