Software Development Engineer, SMP Multimedia Team

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create? Work hard. Have fun. Make history. The Role: As a 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. In this role, you will: - Prepare technical requirements, software design specifications and other forms of documentation - Develop embedded software solutions - Track and analyze the latest power optimization solutions and low-power technology trends in mobile fields and implement them into our products. - Work closely with hardware, BSP, and QA engineers to insure optimal efficiency implementation of system power features. - Work with our low-power and thermal engineers to share power consumption and define optimal low-power and thermal solutions. - Participate in power analysis reviews and improvements. - Identification of software design and implementation issues negatively impacting power consumption at system levels.BASIC QUALIFICATIONS- 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 ...

Sr. Machine Learning Engineer, AGI Foundations

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior SDE with a strong machine learning background, to lead the development of industry-leading models with multimodal systems.As a Senior SDE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.Key job responsibilities- Responsible for pre-training multimodal LLMs - Work closely with Applied scientists to scale pre-training of machine learning models on GPUs while optimizing the training workflows using highly distributed training techniques and frameworks (Like FSDP, NVIDIA NeMo, Megatron Core etc)- Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.- Will work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.About the teamAGI Foundations team is responsible for building industry leading generative AI models.BASIC QUALIFICATIONS- 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- Experience as a mentor, tech lead or leading an engineering team- 2+ years of expertise in Machine Learning and model training ...

Sr. Signal Integrity Engineer, Devices and Services

The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create?The Role: We are a cross functional team of engineers who obsess over our customers and our devices by seeking out and finding all hardware issues during product development. The Signal Integrity team is looking for an expert in high speed validation, interface compliance testing, and embedded system debug. The Sr. SI Validation Engineer will be a member of the Signal Integrity team with responsibilities for the simulations, tests and validation of high speed digital interfaces on new products and components. This will require close cooperation with the EE design, compliance and software teams. You will work at the PCB and product systems level. In this role, you will: - Perform pre-layout and post-layout SI and PI simulations- Work with design teams to develop and execute validation plans - Tune custom hardware to optimize Signal Integrity and cross-functional performance - Work with design team to debug issues - Develop test set-ups and research new validation technologies - Develop firmware/scripts/applications to test the hardware - Provide functional verification of electrical subsystems - Report validation status - Mentor team members on Signal Integrity and Lab Validation best-practices BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test procedures- Bachelor's degree in electrical engineering, computer engineering, or equivalent ...

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