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Location: Cambridge, Cambridgeshire, United Kingdom
Type: Temporary
Job #25413
Our client, a leading technology company focused on building innovative social media platforms, virtual reality experiences, and digital communities to connect people worldwide, is looking for a passionate
Embedded Systems Engineer to join their dynamic team for a 12-month PAYE contract remotely in the UK . You’ll play a key role in implementing and optimizing cutting-edge audio features for resource-constrained devices. Job Type:
12-month PAYE contract (possibility of extension) Salary range:
starting from 126K yearly gross pro-rata Working Model:
Remote Visa Sponsorship:
Not offered Job Reference:
BBBH 25413 Responsibilities and day-to-day tasks:
Be an active participant in Scrum meetings and planning sessions, contributing to project roadmaps and task prioritization. Implement and optimize audio processing algorithms in C/C++. Translate analog models from research engineers into efficient C/C++ code. Fine-tune code for optimal CPU performance and memory usage on embedded devices. Collaborate with researchers to translate machine learning models from MATLAB simulations to real-world embedded systems. Analyze performance on a high-powered test device, identifying opportunities to optimize code for the final, resource-constrained embedded device. Provide feedback to researchers on device limitations and potential optimization strategies. Work iteratively with the research team to refine audio features and explore new possibilities. All projects will focus on implementing innovative audio features on small, embedded devices. Your expertise will be crucial in analyzing feasibility and writing efficient code to bring these features to life. Requirements:
7+ years of relevant development experience Expert knowledge in embedded software development in C/C++. Knowledge of interfacing with and optimizing code for execution on DSPs. Knowledge of the full software development lifecycle: from requirements gathering to development, testing, and delivery. Expert ability to troubleshoot issues and make system changes as needed to resolve issues. Experience working with audio or machine learning is a nice to have.
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Embedded Systems Engineer to join their dynamic team for a 12-month PAYE contract remotely in the UK . You’ll play a key role in implementing and optimizing cutting-edge audio features for resource-constrained devices. Job Type:
12-month PAYE contract (possibility of extension) Salary range:
starting from 126K yearly gross pro-rata Working Model:
Remote Visa Sponsorship:
Not offered Job Reference:
BBBH 25413 Responsibilities and day-to-day tasks:
Be an active participant in Scrum meetings and planning sessions, contributing to project roadmaps and task prioritization. Implement and optimize audio processing algorithms in C/C++. Translate analog models from research engineers into efficient C/C++ code. Fine-tune code for optimal CPU performance and memory usage on embedded devices. Collaborate with researchers to translate machine learning models from MATLAB simulations to real-world embedded systems. Analyze performance on a high-powered test device, identifying opportunities to optimize code for the final, resource-constrained embedded device. Provide feedback to researchers on device limitations and potential optimization strategies. Work iteratively with the research team to refine audio features and explore new possibilities. All projects will focus on implementing innovative audio features on small, embedded devices. Your expertise will be crucial in analyzing feasibility and writing efficient code to bring these features to life. Requirements:
7+ years of relevant development experience Expert knowledge in embedded software development in C/C++. Knowledge of interfacing with and optimizing code for execution on DSPs. Knowledge of the full software development lifecycle: from requirements gathering to development, testing, and delivery. Expert ability to troubleshoot issues and make system changes as needed to resolve issues. Experience working with audio or machine learning is a nice to have.
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