דרושים » הנדסה » Lead System Designer

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 looking for a System Software Development Engineer to help define, shape, and integrate innovative solutions for the next generation of our cloud platforms.
In this role, you will be part of the System Software team, responsible for building and maintaining the software systems that validate servers before they enter our production. You will design and develop scalable test infrastructure, work closely with hardware and embedded components, and play a key role in ensuring the quality and reliability of our systems at scale.

You will collaborate with cross-functional teams, including hardware, firmware, and manufacturing, to gather requirements and deliver robust solutions. The role involves hands-on development in a Linux-based environment, deep system-level debugging, and full ownership across the software development lifecycle- from design and implementation to deployment in manufacturing environments.

This is a unique opportunity to work at the intersection of software and hardware, influence large-scale production systems, and contribute directly to the reliability of our infrastructure worldwide.

Key job responsibilities
We are seeking a new member to join the System Software team and contribute to a variety of projects and related activities:
- Work in a Linux-based environment.
- Build and maintain the software system that validates every server entering our production line.
- Design and develop framework infrastructure for executing hardware tests.
- Collaborate closely with internal and external customers to gather requirements and deliver solutions.
- Participate in the full software development life cycle, from design to manufacturing.
- Work hands-on with hardware interfaces and embedded systems to develop, validate, and debug system functionality.

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.

We are seeking an Applied Science Manager to lead a team building our next-generation customer memory and personalization systems.

As an Applied Science Manager, you will lead a team of scientists working on LLM-powered memory and personalization systems. You will define the scientific direction for 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 ensure your team delivers 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 hire and develop scientists, raise the scientific bar, and foster a culture of ownership and rigor. You will partner closely with engineering and product teams to translate research into measurable customer impact, and represent your teams work to senior leadership.

We are looking for System Software Development Engineers to help define, shape, and integrate cutting-edge solutions for the next generation of our cloud platforms. As part of our innovative team, you'll be working at the forefront of semiconductor technology development using leading-edge manufacturing processes. We offer a dynamic, open environment where teamwork thrives and rapid innovation is the norm. This is a unique opportunity to join our elite early-stage team, where you'll help develop disruptive system architectures that will shape the future of cloud computing. As a key member of Annapurna Labs, you'll be part of Amazon's semiconductor division, working alongside industry veterans to create groundbreaking solutions that power tomorrow's cloud infrastructure.

Key job responsibilities
- Work in a Linux-based environment.
- Build and maintain Linux images integrated with testing software solutions.
- Design and develop automation infrastructure for executing hardware tests.
- Develop and maintain our self-service applications.
- Leverage our Web Services as part of software solutions.
- Collaborate closely with internal and external customers to gather requirements and deliver solutions.
- Participate in the full software development life cycle, from design to deployment and maintenance.

We are looking for System Software Engineer to help define, shape, and integrate advanced solutions for the next generation of our cloud platforms.

Join our dynamic System Software team in creating innovative software solutions that power our product development lifecycle from conception to deployment. You'll develop critical tools that ensure product excellence across design, validation, manufacturing, and production environments


Key job responsibilities
Design and develop software tools for all product development stages (card level, rack level).
Collaborate with hardware engineers, firmware developers, and system architects.
Create and maintain debugging tools and utilities
Develop comprehensive documentation and provide training for tools.
Optimize testing and validation processes for coverage, speed, efficiency, and resource utilization.
Research and implement new technologies to enhance the testing ecosystem.
Support critical system troubleshooting and issue resolution.
Participate in design reviews and provide technical guidance on testability.

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.

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 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 Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.

Take part in the development of products within a disruptive system architecture. Youll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the worlds largest cloud provider. We provide a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.