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we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. At our company, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

We are looking for engineers with proven experience working with large-scale datasets and distributed systems, who are passionate about data quality, performance, and system reliability.

Responsibilities:

Design and implement scalable, fault-tolerant ETL pipelines using Apache Spark for high-throughput, real-time and batch data processing.
Develop and manage CI/CD pipelines, testing strategies, and data quality frameworks to ensure robust data workflows.
Collaborate with data scientists, analysts, and product teams to build data models, maintain data lineage, and surface insights that drive business value.
Evaluate and integrate new technologies to enhance performance, scalability, and cost-efficiency in our data ecosystem.
Own and evolve critical components of our data infrastructure, with a deep understanding of both technical architecture and business context.

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. At our company, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

we are a pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car a large-scale, multi-task neural network that powers the core of our companys autonomous stack. Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If youre a brilliant, hands-on researcher with a passion for shaping the future this is your launchpad.
Why us?
Our team is at the forefront of our companys most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers this is the place to be.

we are seeking a driven and dynamic Software Execution Manager to join the AV Platform Deployment team and help shape the future of Autonomous Driving systems. This role involves managing the execution of our company commitments, leading technical discussions, and ensuring timely software delivery.
What will your job look like?
Lead external and internal technical discussions to determine and integrate delivered features.
Manage execution of our company commitments to automotive partners, including determining Platform SW (base SW) delivery content and timeline.
Define product roadmap and release planning, track execution, and remove blockers.
Collaborate with R&D, System teams, external suppliers and customers to ensure quality and timely delivery.
Identify and close gaps in execution efforts across all projects.

The ERP Applications team is part of our companys Information Systems department and manages our company's ERP Business Applications portfolio. The team collaborates with our Finance, Logistics, Purchasing, Sales, Engineering, IT, and BI departments. We are responsible for gathering business requirements, detailed designs, new implementations and developments, various system integrations, and providing ongoing application support.
What will your job look like:
Technical Leadership: NetSuite Solution Architecture, setting technical standards, and guiding project direction.
Develop, implement, and maintain solutions across our companys ERP applications portfolio.
Translate business requirements into technical designs and system enhancements.
Manage and control integration processes with internal and external systems.
Lead and participate in ERP-related projects together with BI and integration teams.
System Optimization: Troubleshoot, debug, analyze performance, and implement solutions for complex issues, ensuring data integrity and security. Serve as a NetSuite subject matter expert within our company.

We're looking for a Senior DevOps Engineer with a passion for driving efficiency and reliability. You will play a key role in evolving our DevOps practices, leading the charge on critical infrastructure initiatives and enhancing our deployment pipelines. This position involves close collaboration with engineering and product teams to translate business needs into resilient, available, and secure systems.

Responsibilities:

Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale.
Improve the resiliency and cost efficiency of our cloud infrastructure.
Collaborate with developers to optimize service performance, reliability, and scale.

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At Bigabid, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.

Responsibilities:

Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.

We are looking for a passionate and talented AI Engineer to join our mission - leveraging Generative AI (GenAI) to power smarter healthcare, enhance clinical insights, and accelerate the adoption of transformative technologies across the organization.

Job Description

As an AI Engineer at Eitan Medical, you will be part of a team committed to bringing life-changing innovation to patients and clinicians. You will lead the integration of Generative AI into our Insights platform, helping transform complex medical data into actionable insights that support better clinical decisions, personalized treatments, and improved patient outcomes.

In parallel, you will drive AI adoption across internal departments, enabling digital transformation, operational efficiency, and intelligent automation that empower teams company-wide.

This is a highly cross-functional role, collaborating with data engineers, data analysts, product managers, and full-stack developers to build and deploy impactful, scalable, and responsible AI solutions.

We are seeking someone curious, self-driven, and forward-thinking - a technologist who stays ahead of industry trends and actively identifies opportunities to bring cutting-edge

As an AI Engineer at Eitan Medical, you will play a vital role in integrating Generative AI technologies into both our SaaS healthcare platforms and internal business operations. Your work will directly contribute to improving clinical decision-making, optimizing treatment pathways, and enabling intelligent automation that enhances patient outcomes and operational efficiency.

You will collaborate closely with data engineers, data analysts, product managers, and full-stack developers, turning cutting-edge AI concepts into production-ready solutions that drive real-world impact.

This role is ideal for a curious, self-driven technologist who thrives on staying ahead of industry trends, identifying opportunities for innovation, and applying the latest AI technologies responsibly and effectively.



Key Responsibilities

Integrate Generative AI (GenAI) capabilities into Eitans SaaS platforms to enhance clinical decision support, treatment optimization, and actionable medical insights.
Identify and lead AI-driven initiatives across departments to streamline processes, boost productivity, and accelerate innovation.
Design and implement AI-powered systems, including RAG architectures and agentic workflows, using frameworks such as LangChain, LlamaIndex, or similar.
Develop effective prompt strategies and reasoning pipelines for adaptive, context-aware, and explainable AI behavior.
Monitor and optimize AI system performance, maintaining accuracy, reliability, and safety in healthcare contexts.
Stay ahead of emerging AI research and tools, evaluating new technologies for their potential to deliver measurable clinical and business impact.

we are seeking an experienced Embedded Software Engineer to help develop advanced, reliable, and connected infusion systems. This role is ideal for a hands-on engineer with deep technical expertise who enjoys tackling complex challenges, owning system components end-to-end, and collaborating closely with multidisciplinary teams to deliver high-impact medical devices.



What Youll Do

Participate in the full development lifecycle from concept, architecture, and coding to integration, testing, verification, and production validation.
Design and implement embedded software for safety-critical medical devices.
Develop firmware, drivers, communication protocols, and RTOS-based components.
Collaborate with hardware, product, QA, and cloud teams to define and refine system requirements.
Support board bring-up and perform hardwaresoftware integration and deep system debugging.
Build robust diagnostics, monitoring, and logging capabilities to enhance field performance.
Troubleshoot complex issues involving timing, real-time behavior, connectivity, and stability.
Contribute to architecture discussions, code reviews, and continuous engineering improvements.
Ensure development aligns with medical-grade quality, safety, and cybersecurity standards.

Required IT Support Engineer
Job Description
As an IT Support Engineer, youll play a pivotal role in ensuring smooth technical operations and efficient support for our employees across the globe. Youll work in a dynamic, multi-OS environment, managing IT systems, providing excellent support, and contributing to innovative IT projects. In your day-to-day, you will :
Ensure employees are provided efficient and timely desktop and local infrastructure support across the organization
Provide professional and efficient IT support to our employees across different locations and time zones remotely
Manage, monitor, and respond to requests received through the IT Helpdesk in line with our agreed SLAs
Manage the companys IT environment, including infrastructure, computers, end-users, and permission management
Take part in projects that include testing and implementing new technologies, improving processes for smart/automated ones, and enhancing service with smart AI tools
Manage onboarding and offboarding processes for on-site and remote workers.

We are looking for a senior deep learning algorithm developer to join our growing team under our companys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Own dataset curation activities- acquiring, cleaning, labeling, and tailoring multimodal data to meet model training and validation requirements.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Lead robust validation of advanced multimodal models - ensuring reliable vision-language-action alignment and consistent performance across diverse real-world driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.

We're looking for a talented Fullstack Developer to join our mission to change how products get built. You'll be a key player in a fast-moving, collaborative team, taking full ownership of features from the database all the way to the user's screen. If you're a passionate engineer who loves solving hard problems with clean, elegant code, we want to hear from you.
TL;DR
We are looking for Fullstack Developer with deep backend experience to build end-to-end features on our AI platform.
You should be passionate about using AI to innovate both our product and your own development process.
What You'll Do:
Own end-to-end features, designing and building scalable solutions across our backend and frontend systems.
Tackle tough technical challenges with creative and efficient solutions, working on a cutting-edge, AI-powered platform.
Push your code to millions of users, making a tangible impact every day.
Champion TDD and clean code principles to write simple, readable, and highly maintainable software.
Grow your expertise by learning from top-notch engineers and expanding your skills in new domains, including modern frontend development.
Influence our engineering culture by contributing to internal knowledge sharing and, if you're interested, the open-source community.

We are seeking a talented AI Engineer to join our dynamic team and help build cutting-edge AI-powered applications. You'll work at the intersection of modern web development and artificial intelligence, creating intelligent solutions that leverage the latest in AI frameworks and cloud technologies.

Responsibilities
What Youll Be Doing

Design and develop AI-powered applications using LangChain and LangGraph frameworks
Implement and optimize Model context protocol (MCP) integrations for AI agent workflows
Create sophisticated prompting strategies and prompt engineering solutions
Build robust backend services using Node.js and NestJS
Design and manage data pipelines with MongoDB and Redis for caching and session management
Collaborate with cross-functional teams to integrate AI capabilities into existing products
Research and implement emerging AI technologies and best practices
Optimize AI model performance and cost-effectiveness
Write clean, maintainable, and well-documented code

Were looking for a highly skilled Python Developer to join our engineering team. In this role, youll design, develop, and maintain backend systems that support our companys production and internal applications. Youll work across teams to deliver scalable, high-availability solutions, ensuring smooth operation of production environments and future web-based applications.
What will your job look like?
Design, develop, and maintain scalable, high-performance backend systems using Python.
Collaborate with cross-functional teams to build end-to-end solutions, occasionally including frontend integration using modern frameworks (React, Angular, or Vue).
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and data integrity.
Support and enhance production line applications, ensuring high availability, resilience, and fault tolerance.
Build, containerize, and deploy applications using Docker and Kubernetes on Linux environments.
Implement and manage CI/CD pipelines using GitLab CI for automated testing and deployment.
Work with AWS services to deploy, monitor, and scale applications in the cloud.
Optimize performance-critical components using C++ and/or Cython where needed.
Participate in architecture design, code reviews, and mentoring of junior developers.