דרושים Amazon Postdoctoral Scientist Pricing Systems ב-אמזון ב-United States, Seattle

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
As a senior systems development engineer, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for phased array antennas validation and test, as well as overall system integration:- Develop tools for characterizing antenna RF and system performance.
- Develop software and test rack automation to support production test stations.
- Support electrical and software bring-up, debug of new hardware.- Plan, develop and implement environmental test activities for phased array antennas.
- Implement DSP FPGA firmware to map high-level algorithms from Matlab or C to architecture-specific code.

- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 5+ years of experience with C/C++ and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab with oscilloscopes, signal generators, power supplies, and other test equipment

- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- Knowledge of FPGA systems, GPIO/I2C/SPI and peripheral interfacing.
- Experience with RTL and FPGA development tools
- Experience with Matlab or tools alike
- Knowledge of Database systems

Key job responsibilities
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders

- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application 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: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

• Experience using Unix/Linux
• Experience in professional software development

Amazon is looking for a talented Postdoctoral Scientist to join its AI Research on foundation models, large-scale representation learning, and distributed learning methods and systems for a one-year, full-time research position. At Amazon, you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area and work with other acclaimed engineers and world famous scientists.Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantizationIn this role, you will have the opportunity to:
- Leverage machine learning models and advanced statistical techniques to extract valuable insights from historical data and comparable item information.
- Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.
Key job responsibilities
In this role you will:• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

* PhD in a relevant field, received within 2 years of starting the program.* Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Operations Research, Economics, or other related technical fields.* Experience in data science and quantitative research.* Proficiency in technologies relevant to the sub-field.

* Ability to independently deliver results in a fast-paced environment.* Publications at top-tier, peer-reviewed conferences and/or journals.* Exceptional verbal and written communication skills.* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies.Required application materials:* CV, which lists all peer-reviewed publications and conferences.* Research statement that outlines your research achievements and future research interests.* A journal article or book chapter that demonstrates your domain expertise.

Key job responsibilities- Attainment of organizational performance goals and objectives relating to safety, security, availability, scaling, efficiency and cost
- Vendor management of Colo datacenter services providers to meet or exceed contracted performance SLA’s
- Safety, security, and availability incident response, incident management and incident resolution
- Continuous improvement of operational processes, procedures, methods and tools

Bachelor's or Master’s degree in engineering, computer science or a related field, or relevant industry experience
- 10+ years of relevant management experience in data center operations, facility engineering operations, information technology critical environment facilities, advanced high-volume manufacturing or similar.
- Demonstrated track record in delivering complex projects
- Proven ability to hire, develop and manage high-performing technical teams
- Prior ownership of the operation of a mission-critical team and/or product
- Ability to operate independently as a manager of a geographically distributed management team
- Excellent written and verbal communications skills
- Excellent analytical, quantitative, and presentation skills
- Fluency in Spanish and English

- Expertise in one or more continuous improvement methodologies such as Lean or Six Sigma
- Substantial knowledge of mechanical, electrical, and controls systems in a critical or controlled environment.
- Broad knowledge of information technology infrastructure domains such as compute server platforms, storage server platforms, server components, network devices, technologies and architectures, IT service delivery principles and best practices.

Prime Air is seeking an experienced Supply Chain Engineer who combines technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!As a Senior Supply Chain Engineer within Amazon Prime Air, you will lead supplier performance and manufacturing readiness across multiple product lines. You will drive scalable mechanisms that improve quality, cost, and delivery, while influencing sourcing strategy, design decisions, and supplier capability. Partnering closely with engineering, quality, and operations, you will enable suppliers to achieve rate, yield, and reliability targets—balancing Day 1 agility with the structure needed to scale Prime Air’s hardware production globally.Key job responsibilities
- Define supplier performance strategy across Prime Air programs—driving quality, cost, and delivery improvements through scalable mechanisms and structured governance.- Influence design, sourcing, and manufacturing strategies through data-backed should-cost models and capability insights, shaping long-term supply decisions.- Lead multi-supplier readiness and rate-scaling initiatives, ensuring alignment to roadmap, capacity, and launch objectives across product lines.- Govern complex technical changes and manufacturing validations, ensuring design intent, reliability, and rate readiness across multiple suppliers.- Own cross-functional program integration, coordinating engineering, quality, and operations deliverables to ensure synchronized ramp and readiness milestones.- Establish global supplier health and risk frameworks, driving standardization, visibility, and accountability across the supply base.- Drive systemic improvement programs that eliminate recurring issues and raise overall supplier maturity.- Act as a technical and operational leader, representing SCEO in strategic reviews and influencing Prime Air’s manufacturing and sourcing roadmap.A day in the life
Each day blends Day 1 innovation with disciplined execution. You’ll shift between solving urgent supplier issues, building scalable mechanisms, and aligning hardware production across teams. One hour you’re deep in yield data or a cost model; the next, you’re on the factory floor driving readiness. This role thrives in ambiguity—turning chaos into structure, and structure into scalable systems that deliver quality, cost, and schedule at speed.

- Experience in developing functional specifications, design verification plans and functional test procedures
- 5+ years of electrical or mechanical engineering experience
- Travel up to 50% domestic travel with short notice
- Proven leadership in supplier relationship management, including defining and governing SLAs, performance scorecards, and escalation mechanisms across multiple suppliers or programs.
- Exceptional written and verbal communication skills, with demonstrated ability to influence senior leaders, align cross-functional teams, and represent Supply Chain Engineering in executive and supplier forums.
- Ability to operate with high autonomy in a global environment, including leading onsite supplier engagements and executive reviews with minimal direction

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience in component selection and understanding of component reliability
- 7+ years of experience in supplier management or manufacturing engineering for aerospace, automotive, robotics, or high-precision hardware.
- Expertise developing and governing should-cost models, using cost analytics to influence design strategy, sourcing decisions, and long-term negotiation frameworks.
- Deep understanding of DFM/DFA principles and advanced manufacturing quality tools (PPAP, PFMEA, control plans, process validation), with demonstrated ability to standardize and deploy them across diverse supplier networks.

This position includes being a member of the operational team that requires a week of on-call responsibilities once every 6 to 8 weeks. On-call duties include responding to customer issues, reviewing operational metrics, and improving operational excellence. Nobody likes to be paged in the middle of the night, which is why we place a top priority on ensuring issues are solved at the root cause to prevent them from happening again. Adjustments to the on-call schedule are commonly made to account for personal commitments as they arise.
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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional

- 4+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- 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
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile environment using the Scrum methodology
- Experience automating and configuring systems using the Desired State Configuration (DSC) in a large enterprise environment
- Experience utilizing AWS cloud solutions in a DevOps environment

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