Software Engineering Manager, ML Kernel Performance

Amazon

United States

United States

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À propos

The Annapurna Labs team at Amazon Web Services (AWS) is pioneering the development of AWS Neuron, a software development kit designed to enhance deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. As part of the Acceleration Kernel Library team, we focus on maximizing performance for AWS's ML accelerators. Our engineers operate at the hardware-software interface to craft high-performance kernels for ML functions, ensuring efficient utilization of resources to meet our customers' demanding workloads. By merging deep hardware knowledge with ML expertise, we redefine the potential of AI acceleration. This position offers the chance to work on transformative products at the crossroads of machine learning, high-performance computing, and distributed systems. You will lead the design and implementation of essential features, engage in pioneering research, and guide a talented team of engineers. We maintain an agile team environment focused on innovation and customer success. Key Responsibilities: Lead the design and implementation of high-performance compute kernels for ML operations utilizing the Neuron architecture. Analyze and optimize kernel performance across various generations of Neuron hardware. Conduct thorough performance assessments using profiling tools to identify and address bottlenecks. Implement compiler optimizations, such as fusion, sharding, tiling, and scheduling. Engage directly with customers to enable and enhance their ML models on AWS accelerators. Collaborate with teams to develop innovative kernel optimization strategies. A Typical Day: Design and code solutions to improve software architecture efficiency. Create metrics and implement automation to enhance processes and resolve software defects. Deliver impactful solutions to a vast customer base. Participate in design discussions, code reviews, and communications with various stakeholders. Work cross-functionally to influence business decisions with your technical insights. Thriving in a dynamic environment where you focus on the priority tasks at hand. About Our Team: Why AWS:
Amazon Web Services (AWS) is the most extensive and widely adopted cloud platform globally, driving innovation in cloud computing. Inclusive Culture:
We are dedicated to fostering an inclusive culture with diverse employee-led groups and numerous opportunities for ongoing learning and development. Work-Life Balance:
We prioritize sustainable work-life balance, offering flexible working hours to promote a fulfilling professional and personal life. Mentorship & Career Growth:
Our culture encourages mentoring and supports career development through diverse project assignments. Diverse Experiences:
We value varied experiences and encourage applicants from all backgrounds to apply, regardless of whether they meet all listed qualifications. BASIC QUALIFICATIONS 3+ years of experience in engineering team management. 7+ years of hands-on experience within engineering teams. 3+ years of experience in designing or architecting systems. 8+ years of experience leading the development of multi-tier web services. Familiarity with the full software/hardware/networks development life cycle. Experience working with product or program management teams. PREFERRED QUALIFICATIONS Strong communication skills with experience interacting with users and various technical teams. Proven experience in recruiting, mentoring, and managing engineering teams. Amazon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. The position will remain posted until filled. If you require accommodations during the application and hiring process, please refer to our resources for assistance. Our compensation reflects the cost of labor across various U.S. geographic markets. The base pay for this position ranges from $166,400/year to $287,700/year, depending on location and experience.

United States

Compétences linguistiques

English

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