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Key job responsibilities
What will you do?
• Analyze deep learning workloads and map them to Amazon’s Neural Edge Engine
• Propose and implement new hardware architectures or improvements to our existing ones, that enable future ML workloads to run efficiently on our accelerator
• Collaborate closely with compiler engineers, model developers, hardware architects and product teams to build the best ML centric hardware and software solutions for our devices
• Deliver hardware architecture, microarchitecture and other design collateral for our next generation ML accelerators
• Build tools for modeling and performance evaluation to enable power, performance, cost options and trade offs
• Work with full stack silicon designers to realize the architecture on silicon.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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As a member of the team, you will be working with business partners, software development engineers and testers to design, implement, test, launch, document, and maintain complex software applications, tools, and systems. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product. You will learn a variety of cutting-edge technologies, development processes, and develop well-rounded skills such as leadership, and effective project management. You will also mentor junior software development engineers.Key job responsibilities
The Role:
As a Software Development Engineer - Systems, you will engage with an experienced cross-disciplinary staff to conceive, design, and bring to market innovative developer tools. You will work closely with an internal interdisciplinary team and outside partners to drive key aspects of product definition, execution, and test. You must be responsive, flexible, and able to succeed within an open collaborative peer environment.The ideal candidate has current and extensive experience developing and building Android systems and applications. The candidate understands what the limitations of the platform are and can design and implement additional services or help optimize existing ones to meet the product requirements. The ideal candidate:- Has in-depth expertise working with Android system- In-depth knowledge and experience with Linux kernel development- Knows what is important when releasing software to developers and has been through the process from start to finish- Is comfortable with proactive outward communication and technical leadership and never shies away from a challengeA day in the life
- 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
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Key job responsibilities
As a System Architect, you will be responsible for defining the system architecture for consumer products such as Echo, FireTV and a range of new concepts not yet announced. You will serve as the lead technical point of contact that the product management and business teams rely on to interpret and clarify the product concept's desired user experience and requirements. You will define system architecture that can meet product requirements and work closely with the business team to understand and clarify requirements and user experience tradeoffs. In the process of architecture definition, you will drive key design decisions such as edge-cloud compute partition, device SoC selection, compute architecture (CPU, DSP, GPU and ML accelerators), and other system component selections (chipsets, memory, storage). You will document the decisions in a system architecture specification document that will provide relevant design guidance for the engineering team.Besides directly defining product architectures, you will track market trends, interface directly with silicon and IP vendors, and define roadmaps for the whole organization on the next generation compute IP and silicon platforms. You will dive deep into silicon design, define specs for the next-gen silicon platforms and work with our silicon suppliers to implement them. You will work on concepts that may have an existing reference architecture as well as emerging product ideas that do not have any precedence. As the product is developed from the initial concept, prototype development, validation, to production you will stay engaged as the system technical lead to ensure the product requirements are being met. Throughout this process you work closely with multi-disciplinary product team including Program Management, Electrical Engineering, Software Engineering, ML Science, Product Design, Industrial Design, Reliability, and Operations.You are a hands-on engineer who is close to the details and validates your architecture assumptions through profiling and benchmarking. You have sufficient breadth across system domains to be able to independently lead a cross-functional group to drive architecture decisions. Besides breadth, you also typically bring depth in one or more areas of expertise to the architecture team, such as computer architecture, SoC architecture, silicon design, graphics and multimedia, embedded Linux, video encoders/decoders, applied machine learning, ML accelerators, audio, wireless, sensors, power management, system performance benchmarking, etc. As part of technology development, you contribute towards developing IP and filing patents.
A day in the life
- Gather business and functional product requirements from external/internal customers, and translate these requirements into technical specifications and architectures that are robust, scalable and supportable- Present architecture tradeoffs and recommendations to senior management (VP level)- Serve as a technical lead throughout the full development lifecycle, end-to-end, from scoping, planning, conception, design, implementation and testing, to delivery and maintenance
- Provide design and validation reviews for other engineers, including feedback on architecture and design issues, as well as integration, performance and scalability.
- Drive technology roadmaps in areas of expertise to foster innovation and meet the needs of the long-term product roadmap.
- 5+ years of industry experience or PhD in Computer Engineering, Electrical Engineering, or related fields
- Background or education in SoC/Silicon engineering, computer architecture, machine learning or embedded software
- Strong understanding of heterogenous SoC architectures
- Experience in driving architecture and design decisions for consumer electronics devices
- Expertise in at least two of the following areas: computer architecture, SoC architecture, silicon design, graphics and multimedia, embedded Linux, video encoders/decoders, applied machine learning, ML accelerators, audio, wireless, sensors, power management, system performance benchmarking, etc.
- Hands-on skills in either software development for prototyping (Python, C/C++, Java, etc.) or hardware development (System C, RTL design, FPGA design)
- Strong communication skills, ability to clearly document and present technical designs
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This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.These jobs might be a good fit

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Key job responsibilities
What will you do?
• Analyze deep learning workloads and map them to Amazon’s Neural Edge Engine
• Propose and implement new hardware architectures or improvements to our existing ones, that enable future ML workloads to run efficiently on our accelerator
• Collaborate closely with compiler engineers, model developers, hardware architects and product teams to build the best ML centric hardware and software solutions for our devices
• Deliver hardware architecture, microarchitecture and other design collateral for our next generation ML accelerators
• Build tools for modeling and performance evaluation to enable power, performance, cost options and trade offs
• Work with full stack silicon designers to realize the architecture on silicon.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
These jobs might be a good fit