Sr. Software Engineer, Inference
External
Coreweaveu · Warsaw, PolandPrepare for this interview
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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.
- For IC4: own an area spanning multiple services and teams (e.g., request routing & adaptive scheduling, cost-per-token analytics, GPU resource isolation).
Requirements
- 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 Computer Science or related field (or equivalent practical experience).
- 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.
- Why CoreWeave
- Help shape an industry-defining inference platform that enables teams to deploy generative AI and real-time applications at scale. If optimizing tail latency and delivering reliable model serving excites you, this is the place to build.
- To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
Benefits
Additional Information
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . We're proud to be a Living Wage accredited Employer.
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