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- Tasks: Develop and optimise high-performance C++ code for cutting-edge AI applications.
- Company: Join a disruptive tech company at the forefront of machine learning and GPU acceleration.
- Benefits: Enjoy a comprehensive health package, tech stipends, and generous learning budgets.
- Other info: Experience excellent career growth with mentorship from industry experts.
- Why this job: Make a real impact in AI while growing your skills in a supportive environment.
- Qualifications: 1-4 years of C++ experience and a passion for performance optimisation.
The predicted salary is between 88000 - 110000 £ per year.
Location: London, UK
About the Client:
We are partnering with an exciting, disruptive technology company working at the intersection of machine learning, high-performance computing, and GPU acceleration. The team builds performance-critical software that helps power the next generation of AI and data-driven applications across industries such as autonomous systems, healthcare, and immersive gaming. Their mission is to push the boundaries of performance in ML and AI workloads using modern software engineering practices and cutting-edge hardware. This is a great opportunity for a junior engineer with a strong foundation in modern C++ who’s excited to learn about performance optimization, GPUs, and ML systems in a supportive, high-impact environment.
The Role:
We are looking for a Junior C++ Engineer (1–4 years’ experience) to join the ML performance and optimization team. You’ll work on high-performance C++ codebases, contributing to systems that run on GPU-accelerated platforms and support machine learning workloads. This role is ideal for someone who enjoys writing clean, efficient modern C++, cares about performance, and wants to deepen their understanding of how software interacts with hardware. You’ll be mentored by experienced engineers and gradually exposed to GPU optimization, ML infrastructure, and performance-critical systems as you grow in the role.
Key Responsibilities:
- Develop and maintain modern C++ (C++17/20) code used in performance-sensitive systems
- Contribute to components that support GPU-accelerated and ML-related workloads, with guidance from senior engineers
- Profile, debug, and improve performance of existing code, with a focus on efficiency and scalability
- Collaborate with ML engineers and systems engineers to integrate and optimize new features
- Learn and apply performance best practices related to memory usage, concurrency, and parallelism
- Participate in code reviews and contribute to improving code quality and engineering standards
Skills & Experience:
- 1–4 years of professional experience in C++, with a strong grasp of modern C++ concepts
- Solid understanding of core software engineering fundamentals (data structures, algorithms, debugging)
- Interest in performance-aware programming, memory management, and efficient systems
- Familiarity with multi-threading or concurrency concepts
- Experience developing on Linux or similar environments
- Curiosity about machine learning systems, GPU computing, or high-performance software — prior experience not required
Nice to Have (Not Required):
- Exposure to GPU computing (e.g. CUDA, OpenCL)
- Familiarity with ML frameworks (e.g. PyTorch, TensorFlow) at a user or systems level
- Experience using profiling or debugging tools (e.g. perf, gdb, Nsight)
- Interest in high-performance computing, graphics, or low-level systems programming
Benefits:
- Comprehensive Health & Wellness Package, including mental health support
- Tech Upgrade Stipend for your home setup
- Learning & Development Budget for courses, mentorship, and conferences
- Quarterly Innovation Days to explore new ideas and technologies
- Adventure Days — one paid day per quarter for something you love
- Gym access, wellness retreats, and encouraged mental health days
Junior C++ Engineer (Low-Level) - up to £110k base + Bonus in London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior C++ Engineer (Low-Level) - up to £110k base + Bonus in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, tech talks, or even online webinars. You never know who might have a lead on that perfect Junior C++ Engineer role!
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving modern C++. This gives potential employers a taste of what you can do and how you tackle performance optimization.
✨Tip Number 3
Prepare for interviews by brushing up on your C++ knowledge and understanding of GPU computing. Practice coding challenges and be ready to discuss your thought process. We want to see how you think, not just what you know!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior C++ Engineer (Low-Level) - up to £110k base + Bonus in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with modern C++ and any relevant projects. We want to see how your skills align with our focus on performance optimization and GPU acceleration.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how your background fits in. Share your passion for machine learning and high-performance computing, and let your personality shine through!
Showcase Your Projects: If you've worked on any personal or academic projects related to C++, GPUs, or ML, make sure to mention them. We love seeing practical examples of your work and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our team!
How to prepare for a job interview at Hunter Bond
✨Know Your C++ Inside Out
Make sure you brush up on modern C++ concepts, especially C++17/20 features. Be ready to discuss your experience with data structures, algorithms, and any performance-aware programming you've done. This will show that you have a solid foundation and are eager to dive deeper.
✨Show Your Passion for Performance
Express your interest in performance optimization, memory management, and how software interacts with hardware. Share any personal projects or experiences where you’ve focused on efficiency and scalability, as this aligns perfectly with the role's requirements.
✨Familiarise Yourself with GPU and ML Concepts
Even if you haven't worked directly with GPUs or machine learning, do some research! Understanding the basics of GPU computing and ML frameworks like PyTorch or TensorFlow can give you an edge. It shows you're proactive and genuinely interested in the field.
✨Prepare for Technical Questions
Expect to face technical questions or coding challenges during the interview. Practice profiling, debugging, and optimising code snippets. Familiarity with tools like gdb or perf can be beneficial, so don’t hesitate to mention any experience you have with them.