Software Engineer, Virtual Platforms

- Bachelor's/Master's degree in Computer Science, Electrical Engineering, or related disciplines
- Knowledge of computer architecture (CPUs, networking, protocols)
- Good understanding of hardware and software interaction
- 5+ years of experience in software development, preferably in C/C++
- Strong knowledge of programming languages and concepts (OOP, OOD, data structures)
- Experience with modeling languages such as SystemC
- Experience with Virtual Platform tools
- Verification experience (UVM)
- Knowledge of ARM architecture

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Annapurna Labs develops innovative hardware solutions that powers the world's largest cloud infrastructure. We design custom silicon, including the Graviton processors and Nitro System components that underpin modern cloud computing. Our technologies are at the core of Amazon Web Services (AWS), powering their most critical services. We operate with the agility and ambition of a start-up, backed by the scale and impact of Amazon.

Our engineers tackle challenges across the full stack — we own every stage of silicon development, from architecture definition and design through verification, validation and system software.

You'll have the opportunity to work alongside amazingly talented engineers on technologies that serve millions of customers worldwide, in a dynamic, open, and fast-paced environment where your contributions directly shape the future of cloud computing.

We are looking for talented engineers to join our Virtual Platforms team. Virtual platforms play a crucial role in accelerating the development process by enabling early software development, system-level testing, and architectural exploration without the constraints of physical prototypes.

Key job responsibilities
As a Virtual Platform Engineer, you will:
• Create and maintain Virtual Platform environments for software development and system-level validation
• Optimize complex hardware-software interactions
• Drive collaboration across all development teams with a strong customer-obsessed approach