Future Tech Jobs
Future Tech Jobs
NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solutions Architect with deep expertise in Diffusion Models. You will work as the primary technical specialist for selected NVIDIA customers. Your task is to help our customers and make their solutions...
This role involves leading the research, design, and implementation of security architecture for NVIDIA's next-generation networking products. You will collaborate with diverse teams to meet security requirements, develop hardware and software solutions, and work with partners on open-source software and trusted platforms.
Be visionaryTeledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil...
This Engineering Intern role at Teledyne FLIR in Lincoln involves hands-on participation in the design, development, and manufacturing support of custom RF and electronic systems. You'll work within a multidisciplinary team to design circuits, support production transfer, conduct fault-finding, and contribute to technical documentation and design reviews. The position emphasizes practical application of engineering theory in a high-reliability environment focused on advanced RF technology.
As a Senior Machine Learning Engineer, you will develop and optimize AI models for Graphcore's specialized hardware, working on large-scale systems where performance is critical. You will collaborate with the Software and Research teams to innovate and differentiate Graphcore’s technology, contributing to the advancement of AI models and their efficient implementation.
As a Senior Machine Learning Engineer, you will develop and optimize AI models for Graphcore's specialized hardware, working on large-scale systems and collaborating with software and research teams. Your role involves implementing the latest machine learning models, benchmarking performance, and contributing to the advancement of AI technology.
This role involves deep technical work on GPU compute optimization using Vulkan across Windows, Linux, and ChromeOS, focusing on enabling and enhancing performance for ISVs and open-source projects on Intel platforms. The engineer will develop prototypes, conduct performance analysis, and collaborate closely with internal teams and external partners to optimize workloads in areas like AI/ML, media, and productivity. The position emphasizes low-level software-hardware interaction and cross-platform development to drive adoption of Intel's GPU technologies.
Senior Packaging / Principal Packaging Engineer (GaN)Team –R&D EngineeringLocation –Cambridge, UKContract –Full-time, PermanentAbout CGDMaking Sustainable Power Electronics PossibleA spin-out of the Cambridge University, Cambridge GaN Devices (CGD) is a fabless semiconductor company that develops a range of energy-efficient GaN-based power...
Packaging Engineer (GaN)Team –R&D EngineeringLocation –Cambridge, UKContract –Full-time, PermanentAbout CGDMaking Sustainable Power Electronics PossibleA spin-out of the Cambridge University, Cambridge GaN Devices (CGD) is a fabless semiconductor company that develops a range of energy-efficient GaN-based power devices to make greener...
This role involves deep software engineering and optimization work on GPU-accelerated video technologies, focusing on hardware-accelerated encode, decode, and transcode pipelines using Intel® Quick Sync Video and modern codecs. You'll contribute directly to open-source projects like FFmpeg and HandBrake, collaborate with media communities and ISVs, and influence Intel's media technology roadmap through performance analysis, upstream contributions, and technical leadership across Linux and Windows platforms.
As a Hardware Development Engineer, you will design, debug, and optimize advanced processor systems for AI workloads. You will collaborate with silicon, architecture, and software teams to solve complex engineering problems and ensure system performance and reliability.
This role involves hands-on system validation and debugging of Graphcore’s silicon platforms, working closely with architecture, silicon, hardware, and firmware teams. You will tackle complex hardware challenges, drive root-cause analysis, and bring new platforms to life, contributing directly to the quality and performance of AI hardware.
As a Power Integrity Engineer, you will shape the power delivery architecture for next-generation AI compute systems, working across silicon, package, PCB, and system designs. You will model and analyse complex power delivery networks, optimise decoupling strategies, and collaborate with chip, package, and board teams to improve design and performance.
