Machine Learning System Software Engineer
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
In this role you will be empowered to: Architect and develop the system runtime software for Apples proprietary Neural Engine Accelerator optimizing it for deep learning inference with a focus on performance scalability and power efficiency Collaborate with cross-functional teams including hardware and platform architecture teams to bring new hardware silicon to market and ensure the system software support for next-gen features Lead the design and implementation of complex system runtime features advancing both technical capabilities and strategic alignment across the team and company Mentor and guide emerging and mid-level engineers sharing your expertise to foster their growth in system software technologies and ensuring high standards of code quality innovation and efficiency Play an instrumental role in defining system software architecture approaches and optimizations balancing trade-offs between performance energy efficiency and hardware constraints Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware contributing to the vision and roadmap of the Apple Neural Engine team Cultivate a culture of learning and collaboration encouraging innovation and supporting engineers in their development with the potential to expand your influence across the organization
- Proven expertise in software design and architecture including deep experience with full-stack software design implementation and optimization
- Understand software and hardware interfaces
- High-level proficiency in C or C and experience working with large complex software systems and demonstrated ability to ship high-quality production software
- Bachelors degree in Computer Science Computer Engineering or a related field with 10 years of experience shipping production software
- Experience optimizing software for distributed parallel or heterogeneous execution environments with a solid understanding of shared memory synchronization and multi-threading techniques
- Expertise in neural network inference on specialized SoCs or GPUs and knowledge of deep learning frameworks and tools
- Expertise in full stack software design and implementation
- Proven track record in mentoring and coaching engineers with an interest in taking on increasing responsibilities and contributing to the teams development
- Strong communication skills and ability to collaborate effectively across teams and functions
Key Skills
- Graphic
- Actuarial
- Community Support
- Drafting
- Garment
- Architecture
About Company
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