At a Glance
- Tasks: Lead the evolution of our AI platform and mentor a talented engineering team.
- Company: Join CoreWeave, the essential cloud for AI, trusted by top innovators.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on mentorship and collaboration.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: 10+ years in software engineering with expertise in distributed systems and Python.
The predicted salary is between 75600 - 92400 £ per year.
Core Weave is The Essential Cloud for AI™.
Built for pioneers by pioneers, Core Weave 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, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.
Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.
Learn more at www. coreweave. com .
What You'll Do
The Physical AI Engineering Team at Core Weave is responsible for building and scaling the core platform that powers the world's most advanced engineering simulation and AI workflows.
From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world's largest engineering companies.
About the role
We're seeking a Staff Software Engineer to help drive the architectural evolution of our platform as we scale to meet growing demand from the world's largest engineering companies.
This is a hands-on technical leadership role where you'll drive critical architectural initiatives across the full software lifecycle - from design and testing to deployment, operations, and reliability - while mentoring our engineering team.
Partnering with senior engineering leadership, you'll help shape and execute our platform's evolution to a more distributed architecture, making it agentic ready for the next generation of AI applications.
In this role, you will
Technical Leadership & Architecture
Drive the ongoing transition from monolithic to distributed architecture.
Design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations.
Own technical decisions balancing immediate business needs with long-term architectural goals.
Hands-on Development
Write production-quality Python code for critical platform components.
Build and optimize distributed compute services.
Implement reliable workflow orchestration patterns.
Own CI/CD pipelines, automated testing, and deployment strategy for platform services.
Drive reliability, observability, and SRE practices (monitoring, alerting, incident response, performance and scaling).
Team Mentorship & Collaboration
Mentor senior and mid-level engineers, elevating the technical capabilities of the entire team.
Establish engineering best practices and architectural patterns.
Collaborate with product and business stakeholders to translate requirements into technical solutions.
Guide technical decision-making and prioritization across multiple teams.
Interview and onboard new engineers.
Who You Are
- 10+ years of software engineering experience, including time in a staff-level engineering role.
- Broad software engineering depth spanning deployment and CI/CD, automated testing, and production reliability (observability, incident response).
- Deep expertise in distributed systems architecture, including building and operating large-scale distributed backend systems end-to-end.
- Strong API and service interface design skills for distributed services.
- Security-minded development, including authentication/authorization (e. g., OAuth) and secure-by-default practices.
- Expert-level Python development skills with production experience at scale.
- Strong Kubernetes experience with production workloads.
- Hands-on experience with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar).
- Cloud platform expertise (AWS required, Azure & GCP beneficial).
- Experience with data processing frameworks (Spark, Athena, Ray, or similar).
- Track record of driving architectural transformations in growing companies.
- Excellence in technical communication and stakeholder management.
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.
Here are a few qualities we've found compatible with our team.
If some of this describes you, we'd love to talk.
- Technical Excellence: You write clean, maintainable code and design systems that scale.
- Operational Rigor: You care about testing, deployments, and what happens after code ships – reliability, monitoring, and on-call health.
- Pragmatic Problem-Solver: You balance perfectionism with shipping, making smart trade-offs between short-term delivery and long-term goals.
- Strong Leadership: You proactively identify problems and drive solutions forward.
- Mentorship Mindset: You elevate others through knowledge sharing and patient guidance.
- Ownership Mentality: You take full responsibility for outcomes and drive initiatives to completion.
- Customer Obsession: You understand that our success is measured by our customers' success.
Why Core Weave?
- At Core Weave, we work har
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Staff Software Engineer - Physical AI employer: CoreWeave
CoreWeave is an exceptional employer, offering a dynamic work environment in Greater London where innovation meets reliability. With comprehensive benefits such as family-level medical and dental insurance, pension contributions, and tuition reimbursement, employees are supported both personally and professionally. The company fosters a culture of growth and collaboration, ensuring that every Data Centre Technician has the opportunity to develop their skills while contributing to cutting-edge data centre operations.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer - Physical AI
✨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 Staff Software Engineer - Physical AI
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.
