דרושים » חשמל ואלקטרוניקה » Staff Machine Learning Engineer

We are seeking a proactive and detail-oriented AI Regulatory Engineer to ensure that AI-based clinical features for ultrasound systems comply with evolving global regulatory requirements-particularly FDA regulations for AI-enabled medical devices.
This role is critical as AI has become a highly regulated domain, requiring specialized regulatory strategies, risk management approaches, and lifecycle governance. The AI Regulatory Engineer will work closely with AI engineering, clinical, quality, product management, and regulatory affairs teams to define and execute the correct AI regulatory and submission strategy across the full product lifecycle.
Job Description
Key Responsibilities
AI Regulatory Strategy & Compliance
Interpret and apply regulatory frameworks and guidance for AI-enabled medical devices, including FDA, EU MDR/IVDR, and global regulations.
Define and drive AI regulatory strategies for clinical ultrasound features, including SaMD and AI-enabled device functions.
Support FDA submission pathways (e.g., 510(k), De Novo, PMA) for AI-based features, including AI-specific regulatory positioning.
Risk Management & Safety for AI
Lead AI-focused risk management activities in accordance with ISO 14971, addressing AI-specific hazards such as bias, robustness, generalization risk, and clinical misuse.
Perform and maintain AI-specific risk analyses (e.g., AI FMEA, algorithm hazard analysis, clinical performance risk).
Ensure traceability between clinical requirements, AI behavior, risk controls, and verification/validation evidence.
Regulatory Documentation & Submissions
Prepare and maintain AI-related regulatory documentation, including:
AI descriptions and intended use statements
Training and validation dataset descriptions
Performance evaluation and clinical evidence summaries
Algorithm change management and lifecycle documentation
Support creation of FDA-ready AI documentation, including transparency, explainability, and human-factors considerations.
AI Lifecycle & Change Management
Define regulatory-compliant processes for AI updates, retraining, and post-market changes, aligned with FDA expectations.
Support implementation of Predetermined Change Control Plans (PCCP) or equivalent AI lifecycle strategies.
Ensure alignment between AI development practices and regulatory expectations for locked vs. adaptive algorithms.
Cross-Functional Collaboration
Collaborate closely with:
AI engineers and data scientists
Clinical and medical affairs teams
Quality, systems, and V&V engineers
Product management and regulatory affairs
Embed regulatory and safety requirements early into AI design, data strategy, and clinical validation plans.
Regulatory Intelligence & Audits
Monitor evolving AI regulations, FDA guidance, standards, and industry best practices.
Communicate regulatory changes and their impact on AI roadmaps and product strategy.
Support internal audits, design reviews, and external regulatory inspections related to AI and clinical safety.
Provide training and guidance on AI regulatory and safety topics to engineering and product teams.

The Lead Clinical Applications Engineer is a role within R&D, focused primarily on new product introduction and continuous improvement of post-market Nuclear Medicine and/or 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
Key Responsibilities
Serve as a clinical reference for Nuclear Medicine and 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 Nuclear Medicine and 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 Nuclear Medicine and PET-CT, supporting clinical validation and performance claims.
Contribute to usability, clinical validation, and regulatory‑related documentation as required.

Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities:
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.

Required ML Hardware Achitect
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will help shape the future of Clouds next-generation AI infrastructure, architecting high-performance Machine Learning silicon designed to power hyperscale AI inference. You will have an opportunity to drive accelerator technology that powers Generative AI models, large language models (LLMs), and emerging agentic workloads where throughput, latency, memory bandwidth, and energy efficiency are mission-critical.
You will be part of a silicon architecture team pushing the boundaries of custom computing. Leveraging your deep expertise in hardware-software co-design, machine learning algorithms, and computer architecture, you will define and optimize custom compute engines and memory hierarchies that accelerate the world's most advanced AI models across Cloud datacenters.
Responsibilities
Lead the architectural definition, modeling, and specification of next-generation, high-performance ML compute IP and acceleration blocks for Cloud AI silicon.
Own the ML IP architecture specification throughout the entire product lifecycle: concept exploration, cycle-accurate modeling, implementation, silicon bring-up, and production.
Partner closely with leading AI research and algorithm teams (e.g., Google DeepMind, Gemini research teams) and software compiler teams (XLA, PyTorch) to explore architectural trade-offs and define hardware requirements for emerging model architectures.
Drive comprehensive architecture studies, evaluating compute dataflows, numerical formats, sparsity, and specialized acceleration mechanisms such as key-value (KV) cache optimization.
Drive performance, latency, power efficiency, and silicon area projections across model topologies and workload configurations.

The Lead Clinical Applications Engineer is a role within R&D, focused primarily on new product introduction and continuous improvement of post-market Nuclear Medicine and/or 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
Key Responsibilities
Serve as a clinical reference for Nuclear Medicine and 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 Nuclear Medicine and 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 Nuclear Medicine and PET-CT, supporting clinical validation and performance claims.
Contribute to usability, clinical validation, and regulatory‑related documentation as required.

we are looking for a Staff Systems Engineer.
As a Staff Systems Engineer, you will be a critical contributor on our Electrophysiology Systems Engineering team focused on delivering the future in Advanced Imaging. This role will involve a range of responsibilities including but not limited to collaborating and leading teams in the strategy, development and analysis of system architecture, system performance and system integration for our next generation products including various imaging modalities such as echocardiography, CT, MRI, and 3D cardiac mapping. In this role you will be a key member of product development team to bring systems from concept to launch.
Duties and Responsibilities:
Define and influence, and drive execution of technical strategy for system-level programs while partnering with cross-functional stakeholders on business strategy and product roadmaps.
Utilize multidisciplinary engineering knowledge and experience to design, develop, and troubleshoot new products specific to cardiac mapping and advanced imaging.
Provide system engineering leadership and take ownership for overall project success for new products and features from concept phase through launch.
Work with Product Marketing, Clinical Engineering, and Key Opinion Leaders to develop design input requirements from user and business needs.
Communicate with Sr. Management including technical presentations, status updates, and program reviews.
Lead project-level system architecture, system behavior definition, and tradeoff analysis activities utilizing Model-Based Systems Engineering (MBSE) methodologies, including use case modeling, requirements traceability, system architecture modeling, and interface definition.
Lead cross-functional working groups to solve complex problems, mitigate risks, and develop strategies to overcome challenges.
Plan, manage, and report on overall systems integration activities including root cause analysis and solution generation.
Identify, communicate, and proactively manage technical, integration, and program risks throughout the product development lifecycle.
Provide input into the technology and product roadmaps.
Be a strong team player and lead cross-functional teams to resolve issues and meet budget and schedule requirements.
Create a positive, collaborative culture amongst the technical teams while working to solve challenging engineering problems.
Mentor engineers across multiple disciplines and serve as a technical leader driving engineering excellence, sound systems thinking, and effective technical decision-making.
Ensure compliance with procedural and documentation requirements of , FDA, ISO and other regulatory bodies.

department. You will be responsible for gathering, analyzing, and reviewing system-level and sub-system requirements, coordinating system partitioning and total system integration using systems engineering practices.
Your role:
Contribute to system architecture, design, and integration of a complex CT subsystem.
Perform hands-on lab work, including system bring-up, debugging and root-cause analysis.
Own and maintain system-level documentation (requirements, specifications, interfaces, design rationales).
Support verification and integration activities across multiple CT platforms.
Lead technical topics and collaborate closely with HW, SW, Mechanics, Physics, Manufacturing, Quality, and Service teams.
Support field and production issue investigations and lifecycle improvements.

The clinical application engineer serves as the core clinical knowledge of the product development and/field support phase for SPECT/CT, PET/CT and radiology reading solutions. Your main responsibilities include:
Gathering, prioritizing, and shaping user requirements.
Designing new applications and features.
Close collaboration with cross-functional engineering groups to feed customer needs into detailed engineering design requirements
Supporting product life cycle activity such as usability, user manuals, application training, regulatory submissions, clinical evaluation summary report, medical evaluations, and product pilots.
Work in close collaboration with customers, internal/external stakeholders. Supporting the field with advanced customer queries.

As part of our companys Point of Care Ultrasound business, this role focuses on activities that contribute to the design and development of innovative ultrasound products and their interaction with the human body. You will play a key part in planning and executing tasks that impact departmental operations, ensuring compliance with standard functional practices and procedures. While the position offers some autonomy, it is primarily centered on delivering high-quality execution within an established operating discipline. Some judgment may be required, offering guidance to other team members.
Join us in transforming patient care by bringing advanced imaging closer to clinicians- helping them make faster, more accurate decisions when it matters most.
Job Description
Roles and Responsibilities
Technical Product Leader
Design and define clinical applications- AI tools, clinical and workflows applications, according to user needs communicated by product managers, clinical team, field feedback and physicians.
Project management collaborating with multifunctional teams: software, algorithms, system, program, mechanics, UX\UI designer, verification, clinical team and product managers.
Documentation of product requirements- design input and output.
Review verification plans and procedures.
External evaluation sites support.
Regulatory submission support.

We are seeking a Package Layout Design Engineer to join our hardware team and contribute to the physical design of advanced IC packages for next-generation machine learning and data center ASICs.
In this role, you will execute package layout tasks from floor planning through tape out and manufacturing release, working closely with senior engineers, SI/PI, thermal, and manufacturing teams to deliver production-ready designs that meet performance, density, and reliability targets.

Key job responsibilities
- Execute package layout tasks across the design cycle: die floor planning, bump/pad assignment, RDL routing, substrate design, verification, and tape out release.
- Implement physical designs for advanced packaging architectures including 2.5D interposer, 3D-IC, fan-out wafer-level packaging, and silicon bridge technologies (e.g., CoWoS, EMIB, or similar).
- Support package floorplan development considering die placement, bump maps, power/ground distribution, signal escape routing, and decoupling capacitor placement.
- Perform RDL and substrate routing for high-density interconnects including microbumps, C4 bumps, TSVs, microvias, and PTH vias across multi-layer organic substrates or silicon interposers.
- Support die-level RDL routing and bump planning in coordination with ASIC physical design teams to help co-optimize the die-package interface.
- Contribute to cross-level layout co-optimization across die RDL, interposer/substrate, and PCB levels under guidance from senior engineers.
- Assist in maintaining package stack-up definitions in collaboration with SI/PI and materials engineering teams.
- Run physical verification checks (DRC, connectivity, shorts/opens) and support design closure.
- Follow and help refine package design rules and guidelines, working with OSAT partners and foundries to ensure DFM compliance.
- Collaborate with SI/PI engineers to incorporate electrical constraints into the physical layout - impedance-controlled routing, power plane optimization, and critical net shielding.