19 hours ago
San Jose, CA, USAStaff+
Base Salary
$263k - $355k/yr
Responsibilities
- Develop highly optimized kernel- and system-level solutions for AI workloads running on Arm technology.
- Create production-quality reference implementations, documentation, and performance-focused technical content.
- Act as a technical bridge between customers and internal engineering teams to resolve complex performance issues.
- Diagnose performance challenges and use customer insights to influence Arm’s IP, software, and tooling roadmaps.
- Present technical progress and recommendations to engineers and senior leadership.
Requirements
- Experience optimizing DNNs using Triton, CUDA, or another kernel-level programming language.
- Deep understanding of parallel computing, memory hierarchies, and DNN performance optimization techniques.
- Strong programming skills in Python and C++.
- Experience with modern AI frameworks, execution models, profiling tools, and analysis tools.
- Strong communication and interpersonal skills.
- Customer-facing or field engineering experience, Arm ecosystem experience, and AI performance optimization for edge devices are preferred.
Benefits
- San Jose-based role with significant customer work across the Bay Area.
- Flexible hybrid working arrangement, with team-specific patterns shared during the application process.
- Reasonable workplace accommodations and equal employment opportunity.
- Annual base salary range of $262,700-$355,400, excluding other total-reward components.
Categories
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.