לוח משרות דרושים הייטק תוכנה

Requirements:
Must-Have 10+ years of proven experience in C programming for RT Embedded systems 10+ years of proven experience in BSP/Drivers development under VxWorks 6/7 OS
* Proven experience in BSP/Drivers development under VxWorks 653 OS
* Proven experience in bare metal BSP development (no OS) BSc in Computer Science or Engineering Fluent English – verbal and written Nice to Have / Advantage
* Knowledge and experience with Avionic hardware interfaces and protocols (Advantage)

Requirements:
Requirements:
* BSc in Software Engineering, Computer Science or equivalent
* 5+ years of experience in Object-Oriented Programming (OOP) with C++
* 5+ years of experience in C
* 2+ years of experience with Python – an advantage
* Experience in user space application development in Linux
* Experience with Secure Boot, Secure Storage, TrustZone, OP-TEE, authentication/encryption – advantage.
* Experience with CANbus, WiFi, BLE, Cellular, and SubGHz driver development – advantage.
* Proven experience in building complex, high-performance systems and applications.
* Proven ability to lead technical projects and coordinate tasks across a team of developers
* Proficiency in using modern development tools and version control systems (e.g., Git, Docker, Buildroot..) SolarEdge recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance.

Requirements:
Technical Skills:
Programming Fundamentals: Basic to intermediate coding skills in JavaScript, Python, Java, or similar languages
Automation Frameworks: Familiarity with testing concepts; experience with Cypress or similar frameworks is a plus
Cloud Basics: Academic exposure or basic understanding of cloud platforms (AWS, Azure, or Google Cloud Platform)
AI Integration: Basic understanding of AI tools and their application in automation; experience with AI-powered testing tools, code generation, or prompt engineering is a plus
Networking: Fundamental understanding of networking concepts and protocols (TCP/IP, HTTP/HTTPS)
Version Control: Basic knowledge of Git; willingness to learn collaborative development workflows
CI/CD Concepts: Understanding of continuous integration concepts; hands-on experience is a plus

Education & Experience:
Recent Graduate: Bachelor's degree in Computer Science, Engineering, or related field (graduated within the last 2 years)
Strong academic record with relevant coursework in programming or software engineering
Academic Projects: Relevant coursework, internships, or personal projects in software development, testing, or automation
Entry-Level Experience: 0-1 years of professional experience; internships and academic projects will be considered

Soft Skills:
Learning Agility: Strong desire to learn new technologies and grow professionally
Team Collaboration: Ability to work effectively in team environments
Communication: Good verbal and written communication skills
Problem Solving: Analytical thinking and willingness to tackle technical challenges
Adaptability: Flexibility to learn and adapt to new tools and methodologies
Attention to Detail: Careful approach to work with focus on quality

Preferred Qualifications:
Academic exposure to containerization concepts (Docker, Kubernetes)
Coursework or personal projects involving Infrastructure as Code concepts
Familiarity with testing methodologies and software development lifecycle
Experience with API concepts and REST services
Any cloud-related certifications or online courses completed

Requirements:
3+ years in a senior technical leadership role (Tech Lead, Expert software Engineer).
Experience managing infrastructure on AWS
Experience with architecture methodologies and paradigms like micro-services, distributed systems and more.
Experience integrating and actively using GenAI tools (e.g., GitHub Copilot, Claude, ChatGPT etc) in daily development to accelerate development and improve quality.
Open-minded to new workflows and AI-driven innovation.
Experience with CI/CD tools (Jenkins, ArgoCD, Nexus and similar)
Experience with the Kubernetes platform and tools (Helm charts and similar)
Experience with the following technologies/tools/fields: Elasticsearch , Clickhouse, Messaging (Kafka,NATS,, Redis etc), Monitoring and Visibility (Prometheus, Grafana, loki, etc)
Programming languages Golang/ Java
Good Networking fundamentals (HTTP/S, DNS, load balancing)
Track record of designing backend architectures for complex systems.
Strong leadership and ownership mindset.
Excellent problem-solving abilities.
Ability to balance strategic thinking with hands-on execution.

Requirements:
6+ years of experience in infrastructure and Backend SW development roles.

Experience managing infrastructure on AWS.

Experience with architecture methodologies and paradigms like micro-services, distributed systems and more.

Experience integrating and actively using GenAI tools (e.g., GitHub Copilot, Claude, ChatGPT etc) in daily development must.

Open-minded to new workflows and AI-driven innovation.

An agile/DevOps way of thinking.

Experience with CI/CD tools (Jenkins, argot, Nexus and similar).

Experience with the K8S platform and tools (Helm charts and similar).

Experience with the following technologies/tools/fields: Elasticsearch , Clickhouse, Messaging (Kafka,NATS,, Redis etc), Monitoring and Visibility (Prometheus, Grafana, loki, etc).

Programming languages Golang/ Java.

Functioning well under pressure.

Strong problem-solving ability and a "Can-do approach".

Working in an agile environment.

Excellent communication and interpersonal skills.

Requirements:
You have:

Proven experience in B2B technical support, or equivalent military tech experience.

Ability to work Monday to Friday and to be part of an on-call rotation (off-hours/weekends).

Experience with ticketing and project management systems (Jira, Azure DevOps - advantage).

Experience with CRM platforms (our Dynamics 365 - advantage).

Deep understanding in troubleshooting system logs (ElasticSearch, Coralogix, Grafana - advantage).

familiarity with SQL queries & database structures (MySQL, MongoDB).

Experience with Windows environments (Active directory, Command-line).

Passion for troubleshooting, ability to come up with outside-of-the-box solutions for uncommon issues.

Can work independently and under pressure.

Ability to prioritize tasks in a fast-moving environment.

A strong team player who helps others navigate challenging technical problems.

Fluent English (both written and spoken).

Will be nice that you have:
Scripting knowledge & experience (Powershell, Python).
familiarity with Cloud environments (AWS).
familiarity with API methodologies (Auth methods, JSONs).
Bachelor of Sciences in Computer Science.

Requirements:
B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
At least 3-5 years of experience in data analysis, business intelligence, or a related field.
Strong Data analysis and presentation skills.
Proficiency in data analysis tools such as SQL, R, Python, and Excel.
Knowledge of statistical analysis techniques and methodologies.
Familiarity with database management systems and data warehousing.
Experience with data visualization tools like Tableau, Power BI, or similar.
Excellent communication and teamwork skills.
A curious mindset and a passion for solving complex problems.

Requirements:
Studying for Msc/PhD or last Year Bsc degree in a relevant field (Computer Science, EE, Physics, etc).
Motivated, eager to tackle challenges with a can do attitude.
Excellent communication and teamwork skills. Strong Data analysis and Presentation skills.
Strong Python programming skills, with the ability to write clean, modular, and testable production-grade code.
Experience with ML and numerical libraries (NumPy, Pandas, Scikit-learn, Pytorch, etc.).

Requirements:
B.Sc. degree in a related field; M.Sc./Ph.D. is an advantage.
Solid background in data analysis skills.
Track record managerial experience, leading a data analytics team.
Self-motivated with analytical skills and problem-solving orientation.
Experience in multidisciplinary systems engineering, laser technology, optical fibers, seismic signals, signal processing.
Strong collaborator with peers; excellent communication and teamwork skills.

Requirements:
Advanced degree (M.Sc. or Ph.D.) in Electrical Engineering, Physics, Applied Mathematics, Computer Science, or a related quantitative discipline.
5+ years of hands-on experience in developing and deploying machine learning, signal processing, or algorithmic solutions, with emphasis on raw or low-level data (e.g., sensor data, audio, video streams, or medical imaging).
Proven expertise in time-series analysis and handling large-scale, complex datasets from acquisition to production deployment.
Strong Python programming skills, with the ability to write clean, modular, and testable production-grade code.
Demonstrated experience deploying ML/DSP pipelines into production environments, ideally in high-availability systems.
Familiarity with ML/DL frameworks such as PyTorch, TensorFlow, scikit-learn, and gradient-boosting libraries (e.g., XGBoost, LightGBM).
Strong collaboration and communication skills, with the ability to work effectively across interdisciplinary teams including software engineers, physicists, and external stakeholders.

Requirements:
Qualifications:
B.Sc. or M.Sc. in Computer Science, Software and Computer Engineering, or equivalent.
You have working experience in Java (or equivalent).
Excellent teammate skills, effectiveness both in independent and collaborative work.
Ability to learn and use new technologies.
Ability to understand complex distributed systems and to know your way around them.

Preffered Qualifications:
Background in data security and cloud-based applications. 
Experience with databases (MongoDB, Cosmos DB, Redis, Azure Data Explorer preferred).
Experience with distributed computing platforms for high-scale systems and massive amounts of data (Kubernetes preferred).
Experience with continuous integration and deployment tools (ADO preferred).

Requirements:
Advanced degree (M.Sc. or higher) in a relevant field (Computer Science, EE, Physics, etc.).
5+ years of experience in the industry.
Experience with DL, ML, and numerical libraries like: PyTorch, Tensorflow, NumPy, Pandas.
Solid Python programming skills.
Proven track record in solving novel DL challenges.
Algorithmic and Deep learning design skills.
Ability to learn and adapt quickly.
Strong Data analysis and presentation skills.
Excellent communication and teamwork skills.

Requirements:
Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
8+ years of professional software engineering experience, with a strong track record of delivering production-grade distributed systems.
Deep expertise in Kubernetes, including cluster architecture, workload orchestration, and security hardening e.g. RBAC, Workload Identity, Container Runtime Security.
Hands-on experience with containers (Docker) and container orchestration platforms (AKS, EKS, GKE).

Preferred:
Proficiency in one or more programming languages such as Go, C++, C, Python, or Java.
Experience building and operating cloud-native services on Azure or other public cloud platforms.
Strong understanding of site reliability engineering (SRE) principles, including observability, incident response, and automation.
Ability to work effectively with cross-functional teams and manage multiple priorities.

Requirements:
Qualifications:
You have 6+ years of experience in object-oriented software development using C++.
Hands-On experience in Windows kernel development, OS internals, and networking.
Experience with debugging skills and experience with multi-threading and asynchronous programming.
A collaborative mindset with the ability to work effectively both independently and as part of a team.
A self-driven and adaptable approach, with enthusiasm for learning and mastering new technologies.

Preferred Qualifications:
B.Sc./M.Sc. in Computer Science, Computer Engineering, or equivalent training.
Proven strong coding skills in any object-oriented programming language, domain-specific languages, and/or functional languages.
Familiarity with additional programming languages and frameworks is a plus.