Digital Hardware Design Specialist for AI Technologies (Apply in minutes)
## **Job Description:** Are you passionate about digital hardware design? This is a fantastic opportunity to move into Machine Learning and Artificial Intelligence, key technologies for the future of computing. Working on the cutting edge of Arm IP, you will take part in crafting technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more! This position can offered in either Lund, Sweden or Cambridge, UK ## **Responsibilities:** As part of our growing and versatile team, you’ll contribute to the development and verification of groundbreaking ML and Neural Network hardware. Collaborating with experts across global design centers, you’ll drive impactful projects and help deliver Arm’s next-generation IP using the most sophisticated tools and methodologies. As a design engineer you will make a difference by working on design activities throughout all stages of the project. Your work will involve RTL specifications, defining design tasks for the project, taking ownership of complex work packages and driving them to success, including front-end implementation tasks like synthesis, logic equivalence check, power analysis and optimizations. ## **Required Skills and Experience :**
- An understanding of the entire ASICFPGA design flow and knowledge of hardware description languages: Verilog or System Verilog.
- Confirmed delivery record of high quality, low power, high performance sophisticated micro-architecture and RTL implementations in reasonable timescales.
- Experience in planning the design process and making realistic effort and timescale estimates.
- Experience with low power design techniques and power aware verification.
- Experience in working with requirements definition and requirement management.
- Experience in block level, unit level and system level verification, using methodologies like UVM.
- Formal verification experience.
- Experience in building CC++ based models of a microarchitecture.
- Knowledge of the Arm architecture and AMBA bus system.
- Continuous integration platforms such as Jenkins, version control tool git.
- Hands-on experience of machine learning and neural networks.
- Company
- ARM
- Location
- Cambridge, Cambridgeshire, UK
Hybrid / WFH Options - Employment Type
- Full-time
- Posted
- Company
- ARM
- Location
- Cambridge, Cambridgeshire, UK
Hybrid / WFH Options - Employment Type
- Full-time
- Posted