Sde - Systems Runtime Ml Infrastructure Aws Custom Silicon Annapurna Labs 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

At this role the associate gets a chance to work on multiple generations of E-reader devices and will directly contribute to the high quality of the devices.Key job responsibilities
- Execute test plans & test cases, creating test data, and reporting results in a timely, clear, and concise manner.
- Should have understanding of the functionality of the project/product. Should have the ability to stay connected with changing requirements and documentation.
- Should be able to actively look for gaps in test cases and look beyond test cases for issues/bugs.
- Should execute processes to thoroughly test product changes.
- Should have the ability to backtrack and do a root cause analysis of bugs/issues.A day in the life
A typical day involves executing regression cases , raising bugs, supporting ad-hoc requests etc.
Also involves interacting with QA for new features, supporting first pass and bug repro.
Contributing ideas and take part in implementing them

- Bachelor's degree
- Knowledge of QA methodology and tools

- B.E ,B.Tech. ,MSC IT and MCA
- Good Communication
- Testing Knowledge
- Good Analytical Skill

Amazon Connect was designed from the ground up to be omnichannel, it provides a seamless experience across voice and chat for your customers and agents leveraging AWS. This is a highly technical position for someone who can dive deep, build complex, AWS-optimized architectures, and help customers accelerate their adoption of AWS services. Your broad responsibilities include: owning the technical engagement and ultimate success around specific implementation projects. You should be as comfortable discussing complex technical details with a room full of engineers as you are briefing an executive audience. In addition, you will engage with other AWS solutions architects, partner and professional services organizations to drive large and highly complex sales opportunities to closure.Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities.A day in the life
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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
- Experience managing relationships with SAP customers and partners
- Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private
- Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics