Embedded Engineering

Our client, a leading financial institution, is expanding its Liquid Financing team and is looking for an experienced C++ Quant Developer (VP Level) to join their high-impact trading and technology division in New York.This is an exciting opportunity to work on low-latency algorithmic trading, build cutting-edge pricing engines, and optimize trading strategies in one of the most dynamic and fast-paced markets. You will collaborate closely with traders, quants, and technologists to enhance efficiency and manage risk.What You’ll Be Doing:✔ Developing high-performance C++ trading infrastructure✔ Designing and implementing quantitative models and trading algorithms✔ Collaborating with traders, quants, and tech teams to drive strategic innovation✔ Enhancing risk management systems and optimizing execution strategies✔ Staying ahead of industry trends and advancing market-making capabilitiesWhat We’re Looking For:✅ Strong C++ development skills with experience in low-latency trading systems✅ Background in quantitative modeling and algorithm development✅ Master’s or PhD in STEM (Mathematics, Computer Science, or related field)✅ Strong statistical and analytical mindset✅ Ability to work in a fast-paced, high-pressure environment💰 Compensation: $155,000 – $250,000 (Base) + Competitive Benefits📍 Location: New York, United StatesReady to take your career to the next level? Apply now and be part of a high-performing team at the forefront of financial technology! 🚀

We’re working with a global tech leader looking for a Senior C++ Developer to help deliver the next generation of AI-powered hardware. This role focuses on deploying AI models directly onto advanced devices and driving innovation in the field.Based in Reading, the role offers a hybrid setup with 1 day per week on-site. The contract runs until June 2025, with an expected extension up to 18 months.What You’ll Be Doing:Developing software close to the hardware, using manufacturer SDKs for optimised solutions.Prototyping new features, such as facial recognition, to enhance device accessibility.Deploying and optimising AI models (including LLMs) for local device functionality using PyTorch.Supporting CI/CD pipelines for seamless software integration.What We’re Looking For:C++ Development: 5+ years of hands-on experience.Machine Learning: Python experience with PyTorch exposure.CI/CD Systems: Jenkins knowledge is essential; Azure DevOps is a plus.Prototyping: Experience in rapidly developing and testing features.Bonus Skills:ONYX for model deployment.Hardware development or GPU experience.The Details:Location: Reading (hybrid – 1 day per week on-site).Contract: Until June 2025, likely extending up to 18 months.

Senior Robotics Manipulation EngineerSalary: up to £125,000Location: Bristol or CambridgeThe Companies Long Term Vision: Turn AI Robotics on its head.About Us:Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.The Challenge:Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.As a Senior Robotics Control Engineer, you will:Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.Develop control algorithms that effectively translate simulated environments to real-world robot behavior.Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.Qualifications:Solid understanding of control theory, with a focus on manipulation and locomotion tasks.Proficiency in Python/C++ and deep learning frameworks like PyTorch.Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.Experience working with physical robots is beneficial.Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!

Senior Robotics Manipulation EngineerSalary: up to £125,000Location: Bristol or CambridgeThe Companies Long Term Vision: Turn AI Robotics on its head.About Us:Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.The Challenge:Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.As a Senior Robotics Control Engineer, you will:Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.Develop control algorithms that effectively translate simulated environments to real-world robot behavior.Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.Qualifications:Solid understanding of control theory, with a focus on manipulation and locomotion tasks.Proficiency in Python/C++ and deep learning frameworks like PyTorch.Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.Experience working with physical robots is beneficial.Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!