דרושים Sr Analytics Specialist Gcr Sso Service Orgnization ב-אמזון ב-China, Beijing

As a Software Development Engineer, you will participate in all phases of DSP physical layer software development from requirements through implementation and test to operations. Our team tackles all of the layer 1 tasks on the satellite system.Export Control Requirement:
Key job responsibilities
Develop embedded software in assembly, C, and C++ in a real-time operating system environment for broadband satellite modem systems.Write real-time critical software to augment and interact with hardware blocks such as FFT, correlator, codec, DPD, etc.Write device drivers and system applications for satellite broadband link management.

- 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
- As an AIML Specialist Solutions Architect (SA) in AI Infrastructure, you will serve as the Subject Matter Expert (SME) for providing optimal solutions in model training and inference workloads that leverage Amazon Web Services accelerator computing services. As part of the Specialist Solutions Architecture team, you will work closely with other Specialist SAs to enable large-scale customer model workloads and drive the adoption of AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice.
- You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI Infrastructure on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
- You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process.
Diverse Experiences
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 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.Work/Life Balance

- 5+ years of hands-on experience optimizing AI infrastructure, with deep expertise in inference acceleration frameworks (e.g., vLLM, SGLang, TensorRT, etc.), model training and serving systems across PyTorch and TensorFlow ecosystems;
- Advanced proficiency in Nvidia GPU performance optimization techniques, including memory management, kernel fusion, and quantization strategies for large-scale deep learning workloads;
- Strong foundation in parallel computing principles with practical CUDA programming experience, emphasizing efficient resource utilization and throughput maximization;
- Demonstrated success implementing and tuning distributed AI systems leveraging modern frameworks like Megatron-LM and Ray, with particular focus on LLM deployment and horizontal scaling across GPU clusters.

• Responsible for the over-all systems development life cycle.
• Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment.
• Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team.
• Work closely with the engineers to architect and develop the best technical design and approach.
• Report on status of development, quality, operations, and system performance to management.
Key job responsibilities
• Responsible for the over-all systems development life cycle.
• Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment.
• Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team.
• Work closely with the engineers to architect and develop the best technical design and approach.
• Report on status of development, quality, operations, and system performance to management.

- Bachelor's Degree in Computer Science or related field.
- 10+ years’ experience managing software development teams, ideally with some hands-on architectural or distributed systems experience.
- The key requirement for this position is established skill designing and developing complex, interactive end user experiences.

- MS, Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, etc.
- A strong track record of project delivery for large and cross-functional projects.
- Strong technical credentials and deep hands-on technical expertise on embedded systems.
- Development experience on mobile platforms such as Google Android, WebOS, Windows Mobile, Apple iPhone and RIM Blackberry.
- Excellence in technical communication with peers and non-technical cohorts.
- Ability to handle multiple competing priorities in a fast-paced environment.
- Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.
- A track record of communicating well with executives and non-technical leaders.
- Experienced on smart TV products.

Key job responsibilities
As a Senior Software Development Engineer, you will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products. You must be responsive, flexible and able to succeed within an open collaborative peer environment. You will work closely with the hardware, ODM, and QA teams to take the product from concept to customer release and ensure the highest level of quality for your deliverables. Have in-depth expertise working with the Linux kernel, BSP, drivers or even service development for consumer devices. In this role, you will:
• Work with product management and cross functional teams to provide technical solutions for desired user experiences and features.
• Dive deep and provide solutions for complex issues.
• Collaborate with cross-functional teams to integrate and optimize functionalities within BSPs.
• Drive the team to adopt engineering best practices.
• Participate in the development of technology strategies and roadmaps, and guide the team in making technology decisions.
• Are comfortable with proactive outward communication and technical leadership and never shy away from a challenge
• Lead or mentor other software developers to maintain architectural vision.

- Bachelor’s degree in Computer Science, Computer Engineering or equivalent.
- 8+ years relevant work experience in embedded Software.
- Professional experience in consumer device software development. Proficiency in in Linux kernel or driver development with C/C++ and multiple SOC platforms, including 5+ years working experience in Linux BSP development.
- Be able to drive software architecture design and system optimization in complex software system.
- Strong communication skills and the ability to present complex technical concepts effectively.

- Strong domain expertise in Linux audio system, driver, HAL, ALSA, Android audio sub-system design and implementation.
- Experience with multimedia frameworks (e.g., GStreamer, FFmpeg) and hardware-accelerated audio codecs is a plus.
- Strong domain expertise in embedded software security and code/data protection is a plus.
- Experience in Linux Yocto will be a plus.

- Build and scale programs that help accelerate the adoption of AWS cloud services.
- Work with sales and marketing to identify and execute strategies to build the funnel of migration opportunities including account planning and deal development.
Key job responsibilities- Work with sales and marketing to identify and execute strategies to build the funnel of opportunities.
Diverse Experiences
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 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.Work/Life Balance

- Experience developing strategies that influence leadership decisions at the organizational level
- Experience developing, leading, negotiating and executing corporate and/or business transactions
- Experience influencing internal and external stakeholders
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 10+ years of proven experience in driving enterprise-scale transformation projects through collaboration with customers, service providers, and technology partners

Key job responsibilities
1. Generative AI Model Development:
-Design and develop generative AI models, including language models, image generation models, and multimodal models.
-Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning.
-Conduct research and stay up-to-date with the latest advancements in the field of generative AI.2. Data Acquisition and Preprocessing:
-Identify and acquire relevant data sources for training generative AI models.
-Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards.
-Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance.3. Model Training and Optimization:
-Design and implement efficient training pipelines for large-scale generative AI models.
-Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training.
-Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization.4. Model Evaluation and Deployment:
-Develop comprehensive evaluation metrics and frameworks to assess the performance, safety, and bias of generative AI models.
5. Collaboration and Knowledge Sharing:-Contribute to the firm's thought leadership by presenting at conferences, and participating in industry events.About the team
Diverse Experiences
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 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.Work/Life Balance

- Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques.
- Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks.
- Strong background in natural language processing, computer vision, or multimodal learning.
- Ability to communicate technical concepts to both technical and non-technical audiences.

- Experience with large language models, such as Claude, GPT, BERT, or T5.
- Familiarity with reinforcement learning techniques and their applications in generative AI.
- Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask).
- Strong problem-solving, analytical, and critical thinking skills.
- Strong communication, collaboration, and leadership skills.

Key job responsibilities• Facilitate Working Backwards workshops with customer executive groups. Lead and coordinate translation of those solutions into working cloud prototypes, working with relevant engineering and services teams, and partners where appropriate.
• Build value propositions/ business cases. Train & enable local sales teams to help qualify customers, and – in some cases – lead elements of the digital innovation engagement. Effectively track and articulate the value of engagements underway, and major wins.
• Share knowledge effectively across the WW team. Help develop and improve the Innovation & Transformation engagement model based on engagement experience. Work with the Partner team to identify, engage and enable partners who can accelerate our approach to digital innovation and transformation.
• Conduct customer briefings, present at customer events, further AWS solutions-led thought leadership in the innovation domain.About the team
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.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.Work/Life Balance

- 3+ years of business development, partnership management, or sourcing new business experience
- Bachelor's degree or equivalent
- Experience using data and metrics to determine and drive improvements

- Experience in online advertising or high-tech products/services