דרושים » מדעים מדוייקים » Senior Algorithms Engineer

Required Senior System Engineer
Job Description Summary
The Senior Systems Engineer is responsible for the system level design, performance, and integration of complex medical imaging systems, with strong emphasis on imaging physics and quantitative performance. The role ensures that clinical, technical, quality, regulatory, and cost requirements are met across the full product lifecycle. The job allows modification of procedures and practices covering work as long as the end results meet standards of acceptability (quality, volume, timeliness etc.).
Key Responsibilities:
Own system architecture and performance, integrating physics, hardware, software, algorithms, and clinical workflows.
Translate customer and clinical needs into clear system requirements and performance metrics.
Lead physics‑based system analysis, modeling, and trade‑off studies to optimize image quality and robustness.
Define and execute system‑level verification and validation, including physics‑based test methods.
Drive cross‑disciplinary technical decisions and manage system risks (FMEA, root cause analysis).
Support manufacturing, service, and field teams in resolving complex system and image quality issues.
Mentor junior systems engineers and contribute to systems engineering best practices.

In our group, we research, develop, and deploy state-of-the-art lidar perception and deep learning technologies to achieve world-class performance, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems. We are looking for a passionate engineer with strong expertise in deep learning, computer vision, and large-scale data-driven algorithm development.
What will your job look like:
Research, design, develop, and implement advanced lidar-based perception algorithms using state-of-the-art deep learning and computer vision techniques
Develop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding
Evaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiency
Analyze and validate algorithms on large-scale real-world datasets collected by our vehicles worldwide
Collaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready models
Optimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platforms
Stay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems.

Required R&D Clinical Imaging Engineer - Contractor
Innovation starts from the heart. We put patients first. We invest a significant proportion of our revenue towards research and development to drive and develop groundbreaking medical innovations for structural heart disease. As part of our R&D Engineering team, you will work closely with our Quality and Manufacturing teams to develop the latest tools and technologies to address significant, unmet clinical needs that impact patients lives around the world.
Job Summary:
R&D Engineer - Clinical Imaging focused on TAVR-related processes, leading research and knowledge integration to support process implementation and algorithm development for cardiac CT analysis.
The role involves defining segmentation protocols, standardizing clinical data, and collaborating closely with clinical specialists and multidisciplinary teams, with a strong understanding of the clinical aspects of TAVR planning.
How you will make an impact:
Develop and own segmentation protocols for complex cardiac structures to ensure high-quality and reproducible data
Support the generation, preparation, and interpretation of cardiac CT data used across multiple project workstreams.
Develop Python-based tools for medical data processing, including DICOM handling and anonymization
Collaborate closely with physicians and Clinical Specialists to translate clinical needs into technical solutions
Act as a key integration point between physicians, Clinical Specialists, software developers, simulation engineers, and algorithm teams to ensure alignment and successful project execution
Drive cross-functional collaboration, proactively identify gaps and requirements, and ensure that clinical and technical needs are effectively translated into project deliverables.
Standardize ground truth definitions and anatomical annotations for use in algorithm and AI development
Evaluate and implement segmentation and analysis tools based on performance, usability, and scalability
Lead tasks end-to-end, from concept and investigation to implementation and delivery
Define algorithmic requirements for TAVR-related measurements, including centerline extraction, plane definition, and geometric calculations.

Required Algorithm Software Engineer- Medical Imaging
Job Description Summary
The Reconstruction Software Engineer is responsible for design and implementation of medical imaging tomographic reconstruction software, through definition of architecture, design, coding and performance optimization. The software is part of Molecular Imaging scanner products.
Job Description
Roles and Responsibilities:
Coding of algorithms and reconstruction tools in C++ / OpenCL / CUDA parallel environments.
Architecture and design of complex software subsystems.
Work with algorithms engineers and scientists to understand mathematical and physical algorithms, and design optimal solutions to implement the algorithms.
Work with other software teams to define interfaces between the Reconstruction environment and other software subsystems.
Optimize reconstruction engines to meet performance run-time requirements and usage of memory resources.
Write software requirements and design documents.
Design and execute software unit-tests.
Define and support Verification & Validation team in design and execution of system testing plans.
Support field investigations - upon need.
Data and configuration management and control of generated code.
Initiate and conduct technical reviews of work done.
Get to know trends and new technologies in the computing and software industry.

Required Senior R&D System Application Engineer (12 Months Contract)
Innovation starts from the heart. We put patients first. We invest a significant proportion of our revenue towards research and development to drive and develop groundbreaking medical innovations for structural heart disease. As part of our R&D Engineering team, you will work closely with our Quality and Manufacturing teams to develop the latest tools and technologies to address significant, unmet clinical needs that impact patients lives around the world.
What will you do?
You will be part of an R&D team responsible for the development, integration, and validation of medical device systems. With a strong emphasis on hands-on development, data-driven engineering, with a problem-solving mindset. you will contribute to the full product development lifecycle - from the need, through signal processing and GUI development to system testing and clinical application. This role is designed for engineers who are passionate about building and refining medical device technologies in a multidisciplinary environment.
How youll make an impact:
Develop and improve medical device features within the portfolio as part of a multidisciplinary R&D team that includes mechanical, hardware, and software engineers. Main activities include - procedure development, algorithm development, GUI design and implementation, scripting, test automation, data acquisition, and data analysis and visualization.
Participate in the design and development of system-level features, supporting architecture decisions and translating clinical and functional requirements into working solutions.
Perform hands-on testing of medical device systems (implant systems, hardware, and software), including functional, integration, and exploratory testing to validate design performance and clinical readiness.
Lead test design efforts, including writing test cases, test procedures, and test reports. Collect, analyse, and summarize test data to support design decisions and issue investigations.
Execute and support test protocols in lab and simulated clinical environments. Accurately document results, observations, and issues to ensure traceability and compliance.
Collaborate with stakeholders and colleagues - including caregivers, R&D engineers, clinical specialists, marketing, and quality teams - to understand system behaviour, clinical workflows, and end-user needs, ensuring that developed solutions align with real-world application requirements.

Required SoC Quality and Reliability Engineer, 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.
Our data centers are the most advanced in the world. In this role, you will help build the state-of-the art SoCs that power these data centers by driving quality and reliability processes from the Integrated Circuit perspective. This is an opportunity to create silicon and follow it into the field (and back!) to drive improvements for the next-generations of chips.
In this role, you will understand Integrated circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross-functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. Within the larger organization you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
Responsibilities
Drive the strategic definition and development of Design-for-Reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure robust silicon and package verification.
Execute comprehensive silicon and package qualification programs (including HTOL, ELFR, ESD/LU, b/HAST, etc.) and conduct in-depth failure analysis to resolve quality issues.
Extract and analyze large-scale data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, TDDB, NBTI) to predict device failure mechanisms and lifetime behaviors.

Lead the Product Management function across multidisciplinary development teams, driving best-in-class product ownership methodologies from concept to launch. Act as the strategic commercial bridge between global field teams and R&D, evaluating business needs for ROI and strictly enforcing R&D intake phase-gates to manage WIP limits. Own and author the Product Requirements Document (PRD) & Marketing Requirements Document (MRD), seamlessly translating complex clinical and business workflows into definitive technical product specifications. Drive usability engineering and human factors testing (IEC 62366-1) specifically tailored for complex medical aesthetics devices Cross-Functional Collaboration with system Engineering, Hardware, Software, V&V, Clinical and Regulatory teams to ensure product vision is executed without scope & feature creep. Play a pivotal role in shaping innovative, broad, and technologically advanced medical products. Ensure alignment between product management and regulatory/clinical/quality requirements. Recruit, mentor, and manage a high-performing team of Product Managers / Product Owners as the department scales Standardize product management frameworks, methodologies (for PRDs/MRDs), and lifecycle processes within the R&D division

Required SOC Quality and Reliability Engineer, 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.
Our data centers are the most advanced in the world. In this role, you will help build the SoCs that power these data centers by driving quality and reliability processes from the integrated circuit perspective. You will create silicon and follow it into the field (and back) to drive improvements for the next generations of chips.
You will have an understanding of IC flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. Within the larger organization you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.

Responsibilities
Drive the strategic definition and development of design-for-reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure silicon and package verification.
Execute comprehensive silicon and package qualification programs (including high-temperature operating life (HTOL), early life failure rate (ELFR), electrostatic discharge/latch-up (ESD/LU), biased highly accelerated stress test (b/HAST), etc.) and conduct failure analysis to resolve quality issues.
Extract and analyze data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, time-dependent dielectric breakdown (TDDB), negative bias temperature instability (NBTI) to predict device failure mechanisms and lifetime behaviors.

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 an experienced and self-driven Systems Engineering Functional Manager to lead our systems engineering team for our CT/AMI detection platform (DMS). This team is responsible for the full lifecycle of system-level development from systems design, requirements management, architecture design, execution of technical reviews, setting the integration plan to verification, validation, and regulatory compliance.

Your role:
Lead and mentor a multidisciplinary systems engineering team, fostering growth, collaboration, and technical excellence.
Provide strategic and hands-on technical guidance in the development of CT/AMI detection platforms.
Oversee engineering planning and execution to support complex project ensuring timelines and quality standards are met.
Resource assignment and prioritization including headcount and budget management.
Working across functions and team boundaries to define, design, and implement the next generation of products.
Decision making in cross-disciplinary and architectural aspects.
Drive continuous improvement in engineering and systems engineering processes and tools.
Support audits and regulatory inspections as a subject matter expert.
Represent DMS System Design in global engineering forums and initiatives.