דרושים Technical Program Manager Tpm- Hardware Opd ב-אמזון ב-United States, Sunnyvale

Key job responsibilities
• Provide Infrastructure support of incoming system tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services.
• Work on maintenance driven coding projects, primarily in Java and AWS technologies.
• Software deployment support in staging and production environments.
• Develop tools to aid operations and maintenance.
• System and Support status reporting.
• Ownership of one or more Digital products or components.
• Improve the infrastructure, operational performance, and stability.
• Participate in designs, code and procedures reviews.
• Identify opportunities arising from technical discussions and do the technical trade-offs.
• Troubleshoot, research root causes thoroughly resolve defects.
• Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure.
• Keep the compliance risks for internal systems under control.
• Drive large scale projects such as migration to native, pipeline automation and drive it to closure.

- Experience in automating, deploying, and supporting infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix

- Experience with CI/CD pipelines build processes

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

- 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

What will you do?: You will lead a multidisciplinary team to develop solutions across multiple programs (text search, image search, local information, etc.) to: (i) own web search evaluation: You will own the systems that support fast and reliable evaluation of the quality of our web search service. (ii) build and automate training data generation: You will own the development of high-quality training data sets for our web information retrieval and ranking models, having direct and significant impact on our search quality. You will help improve the data quality, including mining for hard negatives, incorporating several dimensions of quality (e.g. relevance, content freshness, page trustworthiness, etc.), as well as scale the pipeline to billions of examples. You will work with stakeholders to address their specific modeling needs and develop and own metrics to communicate your progress on data quality and scale. (iii) accelerate experimental velocity: You will be responsible for improving the team’s ability to experiment quickly. This includes measuring the entire lifecycle of an experiment (from ideation, acquiring data, setting up infra to train, debugging model, running evaluations, deploying into production), identifying painpoints and developing solutions to address them. (iv) improve system understandability: You will develop advanced analytics and automate failure space analysis processes to help the team debug and understand search quality issues. You will partner with the broader AGI analytics team to coordinate metrics for our information retrieval engine with user signals or downstream dependencies to debug across systems as well. (v) streamline deployment and optimize model performance: You will develop expertise, systems, and processes to streamline model deployments and improve model inference efficiency, enabling the team to reduce latency, cut costs, or run larger models in production.
Key job responsibilities
As the SDM for the WIS Machine Learning Infrastructure team, you will:* Hire and develop the best. You will help grow and develop a team of scientists and engineers, growing their careers and empowering them to achieve amazing things.
* Set a vision for your team and create product roadmaps. Help your team identify technical and product requirements and opportunities. Use project management and prioritization skills to balance long and short-term goals and deliver on your product roadmap.
* Keep your technical skills current to contribute to architecture and design discussions. Lead your team to evolve and scale our service architecture.
* Drive continual improvements: Set and iteratively improve team processes and mechanisms to make sure the right things get prioritized and work gets done efficiently.
* Drive operational excellence: Implement operational best practices to improve the team’sA day in the life

- 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
- 8+ years of leading the definition and development of multi tier web services 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 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
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience managing MLEs and scientists
- Experience building software systems to support model training, deployment, and optimization

Key job responsibilities
In this role, you'll lead a team of talented engineers fostering a culture of innovation and continuous improvement. You'll be expected to leverage your deep technical expertise, coupled with a strong understanding of subscription business models, to develop and implement sophisticated retention strategies.As a senior leader in the organization, you'll also play a key role in shaping our overall technical direction, mentoring the next generation of engineering talent, and representing our technical capabilities to executive leadership and external partners.

- 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
- 8+ years of leading the definition and development of multi tier web services 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 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

Key job responsibilities
Key job responsibilities
In this role, you will:
• Work with engineering and the supply chain team to set program cost targets at a commodity level for your project.
• Track the program actual costs versus target to identify program deltas and corrective actions to bring back on track.
• Attend program new product introduction meetings to understand the cost implication of engineering and/or process changes as related to your product fully loaded cost targets.
• Work with the OEM to set your product purchase order cost for the upcoming period.
• Manage purchase price variance claims resulting from engineering changes, component obsolescence or forecast variance.
• Drive the supply chain and operations team to provide detailed cost reduction forecast that enable you to meet and exceed your product goals.
• Host executive management cost reviews that deep dive through every aspect of your product cost.
• Finalize the optimum supply chain and sourcing plan for your product and drive the cross-functional team to ensure its implementation.A day in the life

- 5+ years of developing, negotiating and executing business agreements experience
- Bachelor's degree
- 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 interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- 5+ years of managing complex technology projects working directly with engineering teams
- 5+ years in supply chain and/or manufacturing for complex systems/devices
- Excellent analytical and communication skills; meticulous attention to details
- Experience in relevant industries with a holistic view and keen business acumen
- Technical aptitude and familiarity with the design and working of complex systems
- Proven track record of complex and creative problem solving and the desire to create new processes or simplify and improve on current ones
- Proven ability to influence others, facilitate agreement among stakeholders with different interests