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We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

We are looking for talented engineers to join our Virtual Platforms team. Virtual platforms play a crucial role in accelerating the development process by enabling early software development, system-level testing, and architectural exploration without the constraints of physical prototypes.

Key job responsibilities
As a Virtual Platform Engineer, you will:
Create and maintain Virtual Platform environments for software development and system-level validation.
Optimize complex hardware-software interactions.
Drive collaboration across all development teams with a strong customer-obsessed approach.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating at our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

We are looking for talented Engineers to join our Virtual Platforms team.
Virtual platforms play a crucial role in accelerating the development process by enabling early Software development, System-Level testing, and architectural exploration without the constraints of physical prototypes.

Key job responsibilities
As a Virtual Platform Engineer, you will:
Develop accurate and efficient simulation models of hardware components.
Create and maintain Virtual Platform environments for software development and system-level validation.
Debug and optimize complex hardware-software interactions.

This role requires strong communication skills and a collaborative mindset, as you'll frequently interact with various teams across AWS to deliver optimal solutions.

Required Senior System Engineer
Job Description Summary
As a Senior System Engineer, you will play a critical role in the design, development, integration, and verification of complex medical imaging systems. You will be responsible for translating clinical needs into technical requirements, ensuring the robust performance, safety, and regulatory compliance of our innovative healthcare solutions.
Job Responsibilities
Lead and participate in the full product lifecycle, from concept and requirements definition through design, development, testing, and deployment of medical imaging systems.
Translate high-level clinical and user requirements into detailed system and subsystem specifications, ensuring traceability and comprehensive coverage.
Perform complex system analysis, modeling, and simulation to optimize system performance, identify potential risks, and propose innovative solutions.
Collaborate closely with cross-functional teams including hardware, software, clinical, quality assurance, regulatory, and manufacturing engineers to ensure seamless integration and successful product delivery.
Define and execute system verification and validation plans, including test protocols, data analysis, and reporting, to ensure compliance with medical device regulations (e.g., FDA, CE).
Conduct root cause analysis for system-level issues, propose effective corrective actions, and drive their implementation.
Contribute to the continuous improvement of system engineering processes, tools, and methodologies within the organization.
Mentor junior engineers and provide technical guidance on complex system engineering challenges.
Stay abreast of industry trends, emerging technologies, and regulatory changes relevant to medical imaging systems.

We are seeking a Lead Systems Engineer to drive Point-of-Care Ultrasound systems engineering activities across the full product lifecycle.
Job Description
Key Responsibilities:
Lead and manage system-level requirements and specifications throughout product development
Drive system verification and validation activities, including end-to-end system testing
Act as the primary interface between Algorithm, Software, and Verification & Validation (V&V) teams
Lead product risk management activities in accordance with regulatory and quality standards
Drive resolution of complex technical issues to ensure project milestones and goals are met
Collaborate closely with Program Management to support scheduling, mitigate technical risks, and inform decision-making through sound engineering judgment.

We are seeking a highly motivated System Engineer to contribute to the design, development, and integration of cutting-edge medical imaging systems. This role involves ensuring system performance, reliability, and compliance with medical standards.
Job Description
Job Responsibilities
Define and analyze system requirements, translating them into detailed technical specifications for hardware and software components.
Participate in the architecture, design, and integration of complex medical Ultrasound imaging systems .
Develop test plans and procedures to verify and validate system functionality, performance, and reliability.
Conduct root cause analysis for system defects and anomalies, implementing effective solutions and preventative measures.
Collaborate with cross-functional teams, including R&D, manufacturing, quality assurance, and regulatory affairs, throughout the product lifecycle.
Perform risk analysis and contribute to the development of mitigation strategies in accordance with medical device regulations.
Support the entire product development process, from concept to post-market surveillance.
Document all phases of the system engineering process, including requirements, design, test results, and issue resolution.
Stay abreast of new technologies and industry trends in medical imaging and system engineering.

Required Lead Clinical Applications Engineer
Job Description Summary
The Lead Clinical Applications Engineer is a role within R&D, focused primarily on new product introduction and continuous improvement of post-market PET‑CT imaging systems and related software. The role provides clinical and application expertise to product and engineering teams, ensuring solutions meet clinical needs, deliver strong image quality and quantification, and perform reliably in real‑world use.
Working closely with R&D, system engineering, product management, service, and field teams and customers, this role translates clinical needs, customer feedback, and usage insights into practical system and software improvements, while supporting resolution of complex clinical and application‑related issues.
Job Description
Lead Clinical Applications Engineer - PET‑CT R&D
Key Responsibilities
Serve as a clinical reference for PET‑CT applications and workflows within R&D programs.
Support investigation of selected complex customer or field issues, translating findings into actionable inputs for product improvement.
Interface with product, software, algorithms, system engineering, hardware, UX, service, and field organizations as needed.
Translate clinical use cases and user needs into system and software requirements in collaboration with engineering teams.
Support design and validation of PET‑CT applications, reconstruction methods, and workflow solutions.
Provide clinical input to decisions impacting image quality, quantification accuracy, dose, and user experience.
Participate in evaluation of AI‑enabled PET‑CT features, supporting clinical validation and performance claims.
Contribute to usability, clinical validation, and regulatory‑related documentation as required.

As a System Integration Engineer on our DDR team, you'll own end-to-end interface development and integration across the full product lifecycle - from early concept through silicon bring-up to production debugging at scale. You'll be part of developing the advanced memory technologies that power our AGI fleet.

Day-to-day, you will:
1. Shape interface design strategies - influence architectural decisions that define next-generation memory subsystems.
2. Drive system integration - bring together hardware, firmware, and software to deliver optimal design implementations.
3. Debug at cloud scale - leverage data from the world's largest public cloud to solve complex cross-domain challenges.
4. Collaborate with industry leaders - work directly with the top DRAM manufacturers in the world.
5. Raise the bar - set quality standards and drive continuous improvements in performance, reliability, and cost.

Required Lead Program Integrator
Job Description Summary
The Lead Program Integrator (LPI) leads major initiatives within the Program Office, holding end to end ownership of the Install Base (IB) projects and supports the Program Manager.
The role drives day to day execution while establishing strong planning, governance, and controls to ensure successful delivery of multiple IB-related projects.
Partnering with cross functional teams across engineering, manufacturing, quality, regulatory, supply chain, and service, the LPI ensures products meet business, performance, compliance, and launch readiness requirements. As the central integrator and decision maker, the LPI aligns stakeholders, manages trade offs, and turns strategy into results.
The role drives day‑to‑day execution and ensures effective planning, governance, and delivery of complex POCUS programs. Working with cross‑functional teams across engineering, manufacturing, quality, regulatory, supply chain, service, and clinical functions, the LPI ensures systems meet business goals, clinical performance, compliance, and readiness for deployment at the point of care.
Job Description
Roles and Responsibilities:
Collaborate with Program Manager and leadership in delivering scope, schedule, cost, quality, and business commitments across the program
Own program milestones, driving closure of deliverables and actions
Coordinate cross‑functional teams to ensure aligned execution across engineering, manufacturing, quality, regulatory, supply chain, and service
Lead design transfer to enable smooth transition from development to manufacturing and launch
Identify, manage, and mitigate program risks and issues, ensuring timely resolution and continuity
Establish clear governance, planning, and communication rhythms to drive alignment and accountability
Support the Program Manager and leadership to ensure regulatory compliance and business objectives are met throughout the program lifecycle.