At a Glance
- Tasks: Develop and optimise C++ and Python software for Machine Learning workloads.
- Company: Join Arm, a leader in AI and compute technology.
- Benefits: Enjoy hybrid working, continuous learning, and a comprehensive benefits package.
- Other info: Collaborative environment with opportunities for career growth and technical leadership.
- Why this job: Work on cutting-edge ML projects and tackle complex engineering challenges.
- Qualifications: Strong C++ skills and experience with Machine Learning frameworks like PyTorch.
The predicted salary is between 63000 - 77000 £ per year.
We’re building software that helps Machine Learning and AI workloads run efficiently on the next generation of Arm compute platforms. Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical experience with Machine Learning frameworks such as PyTorch. The work sits at the intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ML software stack.
The team develops and optimises C++ and Python software for Machine Learning workloads, working closely with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved. The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges and support the development of other engineers.
What We're Looking For:
- Professional C++ development and complex software systems.
- Machine Learning frameworks or tooling such as PyTorch.
- Python for software development, ML tooling, testing or automation.
- Debugging, performance analysis and solving complex software problems.
- Collaborative software development using source control, code review, testing and continuous integration.
Experience across every part of the ML software stack isn't expected. Knowledge of ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation or hardware acceleration would be valuable, but we encourage applications from people whose experience doesn't cover every area.
At Arm, you'll work with engineers solving challenging problems across AI, software and hardware, with opportunities to learn from specialists across our global engineering community. We support continuous learning and career development, alongside a collaborative working environment and a comprehensive range of employee benefits.
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs.
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Ready to help shape how Machine Learning runs on future compute platforms? We'd love to hear from you!
Senior Machine Learning Software Engineer employer: Camwebdir
Arm is an exceptional employer that fosters a diverse and inclusive work culture, encouraging collaboration across multiple countries in western Europe. With flexible working practices and a strong commitment to employee wellbeing, we empower our teams to shape the future of AI on edge devices while providing ample opportunities for professional growth and influence within the tech community. Join us to be part of a pioneering team that values innovation and supports your journey in the rapidly evolving field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Software 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 Camwebdir 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 Camwebdir.
✨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 Camwebdir.
✨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 Camwebdir 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 Senior Machine Learning Software 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 Camwebdir.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Camwebdir 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 Camwebdir
✨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 Camwebdir 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.
