Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Staff Software Engineer (IC5) on the Inference team, you will operate as a technical leader across multiple teams and services, driving architecture, performance, and reliability for CoreWeave’s Kubernetes-native inference platform. You will define and lead complex, cross-cutting design initiatives spanning request routing, adaptive scheduling, GPU resource management, and cost-per-token optimization under strict P99 SLAs. This high-impact role requires you to implement advanced inference optimizations—such as speculative decoding and KV-cache reuse—while establishing performance benchmarking frameworks, guiding cross-functional alignment across infrastructure boundaries, and raising the bar for engineering rigor and observability practices.

Responsibilities

Define and lead complex, cross-cutting design initiatives spanning request routing, adaptive scheduling, GPU resource management, and cost-per-token optimization under strict P99 SLAs.
Implement advanced inference optimizations—such as speculative decoding and KV-cache reuse.
Establish performance benchmarking frameworks.
Guide cross-functional alignment across infrastructure boundaries.
Raise the bar for engineering rigor and observability practices.
Own system-wide SLIs/SLOs, capacity planning, and autoscaling strategies.
Mentor senior and mid-level engineers.

Requirements

~8–12+ years of experience building large-scale distributed systems or cloud platforms.
Proven track record of leading cross-team or organization-level technical initiatives at scale.
Strong coding skills in Go, Python, or C++.
Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design.
Strong understanding of networked systems, performance optimization, and distributed system design.
Hands-on engineering experience with inference systems, including batching/micro-batching strategies, caching, memory optimization, mixed precision (BF16/FP8), and streaming token delivery.
Demonstrated ability to systematically improve tail latency (P95/P99) and platform reliability through metrics-driven engineering.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Direct open-source or production contributions to modern inference frameworks such as vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe.
Deep experience with GPU systems engineering and hardware performance optimization (CUDA, NCCL, RDMA, NUMA, or GPU interconnects).
Direct exposure to large-scale AI/ML infrastructure or hyperscale cloud environments.
Ability to scale highly complex distributed architectures and mentor engineering cohorts to elevate technical standards across an organization.
Curiosity about pioneering low-latency inference optimizations and finding innovative shortcuts to optimize cost-per-token performance.
Expertise in metrics-driven engineering, troubleshooting micro-bottlenecks, and delivering stable cloud platforms under strict multi-tenant constraints.
Must be a U.S. person (U.S. citizen or national, U.S. lawful permanent resident, refugee, or asylee) or eligible to access export controlled information without required authorization, or eligible and likely to obtain required export authorization.

Skills

Go
Python
C++
Kubernetes
Networked systems
Performance optimization
Distributed system design
Inference systems
Batching/micro-batching strategies
Caching
Memory optimization
Mixed precision (BF16/FP8)
Streaming token delivery
Metrics-driven engineering
Tail latency optimization (P95/P99)
Platform reliability
SLIs/SLOs
Capacity planning
Autoscaling strategies
vLLM
Triton
TensorRT-LLM
Ray Serve
TorchServe
GPU systems engineering
Hardware performance optimization
CUDA
NCCL
RDMA
NUMA
GPU interconnects
AI/ML infrastructure
Hyperscale cloud environments

Work Type

Full-time

Experience Level

Staff Software Engineer (IC5)
8-12+ years of experience

Education Level

Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Salary/Compensations

£116,000 to £155,000

Benefits

Discretionary bonus
Equity awards
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

About the Company

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.
CoreWeave’s Inference team builds and operates the core cloud platform powering massive-scale GPU workloads for AI/ML, VFX, rendering, and real-time inference.
Our stack is engineered for speed, scale, and cost efficiency—providing a powerful alternative to traditional hyperscalers.
Infrastructure is our product, and we operate it at massive scale to power the most demanding workloads.
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams even if you aren't a 100% skill or experience match.
We support and encourage an entrepreneurial outlook and independent thinking.
We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems.
As we get set for takeoff, the organisation's growth opportunities are constantly expanding.
You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Equal Opportunity

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.