Sr. 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).
  
  

• 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.

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.

The base salary range for this role is 321,000 - 470,800 PLN. 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). 

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

Recruitment Agencies

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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.  CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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