דרושים Quality Assurance Analyst Coro - Consumer Robotics ב-אמזון ב-United States, Sunnyvale

The Role:
The Sr. Mgr, QEM of will drive continuous improvement in all aspects of the job, deal with ambiguity, and influence at all levels of the company, including making quality assessments and risk appraisals to executive leadership . As a senior leader, this role requires building a team of Quality Engineering Managers and coaching their development to achieve high performance.
In this role, you will:Be an expert in advanced quality methods and protocol.
Deliver solutions to complex problems through in-depth data analysis and forensics by using methodical approaches, along with experience, innovation and judgment to make decisions that may be based on partial information.Align cross-functionally, influencing a broad spectrum of stakeholders to deliver on the quality policy.
Create standards around which others will operate and build consensus
Determine specific quality related functional milestones during NPI

BSME/BSIE/BSEE or related Engineering degree.
7+ years of experience in an engineering and/or quality role
Understand technology, at the system and commodity level as well as software and usability
7+ years use of statistical tools like Minitab, JMP
3+ years of management experience

-MS/MBA: Engineering, Manufacturing, or Operations Management
-Certified Quality Engineer/ Six Sigma Blackbelt/Master Blackbelt
-Excellent written and oral communication
-Strong ability to work with and influence others
-Self-motivated/self-directed

Key job responsibilities
* Design and implement sophisticated embedded software architectures for robotic systems and innovative consumer devices
* Lead technical decisions for cross-platform software deployment strategies in complex, multi-processor environments
* Drive system-level architecture decisions and facilitate cross-functional technical alignment
* Collaborate with cross-functional teams and advise on new product concept architecture
* Establish and enforce scalable processes for software development, testing, and deployment
* Provide technical guidance and mentorship to team members
* Solve challenging technical problems spanning from low-level motor control to complex behavioral systemsA day in the life* Start with a daily standup meeting with your immediate team
* Debug a complex timing issue reported in the motion control subsystem
* Collaborate with hardware engineers to optimize a new sensor integration
* Lead an architecture review meeting for a new feature implementation
* Write and review code for real-time control algorithms
* Mentor team members on embedded systems best practicesThroughout your week, you can expect to:
* Participate in 2-3 design reviews for new features or architecture changes
* Spend 40-50% of your time writing and reviewing code
* Dedicate 20-30% to hands-on laboratory work with prototype devices
* Invest 15-20% in technical leadership activities including mentoring and architecture planning
* Engage in cross-functional meetings with product, hardware, and systems teamsYou'll work primarily from our office location, with access to dedicated robotics laboratory spaces, hardware development tools and equipment, collaborative workspaces, prototyping shops

- 7+ years of non-internship professional software development experience
- 7+ 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
- Experience building complex software systems that have been successfully delivered to customers
- Deep expertise with and proven track record of deploying production-grade embedded systems with both RTOS and Linux for electromechanical products with hard real-time requirements and constraints in embedded systems

- 5+ 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
- Experience with robotics control systems, related sensor integrations, communication protocols (CAN, SPI, etc), standards (eg. ISO 26262, IEC 61508) and crossfunctional prototyping
- Knowledge of ARM CPUs
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

As the Director of Kuiper Security Assurance, you will manage a team of compliance subject matter experts dedicated to building first-in-class certification, accreditation, and assurance programs for Project Kuiper. You will be accountable for building customer trust and ensuring that we maintain a high security bar for Project Kuiper. You will maintain customer and regulatory relationships, identify applicable industry requirements, and establish long-term strategies to meet customer and regulatory security assurance needs. You will also work closely with various industry groups and regulators to establish risk requirements and policies for Project Kuiper. The successful candidate is a strategic thinker, with deep experience in heavily regulated landscapes, solid understanding of telecommunications or cloud-based technologies, and experience in security and compliance.Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilities
* Provide technical and strategic leadership to the Kuiper Security Assurance team by overseeing all assurance activities for Project Kuiper’s products and services
* Work closely with engineering and product teams, and define the strategy for Project Kuiper to meet and exceed compliance requirements and customer needs across an international footprint
* Drive innovative solutions to provide the highest level of assurance in the most scalable and cost-effective manner
* Engage and influence external parties, such as industry groups, customers and regulators, on global reporting and risk requirements, policies, and regulatory questions

* Bachelor’s degree in Computer Science, Engineering, Information Systems Management, related field or relevant work experience
* 7+ years experience working on governance, risk and compliance programs that involve direct engagement with regulators or public sector agencies involved in cybersecurity management and/or operations
* 7+ years experience in managing and building teams, including compliance experts

* Experience working on security risk assessment or cybersecurity consulting
* Proficiency with government security frameworks, policies and standards (e.g., ISO, NIST)
* Experience working with sensitive or classified systems of government
* Ability to work across internal and external stakeholders, including engineering and business development teams, customers and regulators, to proactively identify security assurance requirements
* Prior experience in effectively scaling complex and large compliance and assurance program

As a member of the team, you will be working with business partners, software development engineers to design, implement manual and automated tests. You will have significant influence on our overall test strategy and driving the system architecture that supports it and spearhead the best practices that enable a quality product. You should have a combination of solid in-depth knowledge of Quality Assurance, solid understanding of the operating system software, as well as knowledge automation tools. You will learn a variety of cutting-edge technologies, development processes, and develop well-rounded skills such as leadership, and effective project management. Candidates will need to define test plans, test specifications, test suites, test cases as well as design tools for functional and performance testing in a programmatic manner.Key job responsibilities
- Maintaining, managing test setups including automotive test benches, automation setups
- Perform Functional, Performance and stability tests in vehicle, simulated or test bench environment

- 1+ years of quality assurance engineering experience
- Bachelor's degree
- Experience in manual testing
- Experience in automation testing
- Experience in UI and API automation testing (Selenium/SOAPUI)

- Experience in API & Mobile testing
- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control

- Enable unprecedented generalization across diverse tasks
- Integrate multi-modal learning capabilities (visual, tactile, linguistic)
- Accelerate skill acquisition through demonstration learning
- Enhance robotic perception and environmental understanding
- Streamline development processes through reusable capabilitiesThe ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.Key job responsibilities
As an Applied Scientist in the Foundations Model team, you will:
- Model Development and Training: Designing and implementing the model architectures, training and fine tuning the foundation models using various datasets, and optimize the model performance through iterative experiments
- Data Management: Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines.
- Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance.
- Code Development: Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs
- Research: Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience
- 2+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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 in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment

Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus.

Bachelor’s degree required or GED with 1+ year of experience in data collection, technical support, project management, data processing, machine learning, or related field

Excellent communication, strong organizational skills and very detailed-oriented • Experience working in a corporate environment • Comfortable working in a fast paced, highly collaborative, dynamic work environment •Practical knowledge of machine learning data processing needs and trade-offs • Experience working with prototype assets • Experience in research or data collection • Experience with any scripting languages and Unix/Linux environment is a plus • A good sense of humor, a positive attitude, and great team work skills are a must • Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools.

Key job responsibilities
As a Software Quality Assurance Engineer, you will work with consumer application testing expertise. You will join the team of hands-on, pro-active, self-motivated and seasoned SQA professionals. In this role, you will:
- Create test plans and test cases
- Review user interfaces for conformity and functionality
- Efficiently execute test cases across all functional areas of our products
- Review product user interface for conformity to design guidelines
- Isolate, document, regress, and track bugs through resolution
- Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process
- Work with Software Development Engineers to understand the overall technical architecture
A day in the life
As a QA Engineer, you will champion the quality of our features in development pipeline using both automated and manual tests, reporting and verifying defects, and signing-off on features and release candidates. You will own authoring and execution of test plans and test cases. You will have a significant impact in the quality and delivery speed of our software/business, and most importantly our customers. You will work closely with developers, product managers, and QA in order to ensure the features we deliver to our customers have a high level of quality. In addition, you will also have the opportunity to propose improvements to our existing processes and automated tools in order to improve the team’s speed, quality and efficiency.

- 4+ years of quality assurance engineering experience
- Experience in manual testing
- Experience in automation testing
- Experience scripting or coding
- Experience with performance and scalability testing

- Experience as QA lead on medium to large sized projects