Junior C++ Engineer

London Source: WhatJobs

£35,000–£50,000

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