Future Tech Jobs
Future Tech Jobs
You will design and implement new features to accelerate network and storage in the Kubernetes ecosystem, working closely with open source communities and various NVIDIA teams. The role involves deep technical work with NVIDIA's advanced cloud platforms and a focus on high-performance, scalable solutions.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed, profiling deep learning workloads, and removing bottlenecks for NVIDIA's Cosmos platform, which accelerates physical AI development for autonomous vehicles, robots, and video analytics.
This role involves validating software releases for humanoid robots, running end-to-end tests, and collecting performance metrics. You will work closely with the Test Team to ensure each new software version meets quality standards before deployment, and help build a robust data pipeline for continuous improvement.
This role involves designing, building, and commissioning test rigs and jigs to validate subsystems and full robots. You will work closely with systems owners to define validation requirements, source parts, and manage suppliers, while ensuring the test infrastructure aligns with product release timelines.
As a Graduate Verification & Validation Engineer, you will work hands-on with cutting-edge robotic systems, supporting the testing and validation of software and hardware. You'll collaborate with cross-functional teams to improve testing procedures, capture and analyse test data, and contribute to continuous product improvement.
This role involves designing bespoke electrical control systems for industrial automation machinery, including control panels, electrical schematics, and wiring diagrams. You will work closely with mechanical, software, and production teams to deliver high-quality machinery from concept to commissioning, ensuring compliance with relevant standards and supporting panel build and testing.
As a Machine Learning Engineer - Robotics & Perception, you will design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction. You will work closely with cross-functional teams to integrate perception modules into broader system architectures, optimizing and deploying models to edge computing platforms.
Job Title: Project & Automation EngineerSalary: £55,000 - £60,000Location: NottinghamJob Type: Full-time, Permanent (direct with employer)OverviewThe Flavour Network are partnering with a fast-growing food manufacturer in Nottingham to recruit a Project & Automation Engineer.This role suits a genuine “tinkerer” who...
Senior Embedded Software Engineer | £60-70k | St. IvesIf you want to develop yourself from a Senior to a Lead engineer with a leading company developing extremely precise systems. This is the role for you.Platform Recruitment is partnered with a...
In this role, you will support the design, assessment, and implementation of process control changes across DCS and PLC systems. You will work with technical teams, project teams, and third-party developers to ensure control system modifications are robust, documented, and approved, while promoting a culture of safety and high performance.
The role involves performing electrical maintenance, fault finding, and planned preventative maintenance on production and process equipment in a fast-paced manufacturing environment. The position offers opportunities for skill enhancement and career progression within a company that invests heavily in technology and employee development.
This role involves building, testing, and improving production-grade deep learning models for computer vision tasks such as classification, detection, segmentation, and tracking. You'll work closely with a multidisciplinary team to develop and deploy CV/ML pipelines to cloud and edge platforms, manage datasets, and stay current with emerging tools and best practices.
This role involves owning and evolving the connectivity stack for Dexory's global robot fleet, including mesh VPN, industrial routers, Wi-Fi, and cellular connectivity. You will build and automate tooling to manage and scale the fleet, improve observability, and streamline deployment processes.
Develop embedded C software for mission-critical vehicle platforms operating in real-time environments, working closely with hardware and systems teams throughout the full development lifecycle. Engage in requirements capture, architecture, implementation, testing, and integration, with a focus on reliability and performance under tight constraints. Collaborate across multidisciplinary teams in an agile environment where technical ownership and pragmatic problem-solving are essential.
This role involves leading the design, integration, and validation of advanced electrical systems for maritime platforms. You will work closely with cross-functional teams to ensure seamless system integration, develop and test prototypes, and produce detailed technical documentation.
