8 of 8 Permanent Virtual Machines Jobs in Cambridge

Strong Python experience for building developer tooling and data‐processing workflows Experience building JavaScript or TypeScript frameworks or working on JS virtual machines and runtimes Working knowledge of memory management, threading, concurrency, and debugging Experience improving CI pipelines, including validation and quality gates Familiarity with logging, telemetry ...

against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro-VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation ...

Express Link (CXL), memory and virtualization. Familiarity with the Linux kernel, Trusted Firmware-A (TF-A), UEFI EDK II, OpenBMC or Kernel-based Virtual Machine (KVM). An ideal candidate would have acted in technical lead capacity for teams of 100+ engineers within SoC space. In Return ...

C++ (or Rust) , with the ability to work productively in a large, performance‐critical codebase. Hands‐on performance work in a language runtime, VM or compiler backend, with measured speedups you can walk us through in detail (for example V8, JavaScriptCore, SpiderMonkey, HotSpot, PyPy, LuaJIT, CPython, or an LLVM backend ...

against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro-VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation ...

against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro‐VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation ...

Useful Skills Understanding of RF systems (e.g. transmitters, receivers, antennas, and propagation) Set up, configure and PervasID RFID reader systems in customer environments (eg VM in cloud or on-premises) Understanding of IP network Desire to learn and understand in customer system architecture Essential Attributes Must be organized and have ...

Isolation at GPU speed: run untrusted agent code on GPUs inside microVMs (Firecracker, Cloud Hypervisor, KVM) with GPU passthrough, and lighter sandboxes where a VM is too heavy. Instant starts: snapshot and restore whole machines (memory, filesystem, environment) so a job lands on a warm GPU in seconds … reliability and data location, with queueing, gang scheduling, preemption and fair share. Coordination that survives failure: leases, fencing, reconciliation and exactly-once metering across machines and clouds that fail independently. Data at the GPU: stage images, environments and datasets ahead of the job, with content-addressed caches and lazy ...