Senior Software Engineer, Inference

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

Responsibilities

• 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).

Requirements

~ 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. Optimize end-to-end ML system performance by developing and tuning CUDA kernels, reducing model latency, maximizing compute and memory bandwidth utilization, and leveraging custom accelerators for high-efficiency workloads. 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. Preferred 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.

Qualifications

Preferred 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.

Skills

Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance. Optimize end-to-end ML system performance by developing and tuning CUDA kernels, reducing model latency, maximizing compute and memory bandwidth utilization, and leveraging custom accelerators for high-efficiency workloads. 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. Preferred 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.

Benefits

The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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

Pay

The base salary range for this role is $152,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Schedule

In addition to a competitive salary, we offer a variety of benefits to support your needs. These include: 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