Staff Software Engineer, Inference

CoreWeave

Greater London

On-site

GBP 120,000 - 180,000

Full time

35 hours ago

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Benefits offered by this job

Family-level Medical Insurance

Family-level Dental Insurance

Generous Pension Contribution

Life Assurance at 4x Salary

Critical Illness Cover

Employee Assistance Programme

Tuition Reimbursement

Work culture focused on innovative dis

ruption

Job summary

CoreWeave is seeking a Staff Software Engineer for the Inference team to drive architecture and reliability across a Kubernetes-native platform powering large-scale GPU workloads. You will lead cross-team initiatives, optimize performance, and implement advanced inference techniques with robust benchmarking.

The role demands 8+ years in distributed systems, strong Go/Python/C++ skills, and deep Kubernetes expertise, with a focus on tail latency and multi-tenant reliability.

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
8+ years building large-scale distributed systems or cloud platforms with cross-team leadership.
Strong coding in Go, Python, or C++ and production Kubernetes expertise.
Deep knowledge of networked systems, performance tuning, and distributed design.
Inference systems experience including batching, caching, memory optimization, and mixed precision.
Proven ability to improve tail latency (P95/P99) and reliability with metrics-driven engineering.

Responsibilities

Lead architecture, performance, and reliability for the Kubernetes-native inference platform.
Drive cross-team design initiatives spanning routing, scheduling, and resource management.
Implement advanced inference optimisations and benchmarking frameworks.
Establish and own system-wide SLIs/SLOs and capacity planning; mentor senior engineers.

Skills

Python

C++

Kubernetes production

Distributed systems

Performance optimization

Inference systems

Mentoring engineers

SLIs/SLOs

Education

Bachelor's degree in Computer Science or Engineering

Tools

Kubernetes

CUDA

NCCL

RDMA / NUMA

GPU interconnects

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.

What You'll Do

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 where infrastructure is our core product operated at massive scale.

About The Role

As a Staff Software Engineer 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 optimisation under strict P99 SLAs. In this high‑impact role, you will implement advanced inference optimisations—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 rigour and observability practices across the organisation.

Who You Are

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
8+ years of experience building large‑scale distributed systems or cloud platforms, with a proven track record of leading cross‑team or organisation‑level technical initiatives at scale.
Strong coding proficiency in Go, Python, or C++.
Deep expertise in Kubernetes at production scale, including orchestration, scheduling, and service design.
Strong understanding of networked systems, performance optimisation, and distributed system design.
Hands‑on engineering experience with inference systems, including batching/micro‑batching strategies, caching, memory optimisation, mixed precision (BF16/FP8), and streaming token delivery.
Demonstrated ability to systematically improve tail latency (P95/P99) and platform reliability through metrics‑driven engineering.
Proven experience owning system‑wide SLIs/SLOs, capacity planning, autoscaling strategies, and mentoring senior and mid‑level engineers.

Preferred

Direct open‑source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT‑LLM, Ray Serve, or TorchServe).
Deep experience with GPU systems engineering and hardware performance optimisation (e.g., CUDA, NCCL, RDMA, NUMA, or GPU interconnects).
Direct exposure to large‑scale AI/ML infrastructure or hyperscale cloud environments.

Wondering if you're a good fit?

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.

You love to: Scale highly complex distributed architectures and mentor engineering cohorts to elevate technical standards across an organisation.
You're curious about: Pioneering low‑latency inference optimisations and finding innovative shortcuts to optimise cost-per-token performance.
You're an expert in: Metrics‑driven engineering, troubleshooting micro‑bottlenecks, and delivering stable cloud platforms under strict multi‑tenant constraints.

Why CoreWeave?

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

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 take‑off, 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. Come join us!

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