דרושים Principal Tpm Defect Prevention & Reconciliation ב-אמזון ב-United States, Washington, Bellevue

Amazon Last Mile Delivery Tech (LMDT) is revolutionizing how packages are delivered to customers through innovative Under the Roof (UTR) Technology solutions. Our mission is to create a flawless delivery experience by ensuring safe environments, simple operations, speedy shipments, and optimized UTR cost per package. As we scale to handle billions of packages annually, we're seeking a Sr. Principal Engineer to lead our transformation toward automated, intelligent delivery stations.
This position requires expertise in both software architecture and industrial automation systems, preferably in the area of autonomous mobile robots, storage and retrieval systems, and IoT solutions. You'll work at the intersection of multiple domains - software, electronics hardware, embedded systems, and mechanical systems - while leveraging AI/ML to create intelligent solutions.
Key job responsibilities
1. Lead the technical strategy and architecture for UTR Tech organization, overseeing hundreds of services including critical Tier 1 systems for package sortation and operator experience.2. Define and execute the automation roadmap integrating MHE automation and IoT approaches, targeting significant operational efficiencies as part of our long-term vision.3. Design and implement modular automation solutions for multiple operational processes, balancing innovation with ROI constraints.4. Drive technical decisions across multiple VP organizations, influencing 350+ engineers globally while partnering with central engineering and innovation teams.5. Architect scalable solutions that combine hardware (robotics, CNC systems) with software (AI-driven optimization, real-time tracking, preventative maintenance).6. Establish technical standards and best practices for integrating advanced automation technologies, including LiDAR-based solutions and autonomous systems.7. Mentor senior and Principal engineers while fostering a culture of innovation and technical excellence.

10+ years of professional software development experience
• 8+ years of programming experience with at least one modern language such as Java, C++
• 8+ years contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

• Advanced degree in Computer Science or a related field
• 2+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams
• Experience shipping successful large-scale supply chain projects
• Experience partnering with Research Science or Machine Learning experts to drive optimizations using the latest techniques.

As a Software Development Engineer in the Amazon Device OS organization, you will own the definition and implementation of components used to build applications on millions of devices. We are building a new development environment for our smart home devices, and, as part of this effort, you will create common software components for product lines such as Echo and Fire TV. You will be challenged to create rich customer applications, while optimizing for performance.
You will engage with an experienced cross-disciplinary staff to conceive and design innovative customer experiences. You will create new solutions in a responsive, flexible and collaborative peer environment. You will participate in designing, prototyping, and building solutions to hard problems in the Amazon ecosystem for our exciting future in consumer devices.
Key job responsibilities
As a Software Development Engineer, you will:
- Understand and refine the scope of incoming projects

- 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

Key job responsibilities
- Serve as a technical leader on the most demanding, cross-functional projects.
- Functionally decompose complex problems into simple, straight-forward solutions.
- Fully and completely understand system inter-dependencies and limitations.
- Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.- Be a builder and an operator.

- 15+ years of non-internship professional software development experience.
- Experience with object-oriented design, data structures, and algorithms.
- Experience owning tech strategy, end to end delivery, and partnering with senior leadership.
- Proven ability to provide technical and strategic oversight for a high-performing global team of hundreds of engineers.
- 10+ years of mentoring and growing engineers.

- 20+ years of deep hands-on technical expertise in building complex distributed systems.
- Experience solving customer and technical problems with durable, scalable solutions over multi-year, multi-billion dollar, and multi-organization impact.
- Desire and ability to inspire and influence at all levels, from engineering graduates, to VPs, SVPs, and CTOs.
- Published research or patents in relevant technical areas.
- Master's or PhD preferred.

Key job responsibilities
- Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data.
- Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
- Mentor fellow scientists while maintaining strong individual technical contributions.A day in the life
As a member of the Delivery Foundation Model team, you’ll spend your day on the following:
- Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure
- Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning
- Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference- Conduct experiments and prototype new ideas

- PhD or Master's degree and 8+ years of applied machine learning experience.
- Experience designing novel deep learning model architectures, building models from scratch
- Proficient with Data, experience with SQL and Spark
- Expert coders comfortable working in production environments using Python, C++ or other languages
- Strong publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL) OR Demonstrated experience in applying machine learning innovation in industry
- Extensive track record of leading technical projects
- Experience mentoring junior scientists / engineers.

At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Key job responsibilities
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.A day in the life
- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Research and apply the latest ML techniques and best practices from both academia and industry.

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling

- Have publications at top-tier peer-reviewed conferences or journals
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

The success of Kuiper depends on the quality, reliability, cost, manufacturability, throughput, and security of the products that you deliver. If you seek a fast-paced, dynamic environment; if you thrive on solving difficult problems where resolutions have high impact; and if you love the challenge of building something from scratch, then this role will be an ideal next career step. To be successful you need to be highly motivated and detail oriented while showing the highest standards of execution.Key job responsibilities
- Driving and developing departmental continuous improvement initiatives and support implementation.
- Assemble mechanical and electrical satellite components, sub-assemblies, and integration assemblies, fabricating and/or processing materials into complex manufactured products, and operating testing equipment and tooling, all in a Cleanroom and ESD control environment.
- Lead process work and review output for quality and adherence to standards and procedures
Export Control Requirement:A day in the life

- High school diploma or equivalent
- 4+ years relevant aerospace manufacturing experience
- 4+ years of hands-on work experience Electro-Mechanical Assembly, Final Integration and/ or Harness Integration experience
- 4+ years experience in a fast-paced production environment with Flight Hardware
- 4+ years of hand on experience with precision torque, measurement and inspection devices (i.e., automated and manual torque wrenches, calipers, micrometers, profilometers, optical inspection devices, multi-meters, torque wrenches)Additional Requirements:
- Willing to work all shifts, overtime and weekends as needed. Estimated shift times will be on 1st shift, from 6am to 4:30pm, Wednesday to Saturday
- Standing for long periods of time, climbing up and down ladders, bending, grasping, sitting, pulling, pushing, stooping, and stretching may be required to perform the functions of this position
- Able to lift-up to 25lbs. unassisted

- 1+ years prior leadership experience, to include leading teams, projects or people
- Experience bringing teams and processes from development to production
- Aircraft & Powerplant (A&P) certification/license
- Able to read, interpret and work from engineering documentation and/ or drawings
- Experience working with FOD, ESD sensitive hardware and clean room requirements
- Ability to work effectively in a team environment Ability to rapidly change roles/responsibilities while working in a high-paced, challenging work environment
- Previous military service a plus

As a Principal Applied Scientist, you will:1. Address business challenges through building compelling cases and using data to influence change across the organization
2. Develop input and assumptions based on preexisting models to estimate costs and savings opportunities associated with varying levels of network growth and operations
3. Create metrics to measure business performance, identify root causes and trends, and prescribe action plans
4. Manage multiple high-impact projects simultaneously6. Communicate with and support various internal stakeholders and external audiences
7. Implement scheduling solutions, improve metrics, and develop scalable processes and tools- PhD in Operations Research, Statistics, Engineering, or Supply Chain Management
- Extensive experience in operations research and data-driven decision making
- Strong analytical and problem-solving skills
- Robust program management and research science skillsKey job responsibilities
1. Advanced Modeling and Algorithm Development:
- Design and implement sophisticated machine learning models for logistics optimization
2. AI and Machine Learning Integration:
- Architect and deploy AI-powered systems to enhance decision-making in logistics operations
- Implement deep learning techniques for image recognition in package sorting and handling
- Develop reinforcement learning algorithms for adaptive scheduling and resource management3. Big Data Analytics and Processing:
- Design and implement distributed computing solutions for processing massive logistics datasets
- Utilize cloud computing platforms (e.g., AWS) for scalable data processing and analysis5. AI-Driven Workflow Optimization:
- Design and implement AI agents for autonomous decision-making in logistics processes
6. Software Development and System Architecture:
- Write efficient, scalable code in languages such as Python, Java, or C++
- Develop and maintain complex software systems for logistics optimization
- Stay at the forefront of AI and ML research
- Publish research findings in top-tier conferences and journals

- 10+ years of building machine learning models or developing algorithms for business application experience
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience with neural deep learning methods and machine learning

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 15+ years of relevant, broad research experience after PhD degree or equivalent.
- Deep expertise in Machine Learning
- Proficiency in programming for algorithm and code reviews.
- Strong core competency in mathematics and statistics.
- Track record of successful projects in algorithm design and product development.
- Publications at top-tier peer-reviewed conferences or journals.
- Strong prior experience with mentorship and/or management of senior scientists and engineers.
- Thinks strategically, but stays on top of tactical execution.
- Exhibits excellent business judgment; balances business, product, and technology very well.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with real-world data sets and building scalable models from big data.
- 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.