דרושים Quality Assurance Tech Sft ב-אמזון ב-India, Karnataka, Bengaluru

Key job responsibilitiesA day in the life· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.
· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.
· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing
· Contribute through industry first research to drive the innovation forward.

- 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

and applications, enterprise application migrations, HPC amongst many others.
A day in the life
About AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience developing software code in one or more programming languages (java, python, etc.)
- Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language)

- Experience implementing AWS services in a variety of distributed computing environments
- Experience in automation through devops scripting (e.g. shell, python, ruby, powershell)
- Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments

Key Focus Areas:
• Developing AI-powered systems for automated product safety assessment and compliance verification
• Building intelligent catalog management solutions using natural language processing and computer vision
• Creating generative AI tools to enhance seller safety and compliance processes
• Designing scalable architectures that combine traditional services with AI/ML capabilitiesThe Ideal Candidate Will Have:
• Strong software engineering fundamentals and experience with distributed systems
• Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs)
• Experience with AI model deployment, optimization, and monitoring in production environments
• Ability to tackle complex problems through data-driven experimentation
What We Offer:
• Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce
• Exposure to global markets and diverse technical challenges
• Full-stack development experience across AI and traditional systems
• Collaboration with international teams of applied scientists, engineers, and product managers
• Innovation-focused environment with emphasis on continuous learning and experimentation
Key job responsibilities• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software

- 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

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Key job responsibilities
Driving architectural closure and ensuring specifications coherency with product definition and timelinesOwn development process and chip development methodologies ensuring robust, efficient, high quality design- Drives vendor engagement methodologies
- Owns external IP engagements, driving decisisons and engagements
- IP/ASIC vendor point of contact, owns delivery schedule, drives escalationsOwns overall SOC quality and schedule
- Drive design, implementation and verification closure
- Own reviews and review methodology within the development
- Owns and drives periodic reviews with leadershipDrive and own cross discipline interfaces and activities
- Including SOC org internal teams- Vendors and external IP providersOwns SOC quality and represents SOC team for post silicon life of the SOC/Project
- Post-Silicon Health: Managing chip bring-up readiness, debug planning, and performance/functionality validation strategies
- ATE and Production Test: Coordinating the creation and implementation of efficient production test methodologies to ensure high-quality chip manufacturing
- Provide leadership with SOC quality and production risk assessments
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSWork/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Deep SOC architectural, micro architectural, chip design, verification and physical design understanding.
- Experience and deep knowledge in all stages of SOC design from definition to post silicon
- Experience with SOC post silicon validation activities
- 5+ years in either design or verification technical lead and owner of a major block or sybsystem
- 2+ successful tape outs as a major block or subsystem design or verification owner
- Proven experience leading across teams and across disciplines
- Proven experience with program management

- Previous knowledge with Machine learning acceleration SOC architecture
- Higher level degree in computer science or electrical engineering

Your responsibilities will include creating and owning key business relationships and driving the ultimate success of partner projects. You will be the “face of Amazon” with key partners and drive discussions with senior technical leaders/CxO in those organizations. You will also be required to think strategically about business, product, and technical challenges and map the intersection of partner needs and Amazon priorities.Key job responsibilities
Key Responsibilities:- Identify and engage top tier content and service providers and drive opportunities for compelling Alexa experiences.- Advocate internally for developer features and functionality that will help facilitate a world class Alexa ecosystem
- Create actionable steps to achievement of big, ambiguous ideasA day in the life
You will be the owner for some of Alexa's largest and most strategic partnerships. You will drive strategy and tactics across the partnership working across organizational altitudes and functions. As part of the role, you will lead partner engagement, business deal negotiation strategy & execution, while contributing to broader organizational business & product strategy.

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience developing, leading, negotiating and executing corporate and/or business transactions

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.Key job responsibilities
- Responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.- Participate in organizational planning, hiring, mentorship and leadership development.- You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

- PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
- Strong publication record in top-tier journals and conferences.
- Functional thought leader, sought after for key tech decisions.
- Can successfully sell ideas to an executive level decision maker.
- Mentors and trains the research scientist community on complex technical issues.
- Experience developing software in traditional programming languages (C++, Java, etc..).
- Excellent written and spoken communication skills

Key job responsibilities
• Recruit, hire, mentor, and manage a team of software engineers, developing their skills and helping them grow their careers.
• Lead your team to design, develop, and deliver scalable, high-quality automated systems and services.
• Partner closely with product managers, applied scientists, and other technical teams to deliver on the product and technical roadmap.
• Drive engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
• Provide technical leadership and guidance, influencing the strategic direction by understanding customer needs and technical opportunities.
• Manage project priorities, anticipate bottlenecks, and make trade-offs to balance business needs with technical constraints.
• Communicate with stakeholders and senior leadership about your team's strategy, technical designs, and project delivery.

- 7+ years of engineering experience
- 3+ years of engineering team management 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 designing or architecting (design patterns, reliability and scaling) of new and existing systems

- 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