דרושים Sde - Perception & Planning Last Mile Delivery ב-אמזון ב-United States, Bellevue

As a Software Development Engineer II, you will design, manage and own technologies in Delivery programs space and. you will have significant influence on our overall strategy by helping define new product features, drive the system architecture, and spearhead the best practices that enable a quality product.

- 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

- 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

Key job responsibilities- Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite constellations- Design and implement production quality web applications that are secure and accessibility compliant.
- Mentor fellow engineers and contribute to building a strong engineering culture.Export Control Requirements:

- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 2+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience building scalable, distributed, front-end experiences
- 2+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with AWS services used for front ends such as CloudFront, CloudWatch, S3, Lambda, DynamoDB, IAM, Cognito, etc.
- Experience with Java and SQL
- Knowledge of client-server architectures

Key job responsibilities- Support all safety programs and OSHA compliance to ensure a safe work environment for all associates.
- Interact with management and staff to provide technical assistance for continuous improvement of IT solutions.
- Establish and maintain a positive, productive relationship with operational partners and staff.
- Lead infrastructure builds in new facilities.
- Develop and maintain policies, procedures, and processes.
- Oversee management of equipment and parts inventory.
- Create, manage, and support recognition and communication programs.
- Travel up to 30%.

- 5+ years of developing a team of technical professionals across multiple locations experience
- 2+ years of leading technology teams as a information technology operations manager experience
- Bachelor's degree, or 4+ years of professional or military experience
- Knowledge of Linux or Unix systems administration

- Knowledge of hardware architectures
- Experience with system management tools and client/server environments

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
• Authenticate users and confirm credentials in accordance with KGS access control policies.
• Triage incoming support cases, collect necessary context, and determine appropriate resolution paths.
• Manage inbound service desk communications across chat, phone, and ticketing channels.
• Create and maintain a complete record of all customer interactions in the SNOC system of record.
• Tailor and refine the ServiceNow interface to support mission-specific workflows and templates.
• Monitor service queues and broadband telemetry to proactively identify degradation or outages.
• Escalate service interruptions or complex technical issues to engineering teams as needed.
• Deliver technical support for fielded systems, including end-user devices, network endpoints, and Kuiper terminals.
• Coordinate on-site support logistics in collaboration with remote field service personnel.
• Track and manage incidents, requests, and problem records using ITIL-aligned practices.
• Maintain awareness of customer satisfaction metrics and participate in continuous service improvement efforts.Security Clearance: This position requires that the candidate selected be a US Citizen and candidates must be able to obtain and maintain a US Government security clearance of TS/SCI.

- 2+ years of troubleshooting in a multi-user high availability environment experience
- 2+ years of PC repair, troubleshooting, deployment and liquidation experience
- 1+ years of IT client, server, and network service delivery experience
- 2+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience
- 2+ years of corporate setting Windows, Mac or Linux Operating systems support experience
- 2+ years of supporting and maintaining a corporate network environment experience
- High school or equivalent diploma

- 2+ years of computer networking experience
- Experience supporting video conference and teleconference equipment
- Experience with AWS Console metrics and reporting

Key job responsibilities
- Design and develop advanced machine learning models and algorithms for autonomous vehicle systems
- Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning
- Transform research concepts into production-ready solutions that meet strict safety and performance requirements
- Develop novel approaches to solve complex technical challenges in autonomous navigation
- Create and implement metrics and evaluation frameworks to measure model performance
- Mentor junior scientists and contribute to building a culture of scientific excellenceA day in the life

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- 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.