2 months ago
Cambridge, United KingdomMid Level
Responsibilities
- Develop examples that demonstrate frameworks and techniques for running AI on Arm devices.
- Help developers deploy machine learning workloads to constrained edge devices.
- Contribute to solutions for mobile applications, portable devices, and home automation.
- Collaborate directly with technology companies, prospective Arm customers, and Arm ecosystem engineers.
- Publish technical blogs and open-source code repositories.
Requirements
- Good programming skills, preferably in C++ and object-oriented programming.
- Experience with ML frameworks such as ONNX Runtime or PyTorch/ExecuTorch.
- A desire to help developers deploy ML workloads to constrained edge devices.
- A few years of relevant engineering experience.
- Experience developing applications for real-time operating systems is desirable.
- Experience with Cortex-M or low-power Cortex-A Arm CPUs is desirable.
- Python programming experience is desirable.
Benefits
- Hybrid working practices determined by the team, with role-specific details shared during the application process.
- Opportunity to influence how developers deploy machine learning workloads on Arm processors.
- Opportunity to interact with engineers across Arm customers and the Arm ecosystem.
- Work may be published through technical blogs and open-source repositories.
- No relocation package is available.
- If skilled worker sponsorship is required, Arm will cover employer sponsorship costs, while the successful candidate is responsible for individual application fees and the Immigration Health Surcharge.
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About Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.