דרושים » חשמל ואלקטרוניקה » Senior DSP Software Engineer

Requirements:
Bachelors Degree in Electrical Engineering, Computer Science or Computer Engineering. M.Sc. - an advantage
Over 7 years of experience in embedded systems programming
Strong programming skills in C or C++ in embedded environment
Strong debug capabilities
Ability to design, implement and integrate code and algorithms into embedded controllers
Team Player
Hands on Experience in Linux
Experience in Automotive Software design - advantage
Familiarity with robotics / autonomous SW stack - advantage
Experience in Linux kernel programming - advantages
Familiarity with AUTOSAR - advantage
Familiarity with Signal Processing - advantage

Requirements:
MSc/ PhD in Electrical Engineering, Computer Science or related fields
More than 5 years experience in Algo research and development
At least 5 years experience in leading an algorithm team
Proven experience in independent research work
Proven track record in delivery on schedule
Fast and self-learning, self-directed and motivated capabilities
Readiness to work in a challenging start-up environment
A team player
Preferred Qualifications
Familiarity with radar algorithms and system, especially in the automotive field
Hands-on experience implementing, validating, and testing complex algorithms

Requirements:
At least 10 years of hands-on embedded software development on multidiscipline embedded systems that went to production (in the field).
Strong proficiency in C/C++, microcontrollers, low-level programming, and real-time design.
Experience with RTOS environments (FreeRTOS, Zephyr, ThreadX, or similar).
Strong understanding of peripherals, drivers, bootloaders, and hardware abstraction layers.
Skilled with debugging tools such as JTAG, SWD, oscilloscopes, and logic analyzers.
Familiarity with communication protocols: I²C, SPI, UART, USB, BLE, Wi-Fi.
Familiarity with embedded development environments such as IAR, Keil, ModusToolbox, and VS Code.
Experience working within modern CI/CD workflows, version control, and automated testing frameworks for embedded systems.
Strong communication skills and the ability to work effectively with multidisciplinary teams.
Comfortable working in a regulated environment with attention to documentation, traceability, and quality.
Self-driven, detail-oriented, and able to take ownership of complex technical challenges

Requirements:
At least 10 years of hands-on embedded software development on multidiscipline embedded systems that went to production (in the field).
* Strong proficiency in C/C++ , microcontrollers, low-level programming, and real-time design.
* Experience with RTOS environments (FreeRTOS, Zephyr, ThreadX, or similar).
* Strong understanding of peripherals, drivers, bootloaders, and hardware abstraction layers.
* Skilled with debugging tools such as JTAG, SWD, oscilloscopes, and logic analyzers.
* Familiarity with communication protocols: I²C, SPI, UART, USB, BLE, Wi-Fi
* Familiarity with embedded development environments such as IAR, Keil, ModusToolbox, and VS Code.
* Experience working within modern CI/CD workflows, version control, and automated testing frameworks for embedded systems.
* Strong communication skills and the ability to work effectively with multidisciplinary teams.
* Comfortable working in a regulated environment with attention to documentation, traceability, and quality.
* Self-driven, detail-oriented, and able to take ownership of complex technical challenges Nice to Have
* Experience in medical devices or other regulated, safety-critical industries.
* Knowledge of secure boot, OTA updates, or embedded cybersecurity.
* Experience with connected devices and cloud-integrated firmware.
* Python or similar scripting for automation and tooling.
Why Join Eitan Medical? Help shape innovative medical technologies that improve patient care worldwide. You’ll work in a collaborative environment that values technical excellence, curiosity, and the ability to turn complex challenges into reliable, real-world solutions.

Requirements:
5+ years as a Team Leader, with proven experience and a strong record of leading development teams
10+ years of engineering experience in software development
Experience leading and mentoring highly skilled developers toward technical and professional excellence
Deep understanding of backend development of SaaS and microservices, using cloud-native practices
Familiarity with DevOps and Kubernetes domains, with the ability to define requirements and collaborate closely with DevOps engineers
Solid understanding of frontend development and the ability to guide frontend engineers
Hands-on experience in Go, Java, C++, or C#
Knowledge of TypeScript or JavaScript is an advantage
Proven experience designing and implementing scalable, reliable, high-performance production systems
Strong architectural skills, with the ability to make sound design and implementation decisions
Ability to manage delivery, set milestones, and resolve technical and organizational challenges
A self-driven and fast-learning mindset, able to quickly adapt to new technologies and evolving product needs
Experience working in both startup and enterprise environments is an advantage
Familiarity with AI-powered development tools and agentic technologies is an advantage

Requirements:
B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical discipline
5+ years of experience building high-performance backend or ML inference systems
Deep expertise in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML)
Experience with scalable service architecture, message queues (Kafka, Pub/Sub), and async processing
Strong understanding of model deployment practices, online/offline feature parity, and real-time monitoring
Experience in cloud environments (AWS, GCP, or OCI) and container orchestration (Kubernetes)
Experience working with in-memory and NoSQL databases (e.g. Aerospike, Redis, Bigtable) to support ultra-fast data access in production-grade ML services
Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and best practices for alerting and dignostics
A strong sense of ownership and the ability to drive solutions end-to-end
Passion for performance, clean architecture, and impactful systems

Requirements:
5+ years of proven experience in software development
Strong proficiency in Python/Java
Strong background in designing, developing, and debugging complex distributed systems (e.g., microservices, event-driven architectures)
Hands-on experience with containerized environments, microservices, and Kubernetes
Proven experience with at least one major cloud provider (e.g., AWS, GCP, Azure)
Ability to lead technical discussions, mentor engineers, and drive architectural decisions

Requirements:
* Recent B.Sc. graduate with honors in Electrical Engineering or a related field
* Strong system -level understanding.
* Experience with Python - an advantage.
* Background or exposure to RF systems and/or multidisciplinary systems - an advantage.
* Familiarity with networking (Ethernet, TCP/IP) - an advantage.
* Ability to work independently, take responsibility, plan and execute tasks.
* Strong organizational, communication, and interpersonal skills.

Requirements:
5+ years of overall software development experience, with at least 3-4 years specifically in Go, including advanced concurrency, performance optimization, and systems-level programming
Strong experience with TypeScript/Node.js for building GitHub Actions, CLI tooling, and automation frameworks
Hands-on experience integrating AI/LLM capabilities into engineering workflows - including prompt engineering, AI agent orchestration, and automated code generation pipelines
Deep understanding of CI/CD platforms, with mandatory experience in GitHub Actions (workflow authoring, custom actions, runner internals)
Proficiency with OpenTelemetry or equivalent distributed tracing and observability frameworks
Experience with Docker and BuildKit internals, including multi-stage builds, layer caching strategies, and build output parsing
Solid understanding of Linux system internals, including process management, file systems, and shell scripting (bash)
Strong background in building developer tools that integrate seamlessly into existing workflows without disrupting them
Advantage Skills:
Experience with build system optimization across multiple ecosystems (Go, Gradle/Maven, npm/yarn, pip/uv, Cargo)
Familiarity with bash parsing libraries or shell interpreters (e.g., mvdan/sh)
Experience with agentic AI systems - autonomous agents that plan, execute, and iterate on code changes with minimal human intervention
Background in pattern detection, anti-pattern recognition, or static/dynamic analysis tools
Experience with Kubernetes (K8s) and cloud-native CI/CD environments
Familiarity with major cloud platforms (AWS, GCP, Azure)
Experience with platforms like Jenkins or GitLab CI
Knowledge of performance profiling techniques and build graph analysis
Experience with JFrog Artifactory or similar binary repository and artifact management platforms
Understanding of software dependency graphs and build orchestration
Familiarity with secret management and security - conscious development practices