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: 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 100000 - 125000 £ 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 - up to £125k base + Bonus in London employer: Hunter Bond
Join a pioneering technology company in London that thrives on innovation and collaboration, where you'll be supported by experienced engineers as you develop your skills in modern C++ and GPU optimization. With a strong focus on employee well-being, the company offers a comprehensive health and wellness package, a learning and development budget, and unique perks like Adventure Days to pursue your passions. This is an exceptional opportunity for junior engineers eager to make a meaningful impact in the rapidly evolving fields of machine learning and high-performance computing.
StudySmarter Expert Advice🤫
We think this is how you could land Junior C++ Engineer - up to £125k base + Bonus in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, tech talks, or even online webinars. The more you engage with others, the better your chances of hearing about job openings before they’re even advertised.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a GitHub profile with projects that highlight your C++ skills, especially around performance optimisation and GPU programming. This gives potential employers a taste of your coding style and problem-solving abilities.
✨Ace the Interview
Prepare for technical interviews by brushing up on your C++ knowledge and understanding core concepts like data structures and algorithms. Practice coding challenges and be ready to discuss how you’d approach performance issues in real-world scenarios.
✨Apply Through Our Website
We love seeing applications come through our website! It’s a great way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to exciting projects in ML and GPU optimisation.
We think you need these skills to ace Junior C++ Engineer - up to £125k 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 you can contribute to our mission. 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 applications of your skills, so don’t hold back!
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!
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
Since the role focuses on performance optimization, be prepared to talk about your interest in memory management, concurrency, and how software interacts with hardware. Share any relevant experiences or projects where you improved performance.
✨Familiarise Yourself with GPU and ML Concepts
Even if you haven't worked directly with GPUs or machine learning, showing curiosity can set you apart. Read up on basic GPU computing principles and ML frameworks like PyTorch or TensorFlow to demonstrate your eagerness to learn.
✨Engage in Code Reviews
Be ready to discuss your approach to code reviews and how you contribute to improving code quality. Highlight any experiences where you collaborated with others to enhance a project, as teamwork is key in this role.
