Arm is looking for a Senior C++ Software Engineer who joins us in building an automotive reference software stack for our next generation compute subsystems in the context of software-defined and AI-driven vehicles.

In this role, you will work on all aspects of our software stack, from bare metal firmware to middleware and application development, in the areas of compute, vision and embedded - with safety, security and AI in mind. You will help us creating a unique developer experience for our customers as well as you will very actively use and contribute to open source software at various layers of our stack.

We seek individuals with exposure, knowledge and excitement about many aspects of system software, helping us to expanding our developer community here at Arm.

If you are similarly passionate about groundbreaking technologies as we are, we'd like to hear from you.

Responsibilities

• Design, implement and integrate our core software stack in Arm's automotive compute subsystems.
• Work with engineers across the organization to bring up and demonstrate new compute/AI platforms with excellent performance.
• Define and create better tools and infrastructure to enable the rest of the team to write performant and high-quality software.
• Help plan and prioritize engineering work packages in coordination with project management and tech leadership.
• Mentor other engineers and uphold high code quality and maintainability standards.

Required Skills and Experience

• Bachelor’s or Master’s Degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• 5+ years of prior experience designing and developing large scale software systems and frameworks.
• Excellent C/C++ skills with a deep understanding of the C++ standard library.
• Deep knowledge of software architecture, design patterns, algorithms and data structures.

“Nice To Have” Skills and Experience

• Knowledge of Arm architectures and experience in embedded software development.
• Fluency and passion in additional programming languages, such as Rust, Python or Node.js.
• Deep knowledge about systems programming, parallel/multi-threaded computing and operating system fundamentals.
• Exposure to performance critical areas such as graphics programming, AI / ML software stacks, or high-bandwidth real-time communication.