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Requirements:
Requirements:
B.Sc. in computer science or a similar degree - Must have.
0-2 years of hands-on Java experience.
Deep understanding of object-oriented design.
Strong Server-Side Skills.
Experience with large-scale production databases.
Familiar with microservices and CI/CD.
A get-things-done approach.
Experience working on a data-intensive product, strong analytical thinking, systematic problem-solving skills.

Preferred:
AWS, Kafka, Docker, Airflow, Snowflake, MySQL, Single Store - a Strong Advantage.
Experience in React/ fullstack development.
Experience in a Big Data development role.
Experience in developing SaaS products & platforms.
GenAI experience.

Requirements:
Previous experience of at least 4-6 years as a full stack engineer.
Bachelor's degree in Computer Science, Software Engineering, or a related field.
Strong proficiency in TypeScript is a must. Solid understanding of HTML, and CSS is also required.
Experience with Frontend frameworks of one or more: Vue, React, or Angular.
Experience with Node.js or Python- An advantage.
Experience using Electron.js - An advantage.
Working with NoSQL or SQL databases - An advantage.
Leadership experience as a Tech Lead, Team Lead, or in driving significant projects an advantage.

Requirements:
4 years of experience as a Backend Engineer.
B.Sc in computer science, software engineering or a related field, from a well known university.
Proficiency in at least one major cloud platform - AWS, GCP, or Azure.
Proven expertise in backend server development, using languages like Python, Scala, Go, or Java.
Experience with developing and maintaining distributed systems.
Experience designing RESTful APIs.
​​Experience working with SQL or NoSQL databases.
Familiarity with Agile methodologies and CI/CD pipelines - an advantage.

Requirements:
We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If youre ready to join us in this mission, take a closer look at the minimum criteria for the position.

Bachelors degree in Computer Engineering, Computer Science, Electrical Engineering or related discipline; masters degree is preferred
5+ years experience programming instrumentation, demonstrating a deep understanding of industry best practices; experience will be supporting hardware product systems development
Proven expertise in C# development, showcasing proficiency in creating efficient and scalable software solutions
Familiarity with version control systems, specifically GIT, is advantageous
Excellent troubleshooting, debugging and problem-solving skills
Operating Systems: Windows
Development Tools experience preferred: Visual Studio, Jira
Background and/or experience with optics is preferred
Background and/or experience with embedded programming is preferred
Semiconductor testing knowledge is preferred
Dedication to excellence, efficiency and product quality
Ability to work effectively in a fast-paced, dynamic, team-oriented environment

Requirements:
3+ years experience as an Algorithm/Machine Learning Engineer.
1+ years hands-on experience developing and deploying LLM-based applications in production
Proficiency in Python and experience with Gen AI, Gen-related Python libraries and modules.
Solid understanding of cloud environments (AWS, GCP, or Azure)
Strong research and problem-solving mindset; ability to keep up with state-of-the-art in AI.
Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine-tuning, inference, and more Advantage
Experience with agent-based architectures (tool orchestration, retrieval-augmented generation, structured reasoning) Advantage.
Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval Advantage.
Strong analytical mindset, fast learner, and highly motivated to explore new tools and AI techniques.
Excellent teamwork, communication, and ability to thrive in a fast-moving startup environment.
Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field.

Requirements:
5+ years of experience in developing and optimizing Computer Vision algorithms.
Hands-on experience with Deep Learning architectures, including CNNs, Transformers, and diffusion models, as well as knowledge of classic machine learning and unsupervised learning techniques.
Expertise in image processing, object detection, segmentation, and feature extraction.
Strong proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, OpenCV, and Hugging Face.
Experience working with large-scale datasets and optimizing models for real-world applications.
Proven track record of developing and deploying real-world solutions using Deep Learning methods.
Familiarity with cloud-based AI deployment (AWS) and ML Ops tools-Advantage.
Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field.

Requirements:
3+ years experience with software development (preferably in NodeJS).
Bachelors degree in Computer Science or Software Engineering.
Experience with integrating AI solutions in data pipelines, and production-level systems.
Hands-on experience working with LLMs (e.g., GPT-4, Claude, or open-source models).
Strong understanding of prompt engineering, embeddings, and basic model tuning.
Ability to translate abstract problems into practical AI tools.

Requirements:
4+ years of experience as a Software Engineer, including design & development.
Proven experience with Java or Go.
Experience in the design and development of scalable big data solutions.
Experience working in a cloud-based environment.
Passionate about technologies, frameworks, and best practices.
Ability to work in a fast-paced environment.
Advantages:
Experience with Spring / Kubernetes.
Experience with Terraform / Helm / Argo

Requirements:
3+ years of experience in a DevOps role, with a comprehensive understanding of practices that promote streamlined development and operational efficiency.
Strong coding skills in Python and Groovy, capable of developing, debugging, and optimizing code effectively
Proven success in maintaining a production-ready Kubernetes cluster, ensuring its high availability and scalability to support large-scale operations
Extensive management experience of multiple AWS accounts spanning various regions, proficient in services like Lambda, CloudFront, SQS, VPC, and IAM
Expertise in utilizing CI/CD platforms such as GitHub Actions and Jenkins, including crafting workflows, custom GitHub actions, Groovy scripts, and devising robust pipelines
In-depth knowledge of build/release systems including writing Helm Charts from scratch and ArgoCD
Solid experience with Terraform
Experience with maintaining Linux systems and monitoring them
An innovative thinker with a propensity for fast learning, known for possessing a strong sense of ownership and accountability in delivering quality solutions
An Advantage:
Advanced skills in managing, installing, and configuring Kafka solutions like MSK and Apache Kafka
Monitoring , cost and cloud optimizations using AI tools
Experience with Redis, AWS ElasticCache or any other key value DBs
CloudFlare Management.

Requirements:
4+ years of proven experience as a DevOps engineer, with a preference for those experienced with Generative AI tools
2+ years of hands-on experience with cloud architectures such as GCP or AWS
2+ years managing and administering Linux-based systems
Proficiency in containerized environments and micro-services, including Docker and Kubernetes
Deep understanding of CI/CD principles and tools, with practical experience using Git and ArgoCD
Strong programming skills (Python, Bash, etc.)
Familiarity with monitoring tools like New Relic, Grafana, Prometheus, and other relevant technologies
Innovative and ability to quickly learn new and existing technologies
Excellent problem-solving abilities and the capacity to work independently in a fast-paced environment

Requirements:
For a cutting-edge medical device company, we are seeking an experienced, motivated software engineer to join our team. Main Responsibilities:
*The candidate will be responsible for the software development of a medical robot in a fastgrowing environment and will be charged with developing Embedded code and support testing and HW activities.
*Design, develop, and maintain Embedded software for robotic medical systems
*Develop, maintain and management of SW for production and testing of assembly line instruments
*Develop and maintain drivers and interfaces
*Implement and TEST communication protocols
*Support HW, Mechanics, and V&V activities
*Participate in code reviews and maintain software quality standards and ensure compliance with medical device regulations and software development standards
*Optimize, and improve existing software systems
*Collaborate in cross-functional teams (R&D and Operations), contributing to both design and implementation decisions
*Contribute to project planning, timelines, and deliverables for Embedded software development Requirements:
*B.Sc. in SW Engineering/ Computer Science / Electrical engineering / Practical Electrical Engineer with relevant background
*Over 5 years of experience as an Embedded software engineer with the following qualifications:
o Knowledge in software languages:
C proficient
Python must
C ++, JAVA, Kotlin, C #, Dart nice to have
o Must have experience with low level and drivers programming
o Experience in SPI, UART, I2C, TCP, UDP, etc. nice to have
o Knowledge of RF communication protocols (WiFi, BLE, SUBG) nice to have
o Knowledge in IAR or equivalent tools.
*Experience in the medical devices industry a significant advantage
*Ability to understand and implement electronic components specification and schemes
* data base development and management an advantage
*Must be a team-player but capable of handling a project end to end.