Observability Customer Success Specialist Aws jobs at Amazon in United States, Seattle

You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.Work/Life Balance
Mentorship & Career Growth

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent

Key job responsibilities
You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn2, Trn1, Inf1, and Inf2 servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSWork/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders

- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

• Experience using Unix/Linux
• Experience in professional software development

Explore the Product:
A day in the life

- B.S. in Computer Science or related field
- 5+ years as a software engineer
- 5+ years of engineering team management experience
- Proven track record in new hardware chip bring-up
- Deep knowledge of backend compiler architecture, including, lowering, control-flow management, DMA optimization, and code generation

- M.S. or Ph.D. in Computer Science or related technical field
- Experience with LLVM and LMIR
- Experience with deep learning models and algorithms.

This position includes being a member of the operational team that requires a week of on-call responsibilities once every 6 to 8 weeks. On-call duties include responding to customer issues, reviewing operational metrics, and improving operational excellence. Nobody likes to be paged in the middle of the night, which is why we place a top priority on ensuring issues are solved at the root cause to prevent them from happening again. Adjustments to the on-call schedule are commonly made to account for personal commitments as they arise.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional

- 4+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
- Experience automating and configuring systems using the Desired State Configuration (DSC) in a large enterprise environment
- Experience utilizing AWS cloud solutions in a DevOps environment

This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed.Key job responsibilities
Contribute to AAIS portfolio strategy development, architecting comprehensive strategies and analytics frameworks to drive data-driven decision making across regions.Design and implement field and partner enablement programs, including training, and engagement models to transform sales effectiveness through innovative technology solutions.Partner cross functionally to develop and maintain measurement frameworks to evaluate initiative and program effectiveness.Develop geo-specific GTM plans and "Get to Green" plans, implementing scalable mechanisms that drive organizational effectiveness across multiple regions.Build strategic relationships with field and partner leadership, serving as a primary liaison between AAIS GTM leaders and regional stakeholders.Foster organizational alignment through effective communication of strategy and goals across all levels, driving proven results.Roll up sleeves and build sophisticated data models and data analysis as needed.
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 5+ years of developing, negotiating and executing business agreements experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with sales enablement platforms

- Experience interpreting data and making business recommendations
- MBAPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Explore the Product:
A day in the life
About this hiring group

- B.S. or M.S. in Computer Science or related field
- 5+ years of engineering team management experience
- Experience partnering with product management
- Strong knowledge of developing and/or managing simulation software
- Solid understanding of compilers (specifically, resource management, instruction scheduling, code generation, and compute graph optimization)

- M.S. or Ph.D. in Computer Science or related technical field
- Experience with and deep learning models and algorithms.
- Experience with LLVM, LMIR
- Interactions with open-source communities