דרושים Display Pq System Dev Architect ב-אמזון ב-United States, Sunnyvale

Come join us to accelerate deep learning networks on Az1/Az2/Az3 Neural Edge processors and beyond. We deliver solutions to offload Speech, Computer Vision and Generative AI workloads on a range of devices from Blink Smart Home camera to Echo Show line of products.In this role you will lead a team working alongside partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends. You will also drive partnerships with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware, ensuring scalability across current and future generations of ML accelerator architectures.
Key job responsibilities· Drive technical vision and strategy for the deep learning compiler stack
·. Manage project planning, execution, and delivery of compiler solutions
· Build and maintain strong partnerships with hardware, software, applied science and product teams
·. Develop and mentor team members, manage performance, and drive career growth
· Drive hiring and team building initiatives
· Architect and oversee development of software stack for deep learning accelerator
· Lead design reviews, API development, and documentation efforts
· Ensure successful delivery of deep learning workloads on heterogeneous device backends

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience with neural network inference offload to GPU, DSP or custom accelerators

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
- Experience building and leading compiler development teams
- Experience managing teams working on application specific accelerators or custom instruction sets

As a Battery System Engineer, you will engage with an experienced cross-disciplinary staff to conceive, and design innovative consumer product. You will work closely with an internal interdisciplinary team, and outside partners to drive key aspects of product definition and execution. You must be responsive, flexible, and able to succeed within an open collaborative peer environment.Key job responsibilities
In this role, you will:
1. Lead the design, development, and delivery of Li-ion battery system per performance and safety requirements
2. Drive battery development from NPI through mass production
3. Research and evaluate emerging battery technologies5. Design battery protection circuit and pack design for NPI programs include schematic design, and component selection.
6. Develop and review battery pack schematics, BOMs and layout to meet design requirements
7. Conduct system and design reviews, failure mode and effects analysis (DFMEA), and risk assessments
8. Analyze and resolve battery-related issues in production and field
9. Perform battery safety assessment and design for safety
10. Support battery certification processes (CTIA/IEEE1725)

- Bachelor's degree in electrical engineering or equivalent
- Experience in developing functional specifications, design verification plans and functional test procedures
- 5+ years of experience with battery technology development
- Experience with designing and qualifying battery components

- Master's degree in Electrical Engineering, Chemistry or equivalent preferred
- Strong EE fundamentals in electronic circuit design/development with microcontroller-based embedded systems.
- 5+ years experience with battery cell chemistry and platform design
- 5+ years experience with battery protection and management systems including protection ICs, Chargers, and Fuel gauge
- 5+ years of experience with battery product development in high volume consumer battery e.g. Cell phone/Tablet/E-reader/wearables.
- Knowledge of embedded software/firmware integration

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.

Key job responsibilities
The ideal candidate is 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 AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.Responsibilities-
- Work closely with Applied scientists to process data, scale machine learning models while optimizing
- Will work in an Agile/Scrum environment to deliver high quality software.

- 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

- 5+ 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

As a ML engineer with the AGI team, you will be responsible for leading the development of novel algorithms and techniques to advance the state of Large Language Model (LLM) training. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions. You will collaborate closely with the Applied Scientists on LLM fine tuning experiments and prototypes to build training workflows.Key job responsibilities
The ideal candidate is 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 AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.A day in the life- Work closely with Applied scientists to process data, scale machine learning models while optimizing
- Will work in an Agile/Scrum environment to deliver high quality software against tight schedules.

- 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

As a ML engineer with the AGI team, you will be responsible for leading the development of novel algorithms and techniques to advance the state of Large Language Model (LLM) training. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions. You will collaborate closely with the Applied Scientists on LLM fine tuning experiments and prototypes to build training workflows.Key job responsibilities
The ideal candidate is 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 AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.A day in the life- Work closely with Applied scientists to process data, scale machine learning models while optimizing
- Will work in an Agile/Scrum environment to deliver high quality software against tight schedules.

- 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

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