At a Glance
- Tasks: Design and implement cutting-edge software for machine learning and graphics technologies.
- Company: Join a diverse and innovative tech company leading the future of computing.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborate with a global team on exciting open-source projects.
- Why this job: Be at the forefront of machine learning and make a real impact on next-gen technology.
- Qualifications: Strong C++ skills, experience in software development, and a passion for learning new tech.
The predicted salary is between 73500 - 99500 £ per year.
The company’s Central Engineering Machine Learning Group is seeking highly motivated and creative Software Engineers to join a cross-site and multi-culture software team. This role presents an excellent opportunity to move into machine learning, the key development for the future of computing. Working on the groundbreaking company technology, you will be crafting the software that powers the next generation of mobile apps, portable devices, game development and much more. You will work on an open-source project that helps developers integrate and deploy machine learning workloads through Vulkan, enabling portable development across a wide range of platforms and devices. This is an opportunity to work at the intersection of machine learning, graphics and compute APIs, compilers, runtime libraries, developer tooling, and next-generation GPU/NPU hardware.
Responsibilities
- As a Senior Software Engineer your role will be to design and implement a Software Development Kit (SDK), ensuring that it meets all the needs from various users. This includes various areas such as ML compiling technologies and high-performance ML runtime libraries targeting next-generation GPU hardware.
- More than anything else, you must have a willingness to learn new techniques and develop new technologies.
Required Skills and Experience
- Strong software engineering skills with extensive modern C++ experience and solid scripting skills, preferably Python.
- Experience in designing, developing, debugging, and maintaining production-quality software.
- Good understanding of the software development lifecycle, code review, CI, testing, and agile development practices.
- Ability to work across different development platforms, such as Linux, Android, emulators, software models.
- Ability to learn new technologies quickly and apply them to various engineering problems.
- Good written and spoken communication skills in English to be able to collaborate with various teams.
Nice to Have Skills and Experience
- Open-source software development of large projects with complex dependency, including public code reviews, documentation, release notes, issue tracking, and community engagement.
- Vulkan or other low-level graphics and compute APIs, such as OpenCL, CUDA, DirectX, or Metal.
- Machine learning frameworks, inference runtimes, model formats, or model conversion tooling.
- CMake, cross-compilation, packaging, dependency management, or developer tooling.
- Performance analysis, profiling, optimization, or benchmarking.
- Android, embedded Linux, mobile platforms, software models, emulators.
Salary £73,500-£99,500 per year
Equal Opportunities
The company 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.
Machine Learning Senior Software Engineer in Cambridge employer: United States Digital Space LLC
Join a forward-thinking company that champions innovation and diversity, offering a collaborative work culture where creativity thrives. As a Senior Software Engineer in our Central Engineering Machine Learning Group, you'll have the unique opportunity to work on cutting-edge technology that shapes the future of computing, with ample opportunities for professional growth and development. Enjoy competitive salaries, a commitment to equal opportunities, and the chance to contribute to impactful open-source projects in a dynamic, multi-cultural environment.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Senior Software Engineer in Cambridge
✨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 United States Digital Space LLC 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 United States Digital Space LLC.
✨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 United States Digital Space LLC.
✨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 United States Digital Space LLC 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 Machine Learning Senior Software Engineer in Cambridge
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 United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC
✨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 United States Digital Space LLC 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.
