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we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

Our Unit Level Verification Team in Haifa is looking for an experienced verification engineer to be involved in the development of our future AI and deep learning HW accelerators.
This is an exciting opportunity to join a team of highly talented engineers, working on the most cutting-edge technologies to deliver our EyeQ future chips, aimed to power the worlds first fully Autonomous Vehicle!
What will your job look like?
Define, implement and enhance verification environments using UVM methodology.
Write and debug tests that combine UVM methodology and SW code.
Identify and write various types of coverage measures.
Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs.

Our Automated Driving group in Haifa is looking for a Junior DFT Engineer.
This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting edge technologies - Autonomous Vehicle (AV) SoC.

At our Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating!
We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV).
What will your job look like:
Develop all the necessary HW / FW / SW for the different modules
Verify and Validate our design
Debug and analyze coverage and yield loss
As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts as it required by the Automotive and Safety related products market (ISO26262).

We're looking for a proactive Compliance Officer to join our Global Compliance Department. This key role focuses on product compliance, through the enforcement of our internal standards, prevention of misuse, and the promotion of ethical practices across the organization. You'll implement business principles, ethics procedures including KYC procedures, and manage projects while supporting overall Compliance and Ethics initiatives.
Responsibilities
Develop and maintain compliance policies, ensuring alignment with our company's values.
Oversee ethical compliance in service usage.
Detect and prevent fraud and create prevention tools.
Conduct audits to ensure policy adherence and recommend improvements.
Communicate directly with, and evaluate customers and partners, for policy alignment and to provide guidance.
Report findings and update policies to address new risks.

We are looking for a skilled and motivated Embedded SW Integration Team Lead for the Platform OS Department to manage the daily integration of the OS deliveries into our SW stack. The Platform OS team is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. Youll lead a fast-paced, hands-on and dynamic team of integration and automation engineers, contributing to the overall qualification and integration effort while collaborating with other teams across the organization.
What will your job look like:
Lead and mentor a team of 4-6 SW Integration and Automation engineers
Manage the daily integration of the aggregated delivery of all OS teams upstream into our SW stack.
Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts.
Managing a daily integration forum to track nightly tests reports, triaging new issues found and assigning them to development teams.
System level understanding of the OS features and tracking the test coverage developed by the OS developers.
Tracking the utilization, health and allocation of the HW resources in the farm.
Balancing test coverage to HW availability through tracking CI load.
Acting as a PoC for all OS integration issues. Both within the OS teams and externally.
Tracking bug escapes and their mitigation in the OS test coverage.

our company powers mission‑critical decisions for leading enterprises by making public web data accessible, reliable, and compliant at scale.
As Head of Solutions Architecture, you will lead our global Solutions Architecture organization, owning the technical strategy that drives customer outcomes across pre‑sales, onboarding, and post‑sales expansion.
You will set the bar for technical excellence, establish repeatable solution patterns, and serve as the executive technical voice with our most strategic customers.
This is a highly cross‑functional, impact‑driven role that partners closely with Sales, Product, and Engineering to deliver scalable, secure, and high‑value data solutions.
Direct reporting to our companys Chief Revenue Officer.
Responsibilities
Lead and mentor the global Solutions Architecture team: hiring, coaching, capacity planning, and clear operating standards (discovery, design, POCs, handoffs).
Drive pre-sales excellence and deal leadership: ensure full technical coverage, create playbooks /demos /reference architectures, and personally de-risk complex, high-value deals.
Own strategic customer outcomes post-sale: attend post sales cadences, surface opportunities and risks, train on best practices, and drive adoption, performance, and compliant use.
Systematize processes and tooling: establish repeatable workflows for scoping, POCs, implementations, and handoffs; instrument dashboards for time-to-value, win rate, cycle time, adoption, and expansion.
Partner cross-functionally: work with Sales, Product, and Engineering to deliver scalable, reliable solutions and feed field insights into the roadmap.
Serve as the technical authority: maintain deep expertise in our company products, proxy orchestration, headless browsing, and data pipelines; publish best practices and solution patterns.
Champion governance and risk: uphold privacy, security, and acceptable-use standards; guide customers through compliance requirements.

we are seeking a highly experienced Senior Application Security Engineer to join our Information Security team.
In this pivotal role, you'll be instrumental in integrating security best practices throughout our entire Software Development Life Cycle (SDLC), collaborating closely with R&D, DevOps, and Product teams.
In addition, you will connect security with development, guiding engineering teams to create secure applications by integrating security best practices into our Software Development Life Cycle (SDLC).
Responsibilities
Drive the integration of security controls and best practices in the software development lifecycle.
Lead secure product design, embedding security principles from the beginning stages.
Conduct security code reviews and reduce vulnerabilities alongside R&D teams.
Manage and optimize the Web Application Firewall (WAF) for threat protection.
Collaborate on penetration test remediation, ensuring effective resolutions.
Implement and enforce API security standards.
Establish and maintain development guidelines for secure practices.
Support and enhance the bug bounty program.
Provide guidance and mentorship on secure coding and application security.

We're looking for an exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.
In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.
*Hybrid position.
Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

Our EyeQ Platform Group (EPG) is seeking a motivated Formal Verification Engineer to join our team and contribute to development of hardware verification environments.
This position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems.
This is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle.
What will your job look like:
Be the owner of formal verification environment from first draft to sign-off stage
Apply formal methods to verify the correctness of various complex digital systems
Work with HW architects\designers to define assumptions, rules and cover properties
Help define the formal verification methodology and environment to be applied by the team
Explore new Formal methods and Tools
Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
Develop generic formal blocks\functions of commonly used logic, to be later used off the shelf.

We are seeking a skilled Failure Analysis (FA) Engineer with expertise in X-ray inspection techniques to join our AV Platform team. The ideal candidate will specialize in using advanced X-ray imaging and other analysis methods to investigate product failures, identify root causes, and provide actionable insights to improve product quality and reliability
What will your job look like?
Perform detailed failure analysis using X-ray imaging systems and related diagnostic tools to inspect electronic components, assemblies, and materials.
Interpret and analyze X-ray images to detect structural anomalies, defects, voids, cracks, delamination, and other failure mechanisms.
Develop and optimize X-ray inspection procedures and protocols for failure analysis and quality control.
Prepare test specimens: cutting, mounting, grinding, polishing and chemical etching
Collaborate with product engineering, quality assurance, and manufacturing teams to support product development, troubleshooting, and continuous improvement efforts.
Prepare detailed technical reports documenting findings, root cause analyses, and recommended corrective actions.
Support reliability testing and failure mode analysis for new and existing products.

Were looking for a Data Engineer who takes full ownership, works independently, and delivers results with speed and precision.
You are a fast learner who quickly adapts to new tools and concepts, communicates clearly across teams, and documents your work effectively. You pay attention to details, stay organized, and are committed to getting things done with continuous improvement.
Responsibilities
Design, implement, and maintain robust data pipelines to process and manage large-scale datasets, including auto-tagging for expanding training and validation data.
Develop intelligent search and filtering techniques and utilities to query relevant data and expedite data discovery.
Identify impactful driving scenarios across large datasets, enrich them into diverse, high-quality datasets for development usage.
Leverage NN models to support automatic labelling processes and data mining.
Create or customize data annotations tools, integrating automated quality assurance and auto-tagging algorithms to make data pipelines more efficient.
Design and manage processes for synthetic data generation.
Data processes documentation and communicates progress to stakeholders.

we are a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.
At our company, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.
we are backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast and Knorr-Bremse, with headquarters at the heart of Tel Aviv.
Responsibilities
The Data engineer is responsible for the definition of the data ecosystem used by the object detection team our company .
Overseeing the companys data pipeline system and processes including organizing, storing, labeling, and analyzing the data received, to ensure timely delivery of high-quality data required for the development projects of the company.
Establish and implement an effective process for data management, and build a strong team of data annotation specialists.
Data team management: group management, monitoring data tasks, monitoring of the work pace and improving processes to ensure efficient processes
Working closely with R&D and product management teams, algorithms, functional testing specialists, and data tagging professionals to ensure successful kickoff and execution of required projects including manpower planning, the correct definition of requirements, training materials preparation, and progress follow-up.
Provide Data for training deep learning networks.
Collect and analyze data for the effectiveness of the projects, using scripts, python queries, and building dashboards
Test new annotation tools and improve existing ones, validate the quality of the annotated data.

As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Our Automated Driving group in Haifa is looking for an experienced SoC Design Engineer for DFT team.
This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting edge technologies - Autonomous Vehicle (AV) SoC.
At our Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating!
We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV).
What will your job look like:
You'll be responsible of architecture of the DFT solutions across the SOC (MBIST, SCAN, ATPG, LBIST and more)
Develop all the necessary HW / FW / SW for the different modules
Verify and Validate our design
Debug and analyze coverage and yield loss
As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts as it required by the Automotive and Safety related products market (ISO26262).