At a Glance
- Tasks: Lead the design and optimisation of our cutting-edge AI cloud platform.
- Company: Join CoreWeave, a pioneering tech company transforming AI infrastructure.
- Benefits: Enjoy competitive salary, health insurance, and generous pension contributions.
- Other info: Dynamic, fast-paced environment with endless growth opportunities.
- Why this job: Make a real impact in AI while working with top industry talent.
- Qualifications: 3+ years in software development, especially with Kubernetes and distributed systems.
The predicted salary is between 80100 - 97900 £ per year.
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.
CoreWeave’s Inference team builds and operates the core cloud platform powering massive-scale GPU workloads for generative AI and real-time inference applications. Our stack is engineered natively on Kubernetes for maximum speed, scale, and cost efficiency, providing an industry-defining platform that enables teams to deploy models with confidence across organizational boundaries.
As a Senior Software Engineer, Inference, you will serve as an area owner responsible for leading technical designs, raising engineering standards, and delivering measurable improvements across multiple services. You will partner with product, orchestration, and hardware teams to evolve our Kubernetes-native inference platform while meeting strict P99 SLAs at scale. In this role, you will lead design reviews, decompose multi-service work into clear milestones, and own critical infrastructure areas such as request routing, adaptive scheduling, cost-per-token analytics, and GPU resource isolation. Additionally, you will implement advanced optimizations—including micro-batch schedulers, speculative decoding, and KV-cache reuse—while refining capacity planning, autoscaling policies, and mentoring engineers across the team.
Who You Are
- Bachelor’s or Master’s degree in Computer Science or a related technical field (or equivalent practical experience).
- 3+ years of professional industry experience building distributed systems or high-performance cloud services.
- Strong software development skills in Python or Go, alongside deep familiarity with networked systems and performance optimisation.
- Hands-on experience with Kubernetes at production scale, including automated CI/CD and modern observability stacks (e.g., Prometheus, Grafana, OpenTelemetry).
- Practical, working knowledge of inference internals: batching strategies, caching, mixed precision (BF16/FP8), and streaming token delivery.
- Proven track record of improving tail latency (P95/P99) and service reliability through metrics-driven engineering work.
- Experience defining and owning SLIs/SLOs, managing capacity planning, autoscaling policies, and driving post-incident remediation.
Preferred
- Experience with low-level systems and high-performance computing components (e.g., C++ development, CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies).
- Active open-source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe).
- Experience leading multi-team technical initiatives or partnering directly with enterprise customers on mission-critical platform launches.
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: Own critical architectural spaces, breaking down complex multi-service engineering work into high-impact, achievable milestones.
You're curious about: Pioneering advanced model serving optimisations to maximise platform throughput and drive cost-per-token efficiencies.
You're an expert in: Metrics-driven engineering, systematically troubleshooting tail latency bottlenecks, and elevating coding and testing standards across a team.
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!
Compensation
The base salary range for this role is 321,000 PLN to 428,000 PLN gross annually. 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 programme (subject to eligibility).
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- 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 disruption
Benefits may vary by location.
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.
Sr. Software Engineer, Inference employer: CoreWeave
CoreWeave is an exceptional employer that thrives on innovation and collaboration, making it an ideal place for the Senior Community Affairs & Partnerships Manager to make a meaningful impact. With a strong emphasis on employee growth, a dynamic work culture, and comprehensive benefits including flexible PTO and tuition reimbursement, CoreWeave fosters an environment where creativity and independent thinking are encouraged. Located in a fast-paced industry, employees are surrounded by top talent and have the opportunity to contribute to groundbreaking advancements in AI technology while building trusted relationships within the community.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Software Engineer, Inference
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CoreWeave or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CoreWeave.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CoreWeave.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CoreWeave that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Sr. Software Engineer, Inference
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CoreWeave.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CoreWeave and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at CoreWeave
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CoreWeave uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.