Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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: Up to £110k base salary, bonuses, gym access, and wellness retreats.
- Why this job: Make an impact in AI while learning from experienced engineers in a supportive environment.
- Qualifications: 1-4 years of C++ experience and a passion for performance optimisation.
- Other info: Enjoy adventure days, innovation time, and a strong focus on professional development.
The predicted salary is between 36000 - 60000 £ 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
- 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:
- 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
Seniority Level: Associate
Employment Type: Full-time
Job Function: Finance, Information Technology, and Research
Industries: Technology, Information and Media, Space Research and Technology, and Computers and Electronics Manufacturing
Junior C++ Engineer (Low-Level) - up to £110k base + Bonus 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly message on LinkedIn can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your C++ projects or any relevant coding challenges you've tackled. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by practicing coding problems and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence before the big day.
✨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
Some tips for your application 🫡
Show Off Your C++ Skills: Make sure to highlight your experience with modern C++ in your application. We want to see your understanding of C++17/20 concepts and how you've applied them in real-world projects. Don't be shy about sharing specific examples!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for someone who’s not just a good fit on paper but also shares our passion for performance optimisation and machine learning. Let us know why you’re excited about this opportunity!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your skills and experiences stand out!
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 don’t miss any important updates. Plus, it shows us you’re keen to join 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 understanding of data structures, algorithms, and debugging techniques, as these are crucial for the role.
✨Show Your Passion for Performance
Demonstrate your interest in performance-aware programming and memory management. Prepare examples of how you've optimised code in the past or how you would approach performance issues in a project.
✨Familiarise Yourself with GPU Computing
Even if you haven't worked directly with GPUs, showing curiosity about GPU computing and machine learning systems can set you apart. Read up on CUDA or OpenCL basics and be ready to discuss how they relate to high-performance software.
✨Engage in Code Reviews
Be prepared to talk about your experience with code reviews, whether as a reviewer or a reviewee. Highlight how you’ve contributed to improving code quality and engineering standards in previous projects.
