Senior Software Engineer I - AI Inference Data Plane
Tasks
- Architect multi tenant distributed inference system design proposals for availability and resiliency
- Build Kubernetes native distributed inference serving frameworks
- Contribute to open source inference frameworks and inference gateway ecosystem
- Design KV cache aware routing and load balancing
- Implement flow control fairness and autoscaling for inference pools
- Implement tensor data parallelism and cache optimizations
- Lead end to end design development and delivery of data plane services for AI inference
- Maintain operate critical high scale services using observability and SLOs
- Mentor junior engineers
- Optimize distributed inference hosting performance
Perks/Benefits
- Conference reimbursement
- Education reimbursement
- Employee assistance program
- Employee stock purchase program
- Equity compensation
- Flexible time off
- LinkedIn Learning reimbursement
- Local Employee Meetups
- Remote work
- Training reimbursement
Skills/Tech-stack
Autoscaling | Continuous batching | Data parallelism | Distributed Systems | GRPC | Go | KServe | KV cache | Kubernetes | Load Balancing | Nvidia Dynamo | Prefill Decode | Prefill decode disaggregation | Python | Quantization | Ray Serve | SGLang | TGI | Tensor Parallelism | TensorRT | TensorRT-LLM | VLLM
Education
N/A
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