Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving
Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups
Productionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance serving
Build comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurations
Productionize performance improvements across runtimes (e.g.TensorRT, TensorRT‑LLM): speculative decoding, quantization, batching, and KV‑cache reuse.
Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks to measure speed, reliability, and quality.
Implement platform fundamentals: API versioning, validation, usage metering, quotas, and authentication.
Collaborate closely with other teams to deliver robust, developer‑friendly model serving experiences.
Requirements
3+ years experience building and operating distributed systems or large‑scale APIs.
Proven track record of owning low‑latency, reliable backend services (rate‑limiting, auth, quotas, metering, migrations).
Infra instincts with performance sensibilities: profiling, tracing, capacity planning, and SLO management.
Comfortable debugging complex systems, from runtime internals to GPU execution traces.
Strong written communication; able to produce clear design docs and collaborate across functions.
Benefits
Competitive compensation package.
This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.
An inclusive and supportive work culture that fosters learning and growth.
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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