דרושים Senior Sde Firetv Voice ב-אמזון ב-United States, Sunnyvale

Key job responsibilities
• Develop high-performance inference software for a diverse set of neural models, typically in C/C++
• Design, prototype, and evaluate new inference engines and optimization techniques
• Participate in deep-dive analysis and profiling of production code
• Optimize inference performance across various platforms (on-device, cloud-based CPU, GPU, proprietary ASICs)
• Collaborate closely with research scientists to bring next-generation neural models to life
• Partner with internal and external hardware teams to maximize platform utilization
• Work in an Agile environment to deliver high-quality software against tight schedules
• Hold a high bar for technical excellence within the team and across the organization

- 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
- Bachelor's degree in Computer Science, Computer Engineering, or related fields
- Experience programming with at least one software programming language, or experience in embedded development in C/C++
- Master's degree, or a PhD and experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with portable device hardware architectures
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Experience creating novel algorithms and advancing the state of the art
- Experience with inference frameworks such as PyTorch, TensorFlow, ONNXRuntime, TensorRT, LLaMA.cpp, etc.
- Proficiency in performance optimization for CPU, GPU, or AI hardware
- Proficiency in kernel programming for accelerated hardware using programming models such as (but not limited to) CUDA, OpenMP, OpenCL, Vulkan, and Metal
- Experience with latency-sensitive optimizations and real-time inference
- Knowledge of model compression techniques (quantization, pruning, distillation, etc.)
- Experience with LLM efficiency techniques like speculative decoding and long context

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimization
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risksAbout 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

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

As Senior Software Development Engineer, you will be responsible for defining, building and supporting the system design, architecture, and software for Ring IoT products. As a member of our team, you will be interacting closely with the business and cross-functional engineering teams across different organizations to gather engineering requirements, design and implement new features. You will contribute to all aspects of an agile software & systems development life cycle including design, architecture, development, documentation, testing and operations. You are the engineer that other engineers can count on; you are technical, you attack every problem with enthusiasm.Key job responsibilities
• Dive deep and take ownership for critical design issues involving algorithm, hardware/firmware interfaces, IoT interfaces, overall system performance, etc.
• Participate in design reviews for complex embedded systems, simulations, algorithms and software development
• Influence and partner to develop the technical strategies for overall system designs
• Solve problems using the most appropriate combination of hardware, software, systems design, architecture, process, or operations.
• Lead reviews of architecture, design, operations, process, or post-incident analysis for your team. Actively participate in reviews of systems owned by partner teams.
• Define and/or refine system requirements, participate in the development and delivery of Interoperability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation.
• Develop embedded software in C/C++A day in the life
Your work is very hands-on and multi-disciplinary. You will be working closely with vendors, engineers, and product teams. You write documents, carry out experiments, demonstrate proof-of-concepts, build prototypes, and ship sophisticated systems.

- 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
- BS degree in Electrical Engineering, Computer Engineering, Computer Science or related field, or equivalent practical experience.
- 7+ years of experience in embedded systems development, design or test
- 7+ years of experience with MATLAB, Python, C, C++ or a similar programming language
- 3+ years of experience with: networking concepts, WiFi, VLAN, LTE, APN, AT modem commands, interfaces, routers, network packets, Unix sockets API

- Master’s / PhD in Electrical/Computer Engineering
- Experience in embedded firmware development for IoT devices
- Experience with low level device driver development and troubleshooting embedded operating systems
- Experience with cloud IoT connectivity development
- Experience with network modeling and wireless system development
- Experience with board support packages, Linux environments

Key job responsibilities

- PhD, or Master's degree and 4+ years of applied research experience
- 4+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch

As a Software Development Engineer, you will be responsible for defining, building and supporting the system design, architecture, and software for Ring IoT products. As a member of our team, you will be interacting closely with the business and cross-functional engineering teams across different organizations to gather engineering requirements, design and implement new features. You will contribute to all aspects of an agile software & systems development life cycle including design, architecture, development, documentation, testing and operations. You are the engineer that works with your team on solving the hard problems; you are technical, you attack every problem with enthusiasm.Key job responsibilities
• Dive deep and works to help solve critical design issues involving algorithm, develop hardware/firmware interfaces, IoT interfaces, etc
• Participate in design reviews for complex embedded systems, simulations, algorithms and software development owned by your team and partner teams
• Influences within your team and partner teams to help drive and develop the technical implementation for overall system designs
• Identify and implement process improvements which improve your team’s agility. This may include improvements to design, automation, development, test or operations.
• Define and/or refine system requirements, participate in the development and delivery of Interoperability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation.
• Develop embedded software in C/C++A day in the life
Your work is very hands-on and multi-disciplinary. You will be working closely with vendors, engineers, and product teams. You write documents, carry out experiments, demonstrate proof-of-concepts, build prototypes, and ship sophisticated systems.

- 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
- (For Hub role) 2+ years of experience with: networking concepts, WiFi, VLAN, LTE, APN, AT modem commands, interfaces, routers, network packets, Unix sockets API

- 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
- 3+ years of embedded firmware development experience

Key job responsibilities- Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
- Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports

- PhD, or Master's degree and 5+ years of applied research experience
- 4+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.

- PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning
- Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with patents or publications at top-tier peer-reviewed conferences or journals

Key job responsibilities- Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
- Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports

- PhD, or Master's degree and 5+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.

- PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning
- Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with patents or publications at top-tier peer-reviewed conferences or journals