דרושים Sde Ii Builder Foundations Grid ב-אמזון ב-United States, Sunnyvale

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Key job responsibilities
- Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Stay up-to-date with advancements and the latest modeling techniques in the field
- Publish your research findings in top conferences and journals
A day in the life

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

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

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.AWS Global Services
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
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

- Extensive experience in large-scale software development with proficiency in multiple programming languages (e.g., Java, Python, C++, JavaScript).
- Proven track record in designing and building highly available, resilient, large-scale distributed systems.
- Strong background in software engineering best practices, including code reviews, source control, testing, deployment, and release management.
- Experience with Agile methodologies, DevOps practices, and leading innovation initiatives across teams or customers.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Key job responsibilities
- Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Stay up-to-date with advancements and the latest modeling techniques in the field
- Publish your research findings in top conferences and journals
A day in the life

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 1+ years of building models for business application experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software developmentPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.Key job responsibilities
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

- 5+ years of hands-on work in predictive modeling and analysis experience
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience programming in Java, C++, Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment

- 10+ years of relevant work in industry or academia experience
- Knowledge of problem solving, algorithm design and complexity analysis
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed scientific contributions in premier journals and conferences

Export Control Requirement:
Key job responsibilitiesParticipate in all phases of SDLC including requirements gathering, design, code, test, and code/test coverage.
Developing embedded software in assembly, C, C++, Rust or other languages
Have in-depth knowledge with real-time embedded software philosophies and practices
Have expertise with Linux and RTOS
Review schematics, logic analyzer, and embedded software (bare-metal) trouble-shooting techniques
Familiarity with cryptography, threat modeling, and secure SDLC, TrustZone, bootloader.
Develop embedded software in C, C++, Rust, or other modern languages.
Write drivers for peripherals and interfaces such as I2C/I3C, SPI, UART, GPIO etc.

- 7+ years of non-internship professional software development experience
- 7+ years of programming with at least one software programming language experience
- 7+ 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

- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent