About this role
We’re hiring a Founding ML Infrastructure Engineer in Bengaluru to own the systems that train and serve our Speech models: the distributed training stack, Realtime inference engine, and the cloud services. You’ll work in a small team with tons of compute and see your ideas making it to production in days.
**What you’ll do**
* Own the training stack: FSDP/HSDP and Megatron-style tensor parallelism in our PyTorch framework
* Make realtime inference fast: time-to-first-audio and throughput on our vLLM-based engine, Quantization, model compilation and load testing under high concurrency.
* Build data pipelines at scale: Work on creating in-house data pipelines that process Millions of hours of audio and feed training at high throughput.
* Run the production path: API gateway and streaming WebSocket APIs, deploy tooling, logging, monitoring.
**What we’re looking for**
* 3+ years building ML systems or high-performance backend infrastructure.
* Hands-on depth in at least one of: distributed training (FSDP/TP/PP), LLM serving (vLLM/SGLang/TensorRT-LLM), High volume data processing, or low-latency streaming systems.
* Comfort operating in ambiguity: you can spec, build, debug, and ship.
* Speech/audio experience is a plus, not required.