Engineering Manager, Embedded Systems Optimization, AWS Neuron, Annapurna Labs

Amazon; Asti; In loco; EUR 140.000 - 243.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Italy is seeking an Engineering Manager for AWS Neuron to optimize machine learning performance on proprietary accelerators. Responsibilities include designing high-performance compute kernels and collaborating with clients to enhance computational efficiency. The ideal candidate has over 7 years of experience in engineering, team management, and a solid background in software architecture.

Servizi

Flexible working hours

Mentorship programs

Career growth opportunities

Competenze

• 3+ years of engineering team management experience.
• 7+ years of direct experience working within engineering teams.
• 8+ years of leading the development of multi-tier web services.

Mansioni

• Design high-performance compute kernels for machine learning.
• Analyze kernel-level performance and resolve bottlenecks.
• Collaborate with customers to optimize their ML models.

Conoscenze

Engineering management

Kernel optimization

Performance analysis

Cross-team collaboration

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Profiling tools

Descrizione del lavoro

Overview

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team focuses on maximizing performance for AWS's custom ML accelerators by crafting high-performance kernels for ML functions and ensuring optimal performance for demanding workloads. The AWS Neuron SDK is the backbone for accelerating deep learning and GenAI workloads on Inferentia and Trainium, including an ML compiler, runtime, and application framework that integrates with popular ML frameworks like PyTorch for enhanced ML inference and training performance. This role sits within the Neuron Compiler organization, working across frameworks, compilers, runtime, and collectives to optimize current performance and help shape future architectures. You will work at the intersection of machine learning, high-performance computing, and distributed architectures, helping to shape the future of AI acceleration technology.

This is an opportunity to work on cutting-edge products at the intersection of machine learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are large yet our teams remain small and agile. There is no blueprint. We are inventing and experimenting. The team works closely with customers on model enablement, providing direct support and optimization expertise to ensure machine learning workloads achieve optimal performance on AWS ML accelerators.

Explore the product and our history!

https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html
https://aws.amazon.com/machine-learning/neuron/
https://github.com/aws/aws-neuron-sdk
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success

Key job responsibilities

• Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models
• Analyze and optimize kernel-level performance across multiple generations of Neuron hardware
• Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks
• Implement compiler optimizations such as fusion, sharding, tiling, and scheduling
• Work directly with customers to enable and optimize their ML models on AWS accelerators
• Collaborate across teams to develop innovative kernel optimization techniques

A day in the life

As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:

• Build high-impact solutions to deliver to our large customer base
• Participate in design discussions, code review, and communicate with internal and external stakeholders
• Work cross-functionally to help drive business decisions with your technical input
• Work in a startup-like development environment, where you’re always working on the most important stuff

About the team

1. Why AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate — trusted by customers ranging from startups to Global 500 companies.
2. Inclusive Team Culture: We embrace differences and foster inclusion with employee-led affinity groups, innovative benefits, and learning experiences. Our culture aligns with AWS Leadership Principles to seek diverse perspectives, learn, be curious, and earn trust.
3. Work/Life Balance: We value balance and offer flexibility in working hours to support personal and professional life.
4. Mentorship & Career Growth: We support new members with mentorship and projects designed to develop professional skills for the future.
5. Diverse Experiences: We encourage applicants with non-traditional paths and diverse experiences to apply.

Basic Qualifications

• 3+ years of engineering team management experience
• 7+ years of direct experience working within engineering teams
• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems
• 8+ years of leading the definition and development of multi-tier web services
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• Experience partnering with product or program management teams

Preferred Qualifications

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.