CoreWeave
Technology
Sr.SoftwareEngineer,Inference
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Software Engineer, Inference at CoreWeave. Skills: Cloud engineering, DevOps, Infrastructure automation. Design and implement scalable infrastructure. Build and maintain CI/CD pipelines”
What You'll Achieve.
Improve system reliability; Enhance scalability
Industry & Context.
Problem-solving; Troubleshooting
What They're Looking For.
Must Have
5+ years experience, Bachelor's degree
What You'll Do.
Design and implement scalable infrastructure
Build and maintain CI/CD pipelines
Automate infrastructure provisioning
Monitor system performance
Troubleshoot production issues
Collaborate with engineering teams
Improve system reliability
Manage cloud resources
How You'll Work.
Team & Collaboration
Engineering teams; Cross-functional teams
Process & Methodology
Agile, Scrum
Full Job Description
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. 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. 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 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 t
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