דרושים » הנדסה » Electrical Engineer Team Leader

We are seeking a passionate Electronic Engineer to join the R&D team, in our TLV Site.

Responsibilities - what you will be doing:

Designing our next leap in autonomous systems
R&D and prototype build
Define system capabilities, diagnostic and maintenance
Take part in developing test equipment for our autonomous systems

We are seeking a passionate Junior Electrical Engineer to join the Hardware team, in our TLV Site.

Responsibilities - what you will be doing:

Integration and Support of current and next leaps in autonomous systems
R&D and prototype build
Define system capabilities, diagnostic and maintenance
Take part in developing test equipment for our autonomous systems
Deep technical engineering knowledge with good analytical and problem-solving skills

We are seeking for a Senior Endpoint Engineer Tech Lead to join our team and lead the effort in Endpoint Sensor development.
As Technical Leader you will be heading the activity of designing, implementing, and maintaining our endpoint sensor (Agent) software offering across all supported operating systems, as well as their accompanying APIs, supporting ever growing scale and collecting data in highly challenging deployments.
You will work closely with other sensor and analysis teams to ensure efficient and reliable data flow, overcoming complexity and implementing highly requested customer features.
Responsibilities:
Lead other senior developers developing endpoint sensors, ensuring high coding standards (testing, maintainability), process adherence (sprint planning, documentation) and overall low footprint and high performance.
Design, implement, and maintain endpoint sensors on Windows, MacOS and several Linux distros, as well as their corresponding installation process and shared APIs.
Identify and implement improvements to our systems and processes, from business logic, through the addition of data sources to monitoring.
Troubleshoot and resolve issues related to sensor-endpoint deployment in various operating systems.
Work closely with other development teams to define APIs and Schema to ensure data reliability, availability, and correctness across the system.

We seek a passionate, software-oriented, Senior Software Engineer to join the R&D team, in our TLV Site.

You will be joining the team responsible for our autonomous systems development. You will take part in all aspects of the process - from customer needs mapping and definition, through algorithms design, prototyping and implementation, to production, continuous deployment and support.

Responsibilities - what youll be doing:

Design and develop our robot infrastructures
Be a source of knowledge for architecture, standards & development strategies
Own code lifecycle & standards
Collaborate closely with cross-functional teams, including product, roboticists, hardware engineers, and software developers, to understand system requirements and translate them into software infrastructure solutions

We are looking for a Senior RT Software Engineer.
As a Senior Real-Time Software Engineer specializing in drones, you will play a key role in the design, development, and implementation of advanced software solutions for our autonomous drone systems .
You will collaborate closely with cross-functional teams including hardware engineers, computer vision specialists, and control systems engineers to deliver cutting-edge software solutions that enable our drone platforms to operate seamlessly in real-world environments.
Responsibilities :
1. Design, develop, and maintain real-time software systems for drone applications.
2. Implement algorithms and control strategies to optimize the performance and autonomy of drone systems.
3. Collaborate with hardware engineers to integrate software with onboard sensors, actuators, and other peripherals.
4. Conduct performance analysis and optimization of software components to ensure efficient real-time operation.
5. Lead code reviews, provide technical guidance, and mentor junior members of the software engineering team.
6. Work closely with cross-functional teams to define software requirements and specifications for new product features.
7. Stay updated on the latest advancements in drones and real-time software technologies to drive innovation within SpearUAV.
8. Participate in the development of software architecture and contribute to the overall system design.

A dynamic fast-paced start-up company, transforming the way reliability of electronics is achieved. In a world where machines are gaining immense responsibility over our lives, sudden failure is not an option.

We have developed a cloud-based platform, which combines data created in chip-embedded Agents (IPs), with machine learning, to predict faults before they become failures. Our solutions provide unprecedented insights throughout the value chain, from Chip Vendors to System Vendors and Digital Service Providers.

The company was founded by seasoned industry veterans, including three former founders of Mellanox Technologies, with deep knowledge and experience in the electronics industry and is backed by worldwide leading investors.

we combine different disciplines to create a revolutionary solution. Our team is highly interdisciplinary, ranging from SaaS and Machine Learning experts, to top designers in Chips and Circuits, as well as masters of EDA. We work together and learn from each other.

We are looking for the best Firmware Engineer to join the ride as we spearhead the next revolution in electronics!

We are seeking a Senior DevOps Engineer to join our team.
As a DevOps Engineer and lead the effort in designing, building, deploying and maintaining our companys infrastructure, deployment pipelines, and continuous integration/delivery workflows.
You will work closely with development teams to ensure efficient and reliable software delivery, as well as identify and implement improvements to our systems and processes.
Responsibilities:
Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
Build and maintain deployment pipelines
Design and implement data pipelines to support various data processing needs across the organization.
Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
Troubleshoot and resolve issues related to infrastructure and deployments.
Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.

A dynamic fast-paced start-up company, transforming the way reliability of electronics is achieved. In a world where machines are gaining immense responsibility over our lives, sudden failure is not an option.
We have developed a cloud-based platform, which combines data created in chip-embedded Agents (IPs), with machine learning, to predict faults before they become failures. Our solutions provide unprecedented insights throughout the value chain, from Chip Vendors to System Vendors and Digital Service Providers.
The company was founded by seasoned industry veterans, including three former founders of Mellanox Technologies, with deep knowledge and experience in the electronics industry and is backed by worldwide leading investors.

we combine different disciplines to create a revolutionary solution. Our team is highly interdisciplinary, ranging from SaaS and Machine Learning experts, to top designers in Chips and Circuits, as well as masters of EDA. We work together and learn from each other.

We are looking for a Data Analytics Engineer who is results oriented, have strong analytical skills, attention to details and would like to be a part of building exciting company.
Responsibilities
Analyse pre/post-silicon data and develop algorithms for our proprietary big data analytics platform for ICs and application level. Interact with customers on integration and problem-solving
Working with customers on solution integration pre/post-silicon
Performing data analysis and providing insights on data extracted from pre/post-silicon stages
Working with the R&D teams to implement algorithms in the analytics platform
Working with IC design groups to characterize and enhance circuit performance
Supporting customers with analytics platform problems solving and new features introduction

We are seeking a passionate Robotics Simulation Engineer to join the R&D team, in our TLV Site.

You will be joining the team responsible for our autonomous systems development. You will take part in all aspects of the process - from customer needs mapping and definition, through algorithms design, prototyping and implementation, to production, continuous deployment and support.

Responsibilities - what youll be doing:

Define requirements and lead the development of a photorealistic physical robotic 3D simulation
Collaborate with the Software Developers and Hardware Engineers to develop a digital twin of a robotic vehicle
Incorporate Software-in-the-Loop and Hardware-in-the-Loop methods
Setup and manage infrastructure for continuous testing of the robotic algorithms
Examine the models and algorithms, and be part of the efforts for their constant improvement

We are seeking a talented and experienced Data and ML Engineer, youll be leading the ML infrastructure and data processing R&D effort, taking a pivotal part in developing our proprietary machine learning-based perception and navigation algorithms.

In this position, you will report to the AI Team Lead and play a key role in a fast-growing team with significant impact and potential for professional and personal growth.

Responsibilities - what you will be doing

Design, build, and manage the data processing pipelines and solutions used for training and testing of AI algorithms
Collaborate closely with perception and navigation R&D team members to implement machine learning algorithms and models tailored for high-accuracy offline execution, later to be used for automatic labeling and semi-supervised training
Profiling, analyzing, and benchmarking of models to identify areas for improvement in terms of efficiency, and accuracy emphasizing aspects of real-time performance on embedded platforms
Stay up to date with the latest advancements in deep learning foundation models and ML algorithms, data management solutions, and cloud computing advancements
Collaborate with the data management and cloud teams to guide and build a unified data management solution based on multi-sensors and our various data sources