Senior Software Engineer II, Inference
Quick Summary
Senior engineers are area owners who lead designs, raise engineering standards, and deliver measurable improvements to latency, throughput, and reliability across multiple services.
Medical, dental,
Responsibilities
~1 min readSenior 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
~1 min read- 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.
- 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.
Nice to Have
~1 min read- 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.
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
What We Offer
~1 min readWhile we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
California Consumer Privacy Act - California applicants only
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.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.
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.
Listing Details
- Posted
- April 17, 2026
- First seen
- March 26, 2026
- Last seen
- April 17, 2026
Posting Health
- Days active
- 22
- Repost count
- 0
- Trust Level
- 83%
- Scored at
- April 17, 2026
Signal breakdown
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