לוח משרות דרושים הייטק תוכנה

Requirements:
What we need to see:

B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

5+ overall years of industry experience in system programming or related fields.

Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time

Excellent programming skills.

Ability to learn complex concepts in a fast pace environment.

A teammate with a can-do attitude, high energy and excellent interpersonal skills.

Ways to stand out from a crowd:

Familiarity with networking protocols.

Hands-on experience with CUDA programming and GPU acceleration.

Hands-on experience with LLM serving frameworks.

Experience with open-source projects (coursework, personal, or contributions).

Working in a fast-paced and dynamic environment.

Requirements:
4+ years of industry experience in a production web environment, including monitoring and performance tuning.
3+ years of experience with Python/Node/Go/Ruby in a Linux environment.
Experience with complex cloud architectures with asynchronous communication.
Experience working with both relational and non‑relational databases.
Experience with monitoring and visualization tools.
Experience with Kubernetes (advantage).
Experience with prompt engineering or working with LLM-based systems (preferred).
A real passion for solving problems and delivering value.
The ability to write clean code, as well as continuously refactor and improve existing code.
The ability to work well autonomously and as part of a team.
Effective written and verbal English communication skills.

Requirements:
What We Need to See:

Bachelor's or master's degree in electrical engineering, Computer Engineering, or Software Engineering with significant hardware/electronics coursework or hands-on experience.

5+ years of hands-on experience in hardware-software integration, low-level driver development, or firmware development with proven ability to lead technical projects.

Strong proficiency in one or more programming languages such as Python, Java, C#, with additional experience in C/C++ for low-level programming.

Demonstrated ability to read and interpret electrical schematics, block diagrams, and hardware datasheets.

Experience with hardware debugging tools such as oscilloscopes, logic analyzers, JTAG debuggers, or similar instruments.

Excellent problem-solving skills in developing software solutions for sophisticated hardware-software interactions. Ability to collaborate with hardware teams, demonstrating deep technical ownership of hardware-software integration projects.


Ways To Stand Out from the Crowd:

Hands-on experience with PCIe, I2C, SPI, UART, or other hardware communication protocols. Experience developing device drivers for Windows or Linux environments.

Background in embedded systems, microcontrollers, DSPs, FPGAs, or custom ASIC integration. Experience wrapping native C/C++ libraries into managed DLLs for .NET/C# applications.

Knowledge of hardware validation methodologies and experience with automated hardware test equipment. Previous work in networking hardware, high-speed interconnects, or semiconductor validation environments.

Strong ability to bridge communication between hardware and software teams, translating hardware requirements into software solutions.

Requirements:
What We Need to See:

M.Sc. or equivalent experience in Electrical Engineering or Computer Science from a leading university.

7+ years of experience in the industry, specifically in HW/SW architecture groups.

Familiarity with networking concepts, terms, and Software stack.

Consistent record to quickly adapt to new technologies and investigate emerging areas.

Hand-on programming capabilities in Python, C/C++.

Passion for problem-solving and algorithms research and development.

Strong capability to work independently, collaborate with multi-functional teams, and guide R&D efforts.

Excellent communication and presentation skills.

Ways To Stand Out From The Crowd:

Experience with IEEE 1588 PTP, Synchronous Ethernet, GPS/GNSS, oscillators and clock control algorithms.

Experience in networking hardware and software architecture, ideally with relation to telecom and RAN networks.

Knowledgeable about O-RAN architecture.

An understanding of clocks and signal processing.

Requirements:
What we're looking for:

6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin).
Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines.
Proven experience in building and scaling backend APIs, microservices, and background jobs.
Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema design, data modeling, and query optimization.
Experience with message brokers and distributed systems (e.g., Pub/Sub, Redis Streams, RabbitMQ).
Highly adaptable, a strong team player, with the ability to quickly learn and apply new technologies.

Advantages:

Strong proficiency in Python and/or Node.js/NestJS.
Experience with clinical systems and healthcare data standards (FHIR, EMR/EHR).
Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or LiteLLM.
Experience orchestrating hybrid model stacks combining commercial APIs (OpenAI, Google Gemini) with self-hosted or fine-tuned LLMs.
Familiarity with observability tools for AI systems (Langfuse, OpenTelemetry).

Requirements:
3+ years of experience in web development.
Strong proficiency in JavaScript, React, and modern frontend frameworks.
Experience with Node.js, Golang, or comparable programming language.
Passion for online publishing and content-driven platforms.
Comfort using AI-powered coding tools as part of your daily development workflow.
Self-motivated, collaborative, and excited about working as part of a global, hybrid team.

Requirements:
M.Sc. (or higher) in Electrical Engineering, Computer Science, Autonomous Systems and Robotics Interdisciplinary Program
At least 3 years of experience in 3D perception using cameras, e.g. visual servoing, 3D reconstruction and stereo vision.
Strong proficiency in classical computer vision techniques (e.g., feature detection & matching, geometric transformations)
Advantages:
Experience with designing and implementing control loops
Experience with simulation tools (Issac sim / Gazebo)
Experience applying deep learning models to vision or perception data.

Requirements:
5+ years of professional experience developing embedded firmware for production systems (C/C++)
3+ years hands-on experience with ARM Cortex-M microcontrollers (STM32 highly preferred)
2+ years experience developing on Linux OS (toolchains, scripting, build systems)
2+ years experience with electrical schematics and hardware-software interaction
1+ year experience with motor control systems, such as stepper motors or BLDC/TMC51xx controllers
Strong knowledge of communication protocols (CAN/FDCAN, SPI, I2C, UART) and low-level driver development
Experience with bare-metal programming and resource-constrained optimization
Excellent written and verbal communication skills in Hebrew and English
Proven ability to troubleshoot, profile, and optimize for performance, memory, and timing
Personal attributes: innovative and detail-oriented mindset, strong analytical and problem-solving skills, proactive and self-motivated, collaborative team player with excellent communication and adaptability
Advantages:
Experience with Python or other high-level OOP languages for build/test automation
Familiarity with RTOS and Linux kernel development
Experience building bootloaders or in-field OTA update systems
Exposure to networking and Bash scripting for embedded toolchains
Prior experience working in startup or multidisciplinary environments
Background in environmental sensing, motion control, and robotics systems
B.Sc. in Software Engineering, Computer Science, Electrical, or Computer Engineering.

Requirements:
10+ years of backend development experience, with at least 3+ years in an architectural or senior technical leadership role
Strong hands-on experience with Python in production environments
Proven experience designing and building distributed systems and microservices architectures
Extensive experience with AWS (S3, SNS, Lambda, Batch, DynamoDB, RDS, etc.)
Experience with containerization and orchestration technologies (Docker, Kubernetes, Helm, Terraform, ArgoCD)
Deep understanding of scalability, high availability, resilience, and system design principles
Experience with monitoring and observability tools such as Datadog
Proven track record of delivering large-scale, high-quality SaaS products
Strong understanding of LLM application architecture: prompt/version management, tool/function calling, structured outputs, retrieval-augmented generation (RAG), and agent/workflow patterns.
Proven ability to design for AI reliability and safety: guardrails, policy enforcement, content filtering, hallucination mitigation, and failure-mode design (fallbacks, safe defaults).
Experience with data governance and privacy for AI: PII handling, retention policies, redaction, tenant isolation, and secure logging/tracing in SaaS environments.
Ability to control cost/performance tradeoffs: model selection strategies, caching, batching, streaming, rate limits/quotas, and capacity planning for AI workloads.
Experience integrating AI services into distributed systems on AWS (e.g., scalable inference/RAG pipelines, async jobs, event-driven orchestration).
Advantage

Deep understanding of networking concepts
Experience with event-driven architectures
Experience working with enterprise customers and complex technical environments
Experience with vector databases / embedding pipelines and retrieval systems (indexing, chunking, relevance tuning).
Experience with model gateways / multi-provider routing, prompt registries, and feature flagging for model & prompt rollouts.
Familiarity with security & compliance considerations for AI (SOC2-ready controls, audit trails for AI actions, customer data boundaries).
Experience enabling AI-assisted SDLC / SDD practices (AI in design docs, code review, incident analysis) with governance and standards.

Requirements:
Strong understanding of Frontend architecture and scalable software design
4+ years of hands-on experience in web development using TypeScript and FE Frameworks (preferably React).
Strong experience with both Class Components and Functional Components
Proven experience with state management libraries, including Redux and Zustand
Solid knowledge of CSS, SASS, and styled-components
Experience applying Functional Programming principles, alongside a good understanding of OOP
Hands-on experience working with bundlers, transpilers, and build tools such as Webpack and Vite
Ability to support the following:
Familiarity with or hands-on experience in microfrontend architecture - not mandatory but big advantage
BE experience (Fullstack development)
Experience with NPM modules.
Experience with CI/CD pipelines, test runners, and automated testing workflows Familiarity with storybook.
Working in Agile development methodologie.

Requirements:
3+ years of experience as a solution architect or presale. Previous experience as a consultant in the data protection field is an advantage
Previous experience in design, implementation, and support of leading data protection systems - Advantage
Previous experience with backups systems Dell, Veeam, Commvault, Rubrik, or similar - Advantage
Previous experience with customer-facing roles, Webinars - Advantage
Ability to write high-level solution documents and scope of work documents
Excellent interpersonal and presentation skills, positive attitude, and the ability to establish and maintain effective working relationships with various stakeholders