Hardware Dev Engr Ii Esd Domain Devices Services jobs at Amazon in 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

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

Key job responsibilities
As a Principal Applied Scientist, you will:
• Own the technical architecture and optimization strategy for ML models deployed across Amazon's device ecosystem, from existing to yet-to-be-shipped products.
• Develop novel model architectures optimized for our custom silicon, establishing new methodologies for model compression and quantization.
• Create an evaluation framework for model efficiency and implement multimodal optimization techniques that work across vision, language, and audio tasks.
• Define technical standards for model deployment and drive research initiatives in model efficiency to guide future silicon designs.
• Spend the majority of your time doing deep technical work - developing novel ML architectures, writing critical optimization code, and creating proof-of-concept implementations that demonstrate breakthrough efficiency gains.
• Influence architecture decisions impacting future silicon generations, establish standards for model optimization, and mentor others in advanced ML techniques.

This role requires a blend of expertise at the intersection of ML and hardware optimization. You must be an expert in model training, with deep knowledge of cutting-edge architectures for vision, language, and multimodal tasks. Crucially, you need to be a specialist in hardware-aware quantization, with hands-on experience in model compression techniques like pruning and distillation. A strong background in computer architecture and familiarity with ML accelerator designs is essential, as is expertise in efficient inference algorithms and low-precision arithmetic.
Basic Qualifications:
• Advanced degree (PhD preferred) in Computer Science, Electrical Engineering, or a related technical field
• 8+ years of experience in machine learning, with a focus on model architecture design, optimization, and deployment
• Expertise in developing and deploying deep learning models for real-world applications, including vision, language, and multimodal tasks
• Strong background in computer architecture, hardware acceleration, and efficient inference algorithms
• Hands-on experience with model compression techniques such as pruning, quantization, and distillation
• Proficiency with deep learning frameworks like TensorFlow, PyTorch, or ONNX

• PhD in Computer Science, Electrical Engineering, or a related technical field
• 10+ years of experience in machine learning, with a track record of developing novel model architectures and optimization techniques
• Proven expertise in co-designing ML models and hardware accelerators for efficient on-device inference
• In-depth understanding of the latest advancements in model compression, including techniques like knowledge distillation, network pruning, and hardware-aware quantization
• Experience working on resource-constrained embedded systems and deploying ML models on edge devices
• Demonstrated ability to influence technical strategy and mentor cross-functional teams
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical stakeholders

Work hard. Have fun. Make history.We are looking for an Embedded Software Development Engineer to help design, develop, and integrate our next generation devices. In this role you will work with customers, system architects, program managers and hardware engineers to implement, troubleshoot, fix kernel drivers, BSP for our next generation devices.
You will be responsible for the development of real-time embedded firmware and embedded Linux software that implements security controls for the platform.
Key job responsibilities
- Design, build, and maintain efficient, reusable C code for multimedia BSP
- Debug and troubleshoot kernel drivers and multimedia framework integration
- Develop and customize multimedia Board Support Package (BSP) and graphics
- Implement low-level embedded software for multimedia device platforms
- Develop and test software layers within Linux Kernel multimedia frameworks
- Optimize multimedia performance and resolve system integration challenges
- Maintain code quality and technical documentation for multimedia components
- Provide technical guidance on embedded multimedia software development
- Participate in multimedia-focused code and design reviews

- 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
- Embedded C/Linux development experience

- 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
- Linux driver and kernel development
- Experience with assembly language development

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.

- Lead the sourcing, selection, contract negotiation and management of one or more EMS suppliers in alignment with the overarching EMS strategy and within the Integrated Management System. Ensure a competitive sourcing environment leading to continuous improvement in Engr. Services, Line Readiness, Quality, Business Management, Contract management and adherence, delivery, cost and social responsibility.- Actively engage the Device Operations and Engineering organizations with the EMS suppliers on one or more products/product lines to achieve the programmatic objectives.This requires that the Business Manager be both an advocate for the supplier within Lab126 and be their harshest critic to ensure the best possible performance. Upon success, the Business Manager will instill a forward-thinking collaborative and mutually-beneficial long-term relationship with a holistic point of view, not just a product or single supplier perspective – a business owner. These high profile responsibilities require significant breadth and business acumen as the responsibilities are very diverse and impactful:Negotiation Skills – Lead all commercial discussions related to EMS relationships. Able to negotiate best in class contract pricing, terms and conditions on large contracts with suppliers who are exceptionally skilled at protecting thin margins. Exercise good judgement in knowing when and how best to address issues or drive change.

- 6+ years of developing, negotiating and executing business agreements experience
- 6+ years of professional or military experience
- Bachelor's degree
- Knowledge of publisher ad tech stacks and/or advertising technology
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
- Experience presenting to both technical and non-technical executive audiences

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