לוח משרות דרושים הייטק תוכנה משרה מלאה, לחיפוש זה נמצאו 2,696 משרות

Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Engineering, Electrical Engineering, or Communication Engineering.

0-4 years of proven experience in ASIC Verification.

High proficiency in English.

Demonstrated ability to work well within a team, exhibiting strong communication and interpersonal skills.

A proactive and ambitious approach, with strong attention to detail and a dedication to excellence.


Ways to stand out of the crowd:

Background in Specman.

Knowledge in HDL (Verilog/VHDL).

Knowledge in industry Standard Protocol such as I2C, GPIO and AMBA.

Requirements:
What we need to see:

BS, MS, or PhD in Electrical Engineering.

5+ years of working experience in DSP/Communications.

Understanding and working experience with DSP communication projects.

Excellent Matlab development skills.

A proven track record of system definition and algorithm development.

Outstanding communication, interpersonal, and analytical skills in a highly dynamic matrix organization.


Ways to stand out from the crowd:

Software development skills (C, C++, Python).

Background collaborating with VLSI teams.

Experience collaborating with analog/RF teams.

Requirements:
Required Qualifications
2+ years of hands-on experience in frontend development
Strong hands-on experience with modern Angular development and current best practices - Must.
Practical experience using AI-assisted development tools and workflows (such as code generation, debugging, testing, or productivity tools) as part of the daily engineering process.
Solid command of RxJS and reactive programming principles
Good understanding of component-based architecture, modular design, and maintainable scalable applications.
Experience with performance optimization and building responsive, high-quality user interfaces.
Experience with data visualization or UI animation - Advantage
Independent, proactive, and collaborative team player with strong ownership mindset.

Requirements:
Team player. Rockstar without the ego. Fast learner that work hard and get S*** done.
Excellent interpersonal skills, humanity and proven leadership skills in an agile and dynamic environment.
BSc in Computer Science or equivalent is a MUST.
7+ Years of software development experience.
At least two years of experience managing people.
Java experience.
Experience in working on large scale backend projects, and a deep understanding of microservices architecture, cloud environments, performance and more.
MySQL and cloud platforms (esp AWS) knowledge is a big advantage.

Requirements:
Your Experience
4+ years of experience QA automation developer
Experience in one of the following languages - Python (Must)
Experience with API testing
Experience with cloud-native technologies like DB, Bucket, SQL, GSUITE (SaaS products)
Experience with designing, developing, and implementing test/applicative frameworks from scratch
Deeply passionate about product quality with a mindset focused on continuous improvement
Experience with Gitlab/Jenkins (Advantage).

Requirements:
Required Qualifications
4+ years of hands-on experience in frontend development
Senior-level experience with modern Angular development - Must
Practical experience using AI-assisted development tools and workflows (such as code generation, debugging, testing, or productivity tools) as part of the daily engineering process.
Solid command of RxJS and reactive programming principles
Extensive hands-on experience with modern Angular frameworks and up-to-date best practices.
Strong understanding of performance optimization, modular design, and scalable architecture
Experience with data visualization or UI animation - Advantage
Independent, proactive, and collaborative team player with strong ownership mindset.

Requirements:
Required Qualifications
10+ years of hands-on experience delivering production-grade machine learning and deep learning projects at scale.
Proven ability to own the entire lifecycle of a project-taking ambiguous ideas from initial research through to successful production deployment.
Extensive experience designing, training, and fine-tuning complex models, including SLMs and LLMs, tailored to specific proprietary datasets.
Track record of shipping diverse models to production across both resource-constrained endpoints and high-throughput cloud environments.
Deep expertise in building and optimizing agentic AI systems, including RAG architectures and autonomous workflows.
Demonstrated ability to lead technical strategy, ensuring research code is scalable, reliable, and production-ready.
Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field.
Excellent communication skills, with the ability to articulate complex architectural decisions to both technical teams and leadership.
Preferred Qualifications
Background in the cybersecurity domain, specifically in developing AI/ML models to detect and prevent cyber attacks.
Deep cybersecurity expertise in non-AI fields, such as vulnerability research, reverse engineering, or low-level security systems development.
Experience with low-level performance engineering, including model quantization, pruning, and runtime frameworks like ONNX or TensorRT.

Requirements:
Required Qualifications
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
7+ years of professional software engineering experience.
Proven experience building and operating distributed, large-scale cloud products.
Experience in designing, building, and maintaining scalable server-side applications.
Experience with a variety of database technologies such as MySQL, Cassandra, Google BigQuery, Amazon Redshift, or Elasticsearch.
Preferred Qualifications
Experience with writing and maintaining CI/CD pipelines.
Proficiency in Go and/or Python programming languages.
Hands-on experience with Google Cloud Platform (GCP).
Experience with containerization technologies such as Kubernetes and Docker.
Knowledge of the cybersecurity domain and related challenges.

Requirements:
* The Background: Magshimim / Mamriot program trainee or graduate, or equivalent independent cybersecurity research and development experience.
* The Tech: Strong Python skills, hands-on experience building and consuming RESTful APIs, and standard cloud concepts.
* Infrastructure & Servers: Basic knowledge of working with servers and hands-on infrastructure (e.g., computer lab maintenance, hardware/software troubleshooting, or basic system administration).
* The Cyber Edge: Solid understanding of modern attack vectors, vulnerabilities, and security frameworks. You know how to simulate realistic threat vectors.
* The Communicator: You don't just sit behind a screen. You have excellent communication skills, a positive attitude, and the ability to "translate" deep technical engineering concepts into clear, logical stories for product and sales teams. You ask the right questions, collaborate naturally, and aren't afraid to speak up. Key Responsibilities
* Feature & API Integration: Own the end-to-end integration of new product features and capabilities into the company's master demo environment, leveraging and connecting various APIs to ensure smooth data flows.
* Attack Flow Validation: Design, script, and continuously validate realistic cyber attack scenarios and security flows to ensure the demo perfectly highlights our product’s value proposition.
* Environment & Server Maintenance: Maintain, troubleshoot, and optimize the demo infrastructure—including server setups, containers, cloud environments, and scripts—to guarantee 100% uptime and seamless performance during high-stakes client presentations.
* Cross-Team Collaboration: Work closely with Product, Engineering, and Sales Engineering teams to translate complex technical updates into clear, repeatable, and impactful demo scenarios.

Requirements:
This is the perfect job for someone who:
Passionate about data.
Holds a BSc degree in Computer Science\Engineering or a related technical field of study.
Has at least 4 years of software or data engineering development experience in one or more of the following programming languages: Python, Java, or Scala.
Has strong programming skills and knowledge of Data Structures, Design Patterns and Object Oriented Programming.
Has good understanding and experience of CI/CD practices and Git.
Excellent communication skills with the ability to provide constant dialog between and within data teams.
Can easily prioritize tasks and work independently and with others.
Conveys a strong sense of ownership over the products of the team.
Is comfortable working in a fast-paced dynamic environment.
Advantage:
Has experience with containerization technologies like Docker and Kubernetes.
Experience in designing and productization of complex big data pipelines.
Familiar with a cloud provider (AWS / Azure / GCP).
Experience with Big Data technologies and common frameworks such as Spark, Airflow, Kafka, Parquet, Databricks, EMR, Kubernetes.

Requirements:
SaaS Experience: At least 2 years of experience as an analyst within a SaaS environment. You understand the core levers of a subscription business (ARR, Churn, PLG etc).
Technical Versatility: High proficiency in SQL and experience with BI tools (Looker, Tableau, etc.). You are comfortable picking up new tools and datasets quickly.
Commercial Intuition: You have a natural ability to connect user behavior to business outcomes. You understand that data is only valuable if it leads to a decision.
Drive & Curiosity: You are a self-starter who takes extreme ownership. You don't wait for the "perfect" brief; you dig in and find the answers.
Strong Communicator: You can present technical findings to non-technical stakeholders in a way that is clear, persuasive, and insightful.
Degree: B.Sc. in Industrial Engineering, Economics, Statistics, or a related quantitative field.

Requirements:
Your experience:
5+ years of experience in SRE roles in production environments at scale
Strong hands-on experience with Kubernetes and Terraform
Strong hands-on experience with at least one major cloud platform (GCP or AWS required)
Experience building and configuring monitoring systems (e.g., Prometheus, Grafana)
Familiarity with CI/CD and GitOps tools (GitLab CI, GitHub Actions, Jenkins, Flux)
Proficiency in Python for scripting and automation
Strong troubleshooting and problem-solving skills with a passion for incident handling
Ability to work in fast-paced environments with high context switching
Highly responsive, proactive, and ownership-driven
Strong collaboration and communication skills
Curious mindset and eagerness to learn.

Requirements:
Required Qualifications
3+ years of experience developing Python code.
Experience building and owning software projects across the full development lifecycle.
Bachelor's degree in Computer Science or equivalent education/experience.
Positive can-do mindset, with the ability to work independently and within a team.
Preferred Qualifications
Experience with CI tools such as Gitlab, GitHub, or Jenkins.
Familiarity with cloud infrastructure.
Experience with C++ and code compilation processes.
Experience in developing endpoint applications.

Requirements:
This is the perfect job for someone who:
Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required
Has 3+ years of experience with statistical and machine learning tools - Python, R, etc.
Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
Has previous experience developing machine learning/ image processing/NLP or similar algorithms
Demonstrated experience utilizing probability theory and statistics
Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage).

Requirements:
C++ virtuoso - 8+ years of wielding endpoint development skills with mastery, tackling complex performance optimizations, multi-threaded/process challenges while maintaining up-to-speed with latest industry standards
Exceptional debugging skills, capable of unraveling complexities using a variety of tools on various platforms (Windows, MacOS, Linux)
Advantage
Chromium champion - Strong understanding of Chromium's internals and a proven track record of contributing to open-source projects
Familiarity with web browser fundamentals, including concepts like cookies, sandboxing, and profiles
Experience working with JavaScript and/or building Chrome extensions
Comprehension of security concepts such as authentication and authorization mechanisms, and experience with security protocols such as OAUTH, OIDC
Research pioneer - A passion for delving into low-level systems and OS APIs, translating your findings into groundbreaking security solutions
Leadership instinct - Proven ability to guide and inspire others, fostering a culture of shared ownership and technical excellence
Communication architect - Articulate your vision clearly and convincingly, collaborate effectively with diverse teams across functions.