דרושים » תוכנה » Senior AI-Driven Integration & Validation Engineer

Requirements:
B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, or a related field, or equivalent practical experience.
5+ years of hands-on experience in RAN system verification, system integration, performance engineering, lab engineering, field support, or a similar technical role.
Strong knowledge of at least one RAN technology or domain, such as LTE, 5G NR, PHY, MAC, RLC, PDCP, protocol stack, RAN performance, or end-to-end feature validation.
Proven experience investigating complex technical issues using logs, traces, configurations, software versions, and test results.
Practical scripting experience using Python, Shell, or similar tools.
Strong analytical skills, technical ownership, attention to detail, and the ability to collaborate effectively across cross-functional engineering teams.
Excellent written and verbal communication skills.

Requirements:
8+ years of experience in systems engineering, technical leadership, project management, or similar multidisciplinary roles.
Strong understanding of complex electro-optical systems involving software, algorithms, sensors, hardware, and platform integration.
Experience in system architecture, requirement definition, interface management, and technical leadership.
Background in drones, UAVs, navigation systems, electro-optics, computer vision, or GNSS-denied environments.
Experience writing system requirements and technical specifications.
Strong analytical and problem-solving capabilities with a hands-on approach.
Excellent written and verbal communication skills in English.
Bachelors degree in engineering, Physics, Computer Science, or a related field.
Preferred Qualifications
Experience in defense, aerospace, robotics, homeland security, or autonomous systems.
Experience working with military or operational customers.
Familiarity with multidisciplinary hardware-software development and validation processes.
Experience supporting proposals, demonstrations, and customer-facing technical activities.

Requirements:
Bachelors degree in computer science, Engineering, or a related field
5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role
Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
Proficiency with Infrastructure as Code tools (Terraform, CloudFormation)
Experience with configuration management tools
Deep knowledge of CI/CD tools
Strong scripting skills (Bash, Python, or Go)
Proficiency with containers and orchestration (Docker, Kubernetes, Helm)
Solid understanding of networking, security best practices, and Linux system administration
Excellent problem-solving, communication, and collaboration skills
Experience with monitoring and observability tools (Prometheus, Grafana, ELK,)
Exposure to zero-downtime deployments, blue-green deployments, and canary releases
Proficiency with Atlassian tools ( Bitbucket, Jira, Confluence )
Familiarity with code quality analysis tools ( linters, static analysis, etc )
Strong Git skills
Familiarity with AI-assisted development tools ( Github Copilot, Curser, Claude, etc )
Team player, fast self-learning individual, and service-oriented attitude
Education:
Bachelors degree in Computer science, Engineering, or a related field.

Requirements:
BSc or MSc in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field, or equivalent practical experience.
Typically 7+ years of hands-on experience in production software, ML platform, search, data, or infrastructure engineering, including meaningful recent experience shipping LLM-powered systems; exceptional candidates with equivalent depth are welcome.
Strong Python engineering skills and experience designing maintainable APIs, services, libraries, and data pipelines. Experience with Go, Java, or C/C++ is an advantage.
Strong understanding of transformer-based language models and production inference, including tokenization, context management, batching, KV caching, parallelism, quantization, structured output, tool calling, and common model failure modes.
Demonstrated experience building production RAG or enterprise-search systems using embeddings, vector and/or lexical search, metadata filtering, reranking, source attribution, and systematic retrieval evaluation.
Experience defining task-specific LLM evaluations using representtive datasets, strong baselines, domain-expert review, automated metrics, human feedback, error analysis, and regression thresholds.
Experience deploying and operating containerized services on Linux using Docker and Kubernetes or an equivalent orchestration environment.
Practical experience with GPU-backed model serving, performance profiling, capacity planning, monitoring, and reliability engineering.
Strong knowledge of distributed-system fundamentals, authentication and authorization, API security, secrets handling, encryption, auditability, and data lifecycle controls.
Experience with Git, automated testing, CI/CD, infrastructure as code, observability, and production incident response.
Sound technical judgment about quality, security, maintainability, hardware efficiency, and total cost-not just model benchmark scores.
Ability to lead an ambiguous, cross-functional initiative, explain complex AI behavior in plain language, and help other teams ship safely on a shared platform.

Requirements:
BSc or MSc in Computer Science, Data Science, Machine Learning, Statistics, Electrical Engineering, or a related field, or equivalent practical experience.
5+ years of hands-on experience in applied machine learning, data science, search, natural-language processing, analytics engineering, or AI-enabled software systems.
Recent experience evaluating LLM, RAG, search, or agent systems using representative datasets, task-specific metrics, human review, failure analysis, and regression testing.
Strong Python and SQL skills, with experience building maintainable data pipelines, experiment workflows, services, or analytical tools.
Practical experience with several areas such as information retrieval, embeddings, hybrid search, reranking, classification, structured outputs, tool calling, or common LLM failure modes.
Strong statistical judgment, including sampling, leakage prevention, uncertainty, calibration, precision and recall, temporal drift, and controlled comparison of competing approaches.
Ability to work with semi-structured engineering data from issue-tracking systems, source control, code reviews, continuous integration, logs, dashboards, and test systems.
Clear communication skills and the ability to explain results, limitations, and tradeoffs to technical and business stakeholders.

Requirements:
Recently completed a bachelors degree in Computer Science, Information Systems Engineering, Software Engineering, or a related field from a leading university, with an average grade of 90 or higher.
Knowledge of or experience with Node.js and TypeScript.
Knowledge of web development technologies (e.g., HTML, CSS, React).
Familiarity with databases, including SQL and NoSQL.
Familiarity with version control systems (e.g., Git).
Understanding of software testing and quality assurance practices.
Prior experience with software development projects or internships.
Skills
Ability to perform in a global company, in a multi-cultural environment
Strong organizational and time management skills
Ability to prioritize tasks effectively
Strong work ethic, proactive, self-motivated, and results-driven
Excellent communication and collaboration skills
Proficient in spoken and written English

Requirements:
Recently completed a bachelors degree in Computer Science, Information Systems Engineering, Software Engineering, or a related field from a leading university, with an average grade of 90 or higher.
Knowledge of or experience with Node.js and TypeScript.
Knowledge of web development technologies (e.g., HTML, CSS, React).
Familiarity with databases, including SQL and NoSQL.
Familiarity with version control systems (e.g., Git).
Understanding of software testing and quality assurance practices.
Prior experience with software development projects or internships.
Skills
Ability to perform in a global company, in a multi-cultural environment
Strong organizational and time management skills
Ability to prioritize tasks effectively
Strong work ethic, proactive, self-motivated, and results-driven
Excellent communication and collaboration skills
Proficient in spoken and written English

Requirements:
What We Are Looking For:
Your Background-
Degree in Mechanical Engineering, Mechatronics, or Electro-Mechanical Engineering.
2 to 5 years of experience. We also highly welcome fresh graduates who have strong hands-on project portfolios or practical internship experience.
Decent familiarity with 3D CAD modeling tools (like SolidWorks or Autodesk Inventor).
Graphic design skills/orientation - an advantage
Your Mindset-
High curiosity to learn things outside traditional mechanical engineering, such as electronics, fiber optics, and software workflows.
A hands-on, practical problem-solver who enjoys building prototypes, testing physical parts, and troubleshooting.
Strong team player with good communication skills to collaborate with our diverse engineering teams.