Hardware system architecture and subsystem interface protocols. x86, ARM or GPU architecture, drivers, and applications. Linux and/or Windows kernel debugging. Functional modeling, architecture simulation, or hypervisor development. QEMU, VirtualBox, or SIMICS. ACADEMIC CREDENTIALS: Bachelor's or M aster's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Benefits offered are described: AMD benefits at a glance More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Arm Limited
tools, sanitisers, or security research publications. Knowledge ofdistributed fuzzing at scale (GCP/AWS, Kubernetes, or bare-metal clusters). Familiarity with kernel, embedded, or firmware fuzzing (e.g., Syzkaller, QEMU-based harnesses). Background in reverse engineering, static analysis or symbolic execution. Experience integrating fuzzing intoCI/CD pipelines and tracking coverage metrics. If you're passionate about breaking software More ❯
and we also create RISC-V binaries that will run on our bespoke hardware. Cocotb, Verilator, and Icarus Verilog are used to build and simulate the RTL. SystemC, Docker, QEMU and Linux buildroot are used for simulation. Our compiler is built using MLIR. Everything mentioned here is configured, built and tested using Bazel and we run a shared CI between More ❯
developing Virtual Platforms or Simulators Open Source Development experience Experience in Unit Testing Continuous Integration ARM Fast Models Server Architecture (RAS, Manageability) Top Preferred Skills 1. SystemC TLM or QEMU 2. Modern C++ 3. ARM Architecture (CPU, GIC, CoreSight Debug) 4. Firmware and/or Device Driver Development and Debug 5. Git Revision Control Technologies: Virtual Platform, SoC Architecture, CPU More ❯
Engineering or Computer Science. Preferred Qualifications Automation advocate - you truly believe in removing operational load via software Design and deploy VM and container infrastructure using platforms such as KVM, Qemu, AWS, or Google Cloud. Experience with Openstack or Cloudstack, Puppet or Chef More ❯
to rapidly prototype within the AWS cloud. Strong capability with Linux, load balancing and system and application security. Good working knowledge of private cloud technologies such as LinuxKVM/QEMU & VMWare. Good working knowledge of MySQL/MariaDB and other data stores such as Redis, Memcache and DynamoDB. Knowledge of CI/CD pipelines, particularly Github actions and code quality More ❯
