Junior C++ Engineer - up to £125k base + Bonus

Hunter Bond; Greater London; Presencial; GBP 35.000 - 50.000; Tempo integral

Benefícios oferecidos por esta vaga

Tech Upgrade Stipend

Learning & Development Budget

Quarterly Innovation Days

Adventure Days

Gym access and wellness retreats

Resumo da vaga

Hunter Bond is seeking a Junior C++ Engineer with 1-4 years of experience to join their ML performance team in London. This role involves developing and maintaining high-performance C++ codebases that support machine learning workloads. Ideal candidates should have a strong foundation in modern C++ and an eagerness to learn about GPU optimization and ML systems.

Candidates will receive mentorship from experienced engineers while deepening their understanding of performance-critical software in a supportive environment. Attractive perks include tech stipends and wellness programs.

Qualificações

• 1-4 years of professional C++ experience with modern concepts.
• Understanding of core software engineering fundamentals.
• Interest in performance-aware programming and efficient systems.

Responsabilidades

• Develop and maintain modern C++ code for performance-sensitive systems.
• Improve performance through profiling, debugging and collaboration.
• Participate in code reviews to enhance code quality.

Conhecimentos

C++ (1–4 years experience)

Software engineering fundamentals

Performance-aware programming

Multi-threading or concurrency

Machine learning systems

Ferramentas

CUDA

OpenCL

Profiling tools (perf, gdb)

Descrição da vaga

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
• 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