CoreWeave-posted 5 days ago
$165,000 - $242,000/Yr
Full-time • Mid Level
Hybrid • Sunnyvale, CA
501-1,000 employees

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. About the role: 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. Own an area spanning multiple services and teams (e.g., request routing & adaptive scheduling, cost-per-token analytics, GPU resource isolation).

  • 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
  • Own an area spanning multiple services and teams (e.g., request routing & adaptive scheduling, cost-per-token analytics, GPU resource isolation)
  • ~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
  • Contributions to inference frameworks (vLLM, Triton, TensorRT-LLM, Ray Serve, TorchServe)
  • Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies
  • Leading multi-team initiatives or partnering with customers on mission-critical launches
  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption
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