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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: Participate in innovation days and enjoy adventure days for personal pursuits.
- 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.
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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ projects, especially those related to performance optimization or GPU computing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding core concepts. Practice common algorithms and data structures, and don’t forget to review performance best practices—this is key for a role focused on efficiency!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our mission. Tailor your application to highlight your passion for machine learning and high-performance computing, and let us know why you want to join our team.
We think you need these skills to ace Junior C++ Engineer (Low-Level) - up to £110k base + Bonus in Slough
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 and any projects you've worked on that demonstrate your coding prowess.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the skills and experiences mentioned in the job description. We love seeing how you connect your background to our mission in ML and GPU optimization.
Be Curious About Learning: Express your eagerness to learn about performance optimization and machine learning systems. We’re looking for someone who’s excited to grow, so let us know how you plan to deepen your knowledge in these areas.
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 out on any important updates from 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 projects you've worked on that showcase your coding skills.
✨Show Your Passion for Performance
Demonstrate your interest in performance optimization and how software interacts with hardware. Prepare examples of how you've approached memory management or concurrency in your past work or studies.
✨Familiarise Yourself with GPU and ML Concepts
Even if you haven't worked directly with GPUs or machine learning, show your curiosity! Read up on CUDA, OpenCL, or ML frameworks like PyTorch and TensorFlow. This will help you engage in meaningful conversations during the interview.
✨Prepare for Technical Questions and Code Reviews
Expect to tackle technical questions and possibly a coding challenge. Practice profiling and debugging techniques, and be ready to discuss how you would improve existing code. This shows you're not just a coder but a problem solver too!