Job Summary: We are seeking a talented and driven AI Developer on behalf of our client to join the team focusing on developing cutting-edge AI/ML solutions for mobile devices in the next generation wireless networks. Responsibilities: Design and develop efficient AI/ML models and applications for deployment on mobile devices and user equipment. Utilize state-of-the-art deep learning architectures like ResNets, Transformers, and other neural network models, optimizing them for ondevice performance and energy efficiency. Integrate and optimize AI/ML models with mobile device hardware, including GPUs, specialized AI accelerators, and Embedded systems. Analyze and evaluate the performance of AI/ML models using various datasets and metrics, iterating and refining the models as needed. Qualifications: Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Control Theory, or related field with a strong focus on AI/ML. Extensive hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python. Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model deployment. Familiarity with mobile device platforms, Embedded systems, and hardware acceleration for AI/ML workloads. Knowledge of communication systems like 5G-NR and baseband signal processing algorithms is a strong plus. Excellent problem-solving skills, with the ability to handle challenges, work under pressure, and deliver results in a team-based environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional and international teams. Industry experience in AI/ML or wireless communications is desirable but not mandatory. Demonstrated ability to learn quickly and adapt to new technologies and challenges.
24/04/2024
Job Summary: We are seeking a talented and driven AI Developer on behalf of our client to join the team focusing on developing cutting-edge AI/ML solutions for mobile devices in the next generation wireless networks. Responsibilities: Design and develop efficient AI/ML models and applications for deployment on mobile devices and user equipment. Utilize state-of-the-art deep learning architectures like ResNets, Transformers, and other neural network models, optimizing them for ondevice performance and energy efficiency. Integrate and optimize AI/ML models with mobile device hardware, including GPUs, specialized AI accelerators, and Embedded systems. Analyze and evaluate the performance of AI/ML models using various datasets and metrics, iterating and refining the models as needed. Qualifications: Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Control Theory, or related field with a strong focus on AI/ML. Extensive hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python. Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model deployment. Familiarity with mobile device platforms, Embedded systems, and hardware acceleration for AI/ML workloads. Knowledge of communication systems like 5G-NR and baseband signal processing algorithms is a strong plus. Excellent problem-solving skills, with the ability to handle challenges, work under pressure, and deliver results in a team-based environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional and international teams. Industry experience in AI/ML or wireless communications is desirable but not mandatory. Demonstrated ability to learn quickly and adapt to new technologies and challenges.
Job Title Embedded Firmware Developer Benefits - Pension, Life Insurance, Health Care, Dental, Gym, Birthday Benefits, 25 days annual leave, Fitness Classes, & Progression Location Paignton, Devon The Client Curo are Partnering with a Global Company who deliver their B2B Customers cutting-edge technology. They offer a collaborative and friendly environment, and benefit from excellent retention. The Role Our client is looking for a Real Time/C/C++ Embedded Firmware Developer. The successful candidate will possess strong technical know-how with business acumen. The role will form part of the core Engineering team and will support requirements for current and future programs and product delivery. This includes system design, functionality, and scope, plus support to product development and planning. You will be experienced in delivery of Real Time software solutions, as well as a firm grasp of their technologies, platforms, communication protocols and applications, and have intimate knowledge of how best to customise these attributes to their business to help them become more secure and efficient. Key Responsibilities Working in Tandem with their engineering team, understanding and analysing requirements to identify and implement the most optimal Real Time solutions for the company. Modelling, designing and developing the Real Time software architecture and relevant applications. Liaising with both software and hardware functions to ensure the optimal design process. Support of development and deployment of products as needed in accordance with best practices throughout the development life cycle. Orchestrating and automating built in test use throughout the company's product range. Educating teams on the implementation of new Real Time software initiatives, providing associated training as required. Employing exceptional problem-solving skills, with the ability to see and solve issues, particularly through design. Using your knowledge of APIs to design product, and integrate them with existing product. Develop best practices for design, development and qualification of Real Time solutions. Stay current with industry trends, making recommendations as needed to help the company excel. Education Bachelors degree in Software Engineering, Computer Engineering, Computer Science, or a similar discipline preferred Job Requirements Demonstrable experience in developing software using C++. Python advantageous Team player with highly collaborative and positive attitude Excellent interpersonal communication, problem solving, presentation and analytical skills Eager to learn new technologies, self-motivated, energetic approach Desired Experience working with Linux/UNIX, Windows, LTTng, Jenkins Experience with GPU technologies, CUDA Experience in Containerisation Experience with RF design Strong awareness of networking and Internet protocols, including TCP/IP, DNS, SMTP, HTTP and distributed networks Experience with open-source technology, software development and system engineering Candidates with a background in GNSS Positioning would be ideally suited to this role To apply for this Embedded Firmware Developer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
23/04/2024
Full time
Job Title Embedded Firmware Developer Benefits - Pension, Life Insurance, Health Care, Dental, Gym, Birthday Benefits, 25 days annual leave, Fitness Classes, & Progression Location Paignton, Devon The Client Curo are Partnering with a Global Company who deliver their B2B Customers cutting-edge technology. They offer a collaborative and friendly environment, and benefit from excellent retention. The Role Our client is looking for a Real Time/C/C++ Embedded Firmware Developer. The successful candidate will possess strong technical know-how with business acumen. The role will form part of the core Engineering team and will support requirements for current and future programs and product delivery. This includes system design, functionality, and scope, plus support to product development and planning. You will be experienced in delivery of Real Time software solutions, as well as a firm grasp of their technologies, platforms, communication protocols and applications, and have intimate knowledge of how best to customise these attributes to their business to help them become more secure and efficient. Key Responsibilities Working in Tandem with their engineering team, understanding and analysing requirements to identify and implement the most optimal Real Time solutions for the company. Modelling, designing and developing the Real Time software architecture and relevant applications. Liaising with both software and hardware functions to ensure the optimal design process. Support of development and deployment of products as needed in accordance with best practices throughout the development life cycle. Orchestrating and automating built in test use throughout the company's product range. Educating teams on the implementation of new Real Time software initiatives, providing associated training as required. Employing exceptional problem-solving skills, with the ability to see and solve issues, particularly through design. Using your knowledge of APIs to design product, and integrate them with existing product. Develop best practices for design, development and qualification of Real Time solutions. Stay current with industry trends, making recommendations as needed to help the company excel. Education Bachelors degree in Software Engineering, Computer Engineering, Computer Science, or a similar discipline preferred Job Requirements Demonstrable experience in developing software using C++. Python advantageous Team player with highly collaborative and positive attitude Excellent interpersonal communication, problem solving, presentation and analytical skills Eager to learn new technologies, self-motivated, energetic approach Desired Experience working with Linux/UNIX, Windows, LTTng, Jenkins Experience with GPU technologies, CUDA Experience in Containerisation Experience with RF design Strong awareness of networking and Internet protocols, including TCP/IP, DNS, SMTP, HTTP and distributed networks Experience with open-source technology, software development and system engineering Candidates with a background in GNSS Positioning would be ideally suited to this role To apply for this Embedded Firmware Developer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Digital Research Infrastructure Engineer - Linux Specialist PML operations grade 4 £30000 - £45000 DOE Full Time Open Ended Appointment The Role We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science. About You You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these. Skills Required Linux systems administration and monitoring Linux scripting (e.g., bash and Python) Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3. Cybersecurity (Understand and apply best practices) Container technologies (Docker and Kubernetes) High performance Computing (Slurm) Virtualisation (VMWare) Key Deliverables Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed. Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem). Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training. Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services. Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users. About PML As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas. To support PML s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
12/04/2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist PML operations grade 4 £30000 - £45000 DOE Full Time Open Ended Appointment The Role We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science. About You You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these. Skills Required Linux systems administration and monitoring Linux scripting (e.g., bash and Python) Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3. Cybersecurity (Understand and apply best practices) Container technologies (Docker and Kubernetes) High performance Computing (Slurm) Virtualisation (VMWare) Key Deliverables Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed. Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem). Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training. Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services. Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users. About PML As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas. To support PML s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.