דרושים Sdet - Audio Ssg ב-אמזון ב-הודו

External job description
Work hard. Have fun. Make history.In this role you will work with customers, system architects, program managers and hardware engineers to design, implement, troubleshoot, fix kernel drivers, Audio SW, BSP for our next generation devices.
You will be responsible for the development of DSP firmware and embedded Linux software that implements audio features.
Key job responsibilities
If you have one or more of the below skills, then this job is for you:
- Exposure to Audio software stack on Android/QNX/proprietary OS including Audio Flinger, Audio HAL
- Exposure to ARM, DSP architectures
- Expertise in ALSA / Pulse Audio
- Exposure to Dolby MS12 / DTS/ MPEG-TS
- Exposure to Audio/Video Sync
- Exposure to STB / DTV audio systems
- Working knowledge of Oscilloscope, Logic Analyzer, and Audio Tools including Audio PrecisionKey job responsibilities
In this role, you will:
- Design audio features that work across various embedded products
- Develop audio software that runs on ARM/DSP using Bare metal, Linux and other high level OSes
- Optimization and porting audio and speech processing algorithms
- Integration of vendor hardware and software stacks
- Tune hardware for highest audio performance and lowest noise- Be able and willing to multi-task and learn new technologies quickly

- 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
- Basic qualifications
- Bachelor’s degree in Computer Science or related fields
- 3+ years programming experience in C/C++
- Linux kernel and application development, and focus on stability, efficiency, and performance.
- Knowledge of Android platform and development environment.
- System scripting and building environment
- Experience with embedded system concepts and hardware interfaces, such as, JTAG, UART, SPI, I2C, ROM, Microcode, Custom ASIC/FPGAs x86 and ARM chipset and firmware security (TPM, UEFI, TrustZone, Secure/Measured Boot, JTAG, PCIe)

- 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
- Preferred qualifications
- • Masters or PhD
- • Experience supporting shipping Android and Linux based IOT devices

Key job responsibilities
Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
Train custom Gen AI models that beat SOTA and paves path for developing production models

- 3+ years of building models for business application 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
- Bachelor's degree in computer science, electrical engineering, or related field
- Strong foundation in related mathematical concepts (e.g. linear algebra, calculus, etc.)

- Experience in professional software development
- - Prior experience in productionizing ML models and managing their full lifecycle from development to deployment

This position requires that the candidate selected obtain and maintain an active Reliability Status security clearance with the Government of Canada.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Diverse 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

- 2+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience

Key job responsibilities
Key Job Responsibilities:• Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing theoretical understanding of Information Theory and Deep Learning fundamentals• Work with senior researchers to optimize Gen AI models for edge platforms using Amazon's Neural Edge Engine• Study and apply first principles of Information Theory, Scientific Computing, and Non-Equilibrium Thermodynamics to model optimization problems• Assist in research projects involving custom Gen AI model development, aiming to improve SOTA under mentorship• Co-author research papers for top-tier conferences (NeurIPS, ICLR, MLSys) and present at internal research meetings• Collaborate with compiler engineers, Applied Scientists, and Hardware Architects while learning about production ML systems• Participate in reading groups and research discussions to build expertise in efficient AI and edge computing

- Bachelor's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- PhD, or a Master's degree and experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience in Java, C++, Python, or a related language
- 1+ years of industry or academic research experience

- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

At this role the associate gets a chance to work on multiple generations of E-reader devices and will directly contribute to the high quality of the devices.Key job responsibilities
- Execute test plans & test cases, creating test data, and reporting results in a timely, clear, and concise manner.
- Should have understanding of the functionality of the project/product. Should have the ability to stay connected with changing requirements and documentation.
- Should be able to actively look for gaps in test cases and look beyond test cases for issues/bugs.
- Should execute processes to thoroughly test product changes.
- Should have the ability to backtrack and do a root cause analysis of bugs/issues.A day in the life
A typical day involves executing regression cases , raising bugs, supporting ad-hoc requests etc.
Also involves interacting with QA for new features, supporting first pass and bug repro.
Contributing ideas and take part in implementing them

- Bachelor's degree
- Knowledge of QA methodology and tools

- B.E ,B.Tech. ,MSC IT and MCA
- Good Communication
- Testing Knowledge
- Good Analytical Skill

As a QA champion on the engineering team, you will own the vision for test infrastructures, build frameworks that allow developers to easily write reliable tests, and invent new mechanisms for ensuring that every change we make can be deployed safely and quickly. You will help solve our most difficult challenges, and you will coach other engineers to foster a culture of relentless high-standards.
Responsibilities:
· Understanding how all elements of the system software ecosystem work together and developing QA approaches that fit the overall strategy
· Responsible for development of test strategies and creation of appropriate test harnesses
· Providing test infrastructure to enable engineering teams to test and own quality of the services.
· Being a stakeholder of the release to ensure defects are fixed per SLA and end customer experience are protected and improved
· Development and execution of test plans, monitoring and reporting on test execution and quality metrics
· Coordinating with offshore Quality Service team on test execution and sign-off

- 8+ years of quality assurance engineering experience
- Experience in automation testing
- Experience scripting or coding
- Experience in manual testing
- · Experience in at least, one modern programming language such as Python, Java or Perl
- · Familiarity with various software technologies, methodologies and applied software engineering practices/standards such as Object Oriented Design (OOD), cloud software development and embedded software

- Deep hands-on technical expertise
- Experience in Linux subsystem and testing
- Experience in testing of BSP(eMMC, USB, I2C, Security, SPI, NAND) and device drivers
- Experience in testing BootROM
- Experience in quality assurance for consumer electronics
- A deep understanding of automation testing by leading engineers who can write automation scripts/programs that will aid in automated testing

Key job responsibilities
- Daily building rounds to monitor and record information from electrical, mechanical, and fire/life safety equipment to ensure 24/7 reliability and availability
- Monitor Building Management Systems (BMS) and Electrical Power Management System (EPMS)
- Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA)
- Perform rack installs and rack decommissioning within internal SLA
- Perform PM, troubleshooting, root cause analysis, and repair of electrical and mechanical equipment
- Technical writing to support change management program
- Monitor daily work requests and manage to resolution, and execute projects from conception to completion
- On-site support of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislationPhysical Requirements:- Regularly lift and/or move up to 39 pounds independently
- Participate in group lifts for 40+ pounds
- Maintain balance and perform construction tasks while on a ladder
- Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
- Work in an environment requiring provided ear protectionA day in the lifeYou’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
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.
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

- Technical (Military/Trade School) training or 2+ years of electrical or mechanical, HVAC, fire system experience in a mission-critical infrastructure or equivalent experience in a relevant industry (for example: electrical or mechanical) 2+ years of electrical or mechanical experience
- 2+ years’ experience with Microsoft Office products (including Excel, Word and PowerPoint)
- High school or equivalent diploma

- 4+ years of Data Center Engineering experience
- Associates or Bachelor’s Degree