דרושים » תוכנה » בוגרי /ות תארים טכנולוגיים לתחום ה-RPA

Requirements:
B.Sc. in Computer Science or Software Engineering.
7+ years of experience in software engineering, including 2+ years in a leadership role.
Proven track record in designing robust systems and scalable, complex architectures.
Proven experience driving excellence across the projects youve led.
Proficiency with NodeJS.
Experience in React, Express, NextJS, Typescript.
Experience in relational & non-relational databases.
Deep knowledge of Web application fundamentals such as SSR, CSR, and bundle size optimizations - a plus.

Requirements:
What we need to see:

B.Sc. degree or equivalent experience in Engineering/Computer Science/related field.

4+ years of experience as a Software Engineer.

Strong programming skills in Python.

Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP).

Knowledge of how to tune environment for the best performance and deploy infrastructure based on innovate technologies and high-end hardware.

Strong technical abilities, problem-solving skills, coding, and design skills.

Ability to lead feature development, take full ownership and deliver independently.

Linux knowledge: have a general understanding of Linux operation system concepts.

Ways to stand out from the crowd:

Knowledge in performance testing scenarios and creation of performance reports.

Proven experience in a leadership role, with a track record of successfully leading scrums and projects.

Strong communication and interpersonal skills, with the ability to motivate and inspire others.

Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols.

Prior software testing experience, with an understanding of Software Testing Tools and Methodologies and Python expertise.

Requirements:
What we need to see:

Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.Ds is preferred. Intellectual curiosity and passion for innovation.

Experience in several verticals/industries with good knowledge and trends in the industry.

Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.

You will show a deep understanding of who and how to engage the developers product and engineering organizations with at least 8 years related experience.

5+ years experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years experience in business development activities.

Able to work independently and possess excellent communication skills to drive customer and internal engagements.

Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.

Execute and accelerate strategic decisions.

Ability to effectively deliver value propositions for specific and targeted industries.

Ensure a positive experience for external customers and partners while working cross functionally within our organization.

Ways to stand out from the crowd:

Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.

Strong technical understanding of Data Analytics, Conversational AI, Embedded System/Jetson.

Experience in network communication protocol is an added advantage.

Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions.

Excellent organizational, planning, and execution skills.

Requirements:
Requirements:
Strong Kubernetes experience.
Strong experience with Terraform or similar Infrastructure-as-Code tools in production.
Experience deploying and supporting infrastructure in customer-owned cloud environments.
Solid understanding of cloud networking, IAM, and storage concepts.
Experience improving developer experience through tooling, automation, or platform abstractions.
Experience owning CI/CD, observability, and platform infrastructure.
Ability to write production-grade code or automation (Go, Python, Bash).
Comfortable working directly with external customers and customer-facing teams.
Strong communication skills and ability to explain complex infrastructure concepts clearly.

Nice to Have:
Multi-cloud experience (AWS, Azure, GCP).
Experience building or maintaining CLIs or deployment automation.
Experience with security and compliance requirements (SOC2, ISO, etc.).

Requirements:
M.Sc. in Mathematics, Physics, or Computer Science.
4+ years of experience in algorithm development, with proven expertise in Computer Vision, multi-view geometry, or 3D perception.
Experience leading teams and collaborating in complex, cross-functional environments.
Background in SLAM, optimization, calibration, and ego-motion - an advantage.
Strong analytical and problem-solving skills with the ability to balance technical excellence and business priorities.
Proficiency in Python.

Requirements:
Job Description: We are seeking a highly motivated and experienced software engineer to architect and scale our Infrastructure & Mission Control software stack. In this role, you will be a key contributor to the "brains" of our systems, bridging the gap between high-level autonomy and low-level flight execution. You will own, develop, and optimize critical features across two main pillars: Mission Control: Building our Ground Control Station (GCS), mission computer stacks, autonomy co-pilots, and safety-critical flight control integrations. Infrastructure: Developing high-fidelity UAV simulations for deterministic testing, cloud-based telemetry analysis, and robust CI/CD pipelines for hardware-in-the-loop (HITL) validation. In this position, you will work in close collaboration with cross-functional teams such as Vision & GNC, Systems Engineering, Flight Operations, and Product, to deliver reliable, scalable, and operationally effective software. Responsibilities: Mission Logic & C2: Architect ground and airborne mission logic to support complex autonomous operations. HMI Excellence: Develop performant, low-latency, and intuitive Human-Machine Interfaces (HMI) for Real-Time UAV command and control. Flight Stack Integration: Deeply integrate with flight control software to ensure seamless telemetry and command execution. Simulation & Validation: Build and maintain SITL/HITL infrastructure (utilizing tools like Unreal Engine or Gazebo) to ensure system determinism across hardware iterations. Embedded & Real-Time : Develop the Embedded software stack, including Hardware Abstraction Layers and Real-Time application logic. Protocol Design: Design and optimize robust communication protocols (e.g., MAVLink, Protobuf) for Real-Time data exchange over serial and wireless links. Requirements: B.Sc./M.Sc. in CS, EE, or a related field with 5+ years of experience in Real-Time Embedded C / C ++ and complex distributed systems. Proficiency in ARM architecture / bare-metal and Linux environments, multi-threading, and low-level hardware protocols (SPI, I2C, CAN). Skilled in engineering for performance-critical, memory-constrained environments while ensuring strict system determinism. Strong command of OOP design patterns and scalable architecture for Mission Control, C2 systems, and Python -based backends. Advanced skills in hardware-software integration, protocol analysis (MAVLink/Protobuf), and complex log-based forensic debugging. Proven experience with UAV simulation (SITL/HITL), low-latency telemetry, or edge device development using modern frameworks ( React /Vue). Advantages: Hands-on experience with ArduPilot, PX4, or the ROS/ROS2 stack. Deep knowledge of the MAVLink protocol and serial communication (UART/UDP/TCP). Experience with RTOS, Embedded C ++17/20, or safety-critical software standards. Send your CV to: spearuav@app.civi.co.il

Requirements:
What we need to see:

B.Sc. in SW / Computer / Electrical / Communication Engineering.

15+ overall years of overall experience.

8+ years of experience in managing a team.

Knowledge in Linux.

Experience in team management.

Background with customer engagements.

Ways to stand out from the crowd:

Experience with appliance systems, both in HW/SW.

Experience with leading SW and HW integrations and development of embedded SW.

Background with Networking applications and protocols.

Experience in embedded system programming.