Senior Software Engineer (Inference)

Senior engineers are area owners who lead designs, raise engineering standards, and deliver measurable improvements to latency, throughput, and reliability across multiple services

You’ll partner with product, orchestration, and hardware teams to evolve our Kubernetes-native inference platform and meet strict P99 SLAs at scale

Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones

Define and own SLIs/SLOs; ensure post-incident actions land and reliability improves release-over-release

Implement advanced optimizations (e.g., micro-batch schedulers, speculative decoding, KV-cache reuse) and quantify impact

Strengthen incident posture: capacity planning, autoscaling policy, graceful degradation, rollback/traffic-shift strategies

Mentor IC1/IC2 engineers; review cross-team designs and elevate coding/testing standards

For IC4: own an area spanning multiple services and teams (e.g., request routing & adaptive scheduling, cost-per-token analytics, GPU resource isolation)- Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry)

Practical knowledge of inference internals: batching, caching, mixed precision (BF16/FP8), streaming token delivery

Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance

Proven track record improving tail latency (P95/P99) and service reliability through metrics-driven work

IC3: ~3–5 years; IC4: ~5–8 years industry experience building distributed systems or cloud services

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency

Contributions to inference frameworks (vLLM, Triton, TensorRT-LLM, Ray Serve, TorchServe)

Leading multi-team initiatives or partnering with customers on mission-critical launches

Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies