דרושים Configuration Management/altium Releaser Blink ב-אמזון ב-ארהב

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Key job responsibilities
- Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;
- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;- Stay up-to-date with advancements and the latest modeling techniques in the field;
- Publish your research findings in top conferences and journals.

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of building machine learning models for business application 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.

In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.Key job responsibilities
* Develop cutting-edge training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust.
* Work across the entire technology stack, including low level ML system, job orchestration and data management.
* Analyze, troubleshoot and profiling complex ML systems, identify and address performance bottlenecks.
* Work closely with researchers, conduct MLSys research to create new techniques, infrastructure, and tooling around emerging research capabilities.

- PhD, or Master's degree and 3+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience debugging ML systems

- PhD in Computer Science, Machine Learning, or a related field, with a focus on ML System.
- Demonstrated experience in developing, implementing and debugging large scale ML systems.
- Experience with distributed system, Megatron, vLLM, Ray, and working with GPUs.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Export Control Requirement:
As the SAP Quality Management expert you would design solutions, enhance and support SAP Quality management and Production Planning modules. And work closely in integration with SAP EWM and SAP Manufacturing execution systems. The enhancement and support of these systems is critical to scalability and cost-effective manufacturing of satellites and ground gateway terminals. To be successful you need to be highly motivated, detail oriented and effective communicator.Key job responsibilities
- Build SAP QM based solutions- Conduct Blueprint workshops, fit-gap analysis and produce detailed design documents
- Prepare functional specifications, configure, test and lead implementation for all SAP RICEFW areas
- Build and support integration with SAP PP, EWM, MM, SAP MES system
- Identify training needs, support creating training documentation and lead train the trainer sessions
- Participate in strategic planning, roadmap discussions for SAP Quality Management solutions
- Participate in quarter planning, sprint planning, deployment for continuous enhancementsA day in the life
Collaborate with functional owners, architects and developers to build dynamic and flexible systems to meet the emerging demands of internal customers in manufacturing. Support production system for Support tickets , bug fixes and identifying optimization opportunities to enhance overall process and system performance. Your primary role will be to understand and address business requirements by designing solutions, configuring the QM and PP modules, supporting the development of RICEFW objects, conducting tests, and ensuring smooth integration with other modules such as EWM, MES, and MM.

- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- 5+ years of Development and Support experience with SAP QM Module
- 2+ Full Cycle implementation experience
- 5+ years in an information technology role
- Experience working in and integrating with SAP EWM

- 5+ years of experience in implementing Quality Management Solutions.
- 2+ years experience with Production Planning
- Experience working in onshore-offshore model
- Experience supporting manufacturing in Aerospace or automotive industry

Key job responsibilities
Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:* Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models
* Analyze and optimize kernel-level performance across multiple generations of Neuron hardware
* Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks
* Implement compiler optimizations such as fusion, sharding, tiling, and scheduling
* Work directly with customers to enable and optimize their ML models on AWS accelerators
* Collaborate across teams to develop innovative kernel optimization techniquesA day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.#5. 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.

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

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
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.Amazon 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.

- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Current, active US Government Security Clearance of Top Secret or above

- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience

This role requires technical depth to understand systems engineering practices, strong problem-solving capabilities, and effective communication skills when working with a wide range of leaders. You will collaborate across multiple Amazon teams as you work through complex interconnected systems to improve operational efficiency and address issues that arise.Key job responsibilities
• Lead and develop an engineering team focused on building automated solutions to reduce operational toil while driving measurable improvements in operational efficiency• Manage team's operational metrics, on-call rotations, and incident response processes while implementing and maintaining operational procedures across multiple domains• Partner with AWS service teams to identify operational pain points, develop scalable solutions, and ensure smooth operational handoffs• Drive technical project planning and execution while mentoring engineers and fostering a culture of operational excellence• Collaborate across AWS teams to align on operational improvements, lead post-incident reviews, and ensure continuous service optimizationA day in the lifeAWS 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.About AWSUtility Computing (UC)Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, amd conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’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

- 5+ years of experience managing software development, systems engineering, or operations teams
- 5+ years of experience in systems engineering, distributed systems, or cloud operations
- 3+ years of experience leading technical projects in a software development environment using agile methodologies
- Demonstrated ability to write clear technical documentation and business communications

The VMR Operations organization is looking for a Senior Security Engineer with deep technical expertise in security operations and vulnerability management to join us in building and maturing our VMR Operations programs. In this role, you will be responsible for defining and holding the security bar for VMR’s Campaign Management Program, which enables builders and drives remediation actions across Amazon. You will leverage relationships with engineers across Stores Security, business teams, and leaders throughout Amazon to ensure security, compliance, and privacy risks are correctly assessed and mitigations properly designed. You will build trust with senior engineers and leaders by leveraging your technical expertise to understand technical challenges, design improved solutions, and hold a high program bar. Finally, you will use your information security expertise to champion and drive risk-based decisions across complex, multi-disciplinary programs to ensure Amazon properly manages security risk.Key job responsibilities
You will be responsible for defining and enforcing the quality bar for all security, privacy, and compliance campaigns launched across Amazon.You will leverage relationships with engineers and managers across Stores Security to intake, prioritize, and launch security campaigns.You will build trust with Amazon builders by ensuring all campaigns we launch are of the highest quality bar, including clear descriptions of the security risk, steps for remediation, and insight to prevent future issues.You will partner with your peers to continuously improve the Campaign Management Program, with an emphasis on constant improvement through small, iterative changes to our processes and tooling.About the team
Diverse Experiences
Amazon Security 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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.
Mentorship and 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Cybersecurity, or related technical degree; or 4+ years equivalent technology experience.
- 7 years engineering experience in system, network, and/or application security or the development of security products.
- 5 years experience improving accuracy of vulnerability detection mechanisms across a diverse technical ecosystem.
- 5 years experience and deep knowledge of vulnerabilities, exploits and vulnerability management systems. Experience building applications or systems on cloud-based services.

- Understanding of networking, operating system internals, and system design.
- Experience across the vulnerability management and remediation lifecycle from assessment through remediation.
- Experience with developing exploits, host-based, and container-based detections.
- Experience with AWS services.