At a Glance
- Tasks: Design and optimise AI runtimes for high-performance computing across various hardware platforms.
- Company: Join Modular, a cutting-edge tech company revolutionising AI deployment.
- Benefits: Competitive salary, comprehensive healthcare, stock options, and professional development opportunities.
- Other info: Dynamic team culture with excellent growth potential and regular team-building events.
- Why this job: Make a real impact in AI technology while collaborating with top industry talent.
- Qualifications: 2+ years in high-performance computing, C++ expertise, and a passion for problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
About the role: ML developers today face significant friction when deploying trained models. They work in a fragmented space with incomplete, patchwork solutions that require extensive performance tuning and model-specific optimizations. At Modular, we are building the next-generation AI platform that will radically improve how developers build and deploy AI models. A core part of this offering is a platform that enables customers to achieve state-of-the-art performance across model families and frameworks. As an AI Runtime Engineer, you will own a runtime that operates on various CPU, GPU, and accelerator hardware platforms, optimizing performance for diverse customer AI models.
LOCATION: Candidates based in the United Kingdom are welcome to apply. This role will be based in our Edinburgh office (minimum 3 days per week on-site) with relocation assistance provided for eligible candidates. All new hires complete onboarding in-person.
What you will do:
- Design and develop runtime and cross-stack optimizations to improve CPU, GPU, and accelerator efficiency, addressing issues such as CPU overhead, caching, and data locality across multiple devices.
- Work with vendor-specific networking libraries to unlock high performance data transfer for multiple topologies.
- Collaborate with the compiler, kernels, serving, and models teams to design core technologies that achieve state-of-the-art end-to-end performance on various CPU and GPU hardware.
- Collaborate with the customer success team and engage with customers to understand their performance requirements and use cases.
- Collaborate with tooling and infrastructure teams to design systems for automated performance analysis and benchmarking.
What you bring to the table:
- 2+ years of experience working on high-performance computing systems.
- Experience in C++ programming and complex software systems.
- Experience with CPU or GPU runtime optimizations and performance analysis on CPUs, GPUs, or AI accelerators.
- Proficiency with one or more profiling tools (CPU or GPU).
- Creativity and curiosity for solving complex problems, a team-oriented attitude that enables you to work well with others, and alignment with our culture.
Helpful, but not required:
- Experience with ML graph optimizations, parallel / distributed programming, heterogeneous ML computation, and/or code generation.
- Exposure to MLIR, LLVM, and/or the Mojo programming language.
- Advanced degree in Computer Science or a related area is a plus.
What Modular brings to the table:
- Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
- World-class Benefits. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities.
- Competitive Compensation. We offer very strong compensation packages, including RSU grants.
- Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.
Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.
The estimated base salary range for this role to be performed in the United Kingdom, is £82,800.00 - £123,600.00 GBP. The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation.
For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have upcoming openings that are lower/higher level than the ones advertised.
AI Runtime Engineer employer: Modular
At Modular, a Qualcomm company, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. With a strong focus on professional growth, we offer comprehensive benefits, including competitive compensation, healthcare coverage, and opportunities for learning and development, all within a collaborative environment in our Edinburgh office. Join us to be part of a passionate team dedicated to revolutionising AI infrastructure and making a meaningful impact in the world.
StudySmarter Expert Advice🤫
We think this is how you could land AI Runtime Engineer
✨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 Modular 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 Modular.
✨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 Modular.
✨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 Modular 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 AI Runtime Engineer
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 Modular.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Modular 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 Modular
✨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 Modular 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.
