Senior Software Engineer I, Inference
CoreWeave- Base salary
- $139k–$204k Published base salary range
- Location
- Hybrid - Sunnyvale, CA or Bellevue, WA Remote eligibility
- Employment
- Full-time Senior
About the job
About the Role
Senior engineers are area owners who lead designs, raise engineering standards, and deliver measurable improvements to latency, throughput, and reliability across multiple services. Partner with product, orchestration, and hardware teams to evolve our Kubernetes-native inference platform and meet strict P99 SLAs at scale.
What You'll Do
- 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).
Who You Are
- IC3: ~3–5 years; IC4: ~5–8 years industry experience building distributed systems or cloud services.
- Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance.
- 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.
- Proven track record improving tail latency (P95/P99) and service reliability through metrics-driven work.
- Bachelor's or Master's in CS, EE, or related field (or equivalent practical experience).
- Preferred: Contributions to inference frameworks (vLLM, Triton, TensorRT-LLM, Ray Serve, TorchServe). Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies.
Export Control
This position requires access to export controlled information. Applicants must be a U.S. person (U.S. citizen or national, lawful permanent resident, refugee, or asylee), eligible to access the information without export authorization, or eligible and reasonably likely to obtain the required export authorization.
Compensation
Base salary range $139,000 to $204,000, plus discretionary bonus, equity awards, and comprehensive benefits.
Benefits
Medical, dental, and vision insurance (100% paid), life insurance, short/long-term disability, FSA/HSA, tuition reimbursement, ESPP, mental wellness benefits, family-forming support, paid parental leave, childcare support, 401(k) with match, flexible PTO, catered lunch, casual work environment.
Application
Apply via the provided link.
Skills & tags
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