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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.

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:
What we need to see:

B.Sc. (or equivalent experience) in computer science/software engineering.

3+ years confirmed experience of Programming C/C++.

3+ years confirmed experience in Linux environment and tools.

Experience with Networking Protocols mainly Ethernet, and security protocols.

Experience with virtualization technologies.

Strong analytical, debugging, and problem-solving skills.

Knowledge of computer architecture and operating systems.

Experience in performance optimizations.

Ways to stand out from the crowd:

Experience working with AI empowered dev tools.

Knowledge and experience with designing SDKs.

Open Source Software Contributor to relevant projects (OvS, DPDK, Linux Kernel..).

A positive demeanor, a growth mindset, and excellent interactions with colleagues.

Requirements:
3+ years of experience as a full-stack software developer, with significant experience in both front-end and back-end development.
Strong proficiency in Node.js for back-end development.
Demonstrable experience with modern front-end frameworks, specifically including ReactJS, for building single-page applications.
Proficient in working with both SQL and NoSQL databases.
Extensive experience consuming and building web services, particularly RESTful services.
Solid understanding of core networking concepts, including but not limited to the HTTP protocol and web sockets.
Proven ability to troubleshoot and debug browser-related issues using standard practices and techniques.
An Advantage:
Experience with Kubernetes for container orchestration.
Experience with cloud platforms (e.g., AWS, Azure, GCP)

Requirements:
What we need to see:

Bachelor's degree in Computer Science/Engineering or equivalent experience

5+ years developing software for embedded systems (C is required, Python)

Proven understanding of the system software stack, with a focus on software/hardware interaction, including platform firmware, device drivers, Linux kernel, and how user-space applications utilize system services to achieve high performance.

A deep knowledge of high-performance processor architecture including CPU and cache coherency concepts, as well as hardware accelerators.

Well-rounded engineering skills, including technical investigation, design, testing, and agile software engineering process.

Outstanding written and oral communication skills.

Must be proficient in the C programming language.

Experienced with build environment tools (gcc, git, github, make, bitbake, shell scripts, gerrit, jenkins, etc).

Ways to stand out from the crowd:

Background with ARMv8 microarchitecture, ATF and/or UEFI software is a strong plus.

Experience with multiple Linux distributions, with the ability to compare and contrast them.

Experience developing security key management solutions is very desirable.

Exposure to secure boot flows and/or trusted computing environments.

Requirements:
What we need to see:

BSc, MS, or PhD in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience.

10+ years of proven experience.

Background with embedded systems and programming low-level firmware, as well as being familiar with Security-by-design hardware and principles of privileges.

Experience in the compartmentalization of software with security standards to isolate critical assets.

Programming and debugging fundamentals across languages such as Python, ARM assembly, and C/C++.

The ideal candidate will enjoy working in a diverse team, with excellent communication skills and a genuine passion for teamwork.

Solid programming skills and a deep understanding of secure system building.

Ways to stand out from the crowd:

Background in networking (TCP/IP), network security (TLS/IPSec), and packet processing technologies.

Proven track record of leading features across teams.

Expertise with Linux security primitives and microkernels architecture.