C++ Engineer (Low-Level) - up to £175k base + HUGE bonus

C++ Engineer (Low-Level) - up to £175k base + HUGE bonus

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Location: London, UK

About the Client:

We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine learning algorithms and computational models, powering the next wave of AI and data-driven applications.

Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level systems programming and ML optimization to be part of a team that is reshaping the future of technology.

The Role:

We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the ML optimization team, you will be responsible for developing and fine-tuning GPU-level solutions that accelerate machine learning training and inference. This involves working on the GPU hardware, optimizing the underlying C++ code, and pushing the performance of ML algorithms to new heights.

Your work will directly contribute to optimizing ML workloads on GPUs, enabling faster, more efficient computation for large-scale data processing and AI model training. If you’re eager to work at the intersection of low-level GPU programming and machine learning, this is the role for you.

Key Responsibilities:

• Develop and optimize low-level C++ code for GPU hardware to accelerate machine learning workloads.
• Work closely with ML engineers to implement GPU-level optimizations for ML model training and inference, focusing on speed and efficiency.
• Profile and optimize ML workloads running on GPUs, focusing on memory management, parallelization, and performance tuning.
• Develop and optimize custom GPU drivers and frameworks for ML-specific tasks, including model training, AI inference, and data preprocessing.
• Collaborate with data scientists and researchers to integrate new machine learning algorithms and enhance their GPU acceleration.
• Stay up to date with the latest GPU architecture and machine learning advancements, applying new techniques to optimize system performance.

Skills and Experience:

• Proficiency in C++ with a strong focus on memory management, multi-threading, and low-level performance optimizations.
• Experience with GPU architectures (e.g., NVIDIA, AMD) and programming frameworks like CUDA, OpenCL, and TensorFlow.
• Understanding of machine learning algorithms, including model training and inference, and how to optimize these for GPU-based computation.
• Strong knowledge of parallel computing, vectorization, and multi-core systems for high-performance computing (HPC).
• Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment.
• Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a plus.
• Strong problem-solving skills and a keen interest in optimizing systems for ML workloads.
• A passion for machine learning, AI, and innovative technology.

Nice to Have:

• Experience with high-performance computing (HPC) and large-scale distributed systems.
• Knowledge of AI/ML libraries such as cuDNN, TensorRT, or other GPU-accelerated libraries.
• Familiarity with low-level debugging tools and profiling techniques for performance tuning of machine learning models.
• Exposure to system-level programming on Linux or similar environments.
• Comprehensive Health & Wellness Package: From mental health support to personalized fitness programs and wellness retreats.
• Tech Upgrade Stipend: Receive an annual allowance to upgrade your personal tech setup, whether it's a new laptop, monitor, or VR headset.
• Learning & Development: Access exclusive technical courses, mentorship opportunities, and industry conferences.
• Innovation Days: Enjoy quarterly "Innovation Days" to explore personal projects, experiment with new technologies, or learn something new.
• Adventure Days: Take one paid day each quarter to engage in an activity that excites you — whether it’s exploring London’s best hidden spots or trying a new hobby.
• Wellness Perks: Enjoy unlimited access to the gym, yoga studio, and wellness retreat days. Plus, mental health days are encouraged and supported.

Why This Role?

This is a unique opportunity to work at the cutting edge of machine learning optimization on GPUs. You’ll be part of an innovative team working on groundbreaking projects, directly influencing the future of AI and ML technologies. With an environment that encourages creativity and collaboration, this role offers a perfect balance between technical challenge and personal growth.

If you're passionate about optimizing machine learning models, accelerating data-driven technologies, and working with the latest GPU hardware, we want to hear from you.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance, Information Technology, and Research

• Industries

  Technology, Information and Media, Space Research and Technology, and Computers and Electronics Manufacturing

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