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Requirements:
5+ years of data Engineering experience (preferably in a startup), with a focus on designing and implementing scalable, analytics-ready data models and cloud data warehouses (e.g., BigQuery, Snowflake). Minimum 3 years in a leadership role, with a proven history of guiding teams to success.
* Expertise in modern data orchestration and transformation frameworks (e.g., Airflow, DBT).
* Deep knowledge of databases (schema design, query optimization) and familiarity with NoSQL use cases.
* Solid understanding of cloud data services (e.g., AWS, GCP) and streaming platforms (e.g., Kafka, Pub/Sub). Fluent in Python and SQL, with a backend development focus (services, APIs, CI/CD).
* Excellent communication skills, capable of simplifying complex technical concepts.
* Experience with, or strong interest in, leveraging AI and automation for efficiency gains.
* Passionate about technology, proactively identifying and implementing tools to enhance development velocity and maintain high standards.
* Adaptable and resilient in dynamic, fast-paced environments, consistently delivering results with a strong can-do attitude.
* B.Sc. in Computer Science / Engineering or equivalent.

Requirements:
We are seeking a highly motivated and experienced Chief system Engineer to join our team and lead the development of sophisticated solutions that push the boundaries of flight. Responsibilities:?Lead the development of innovative and complex airborne systems.
Develop system requirements that meet customer requirements and product definitions provided by other departments.
Facilitate PMO on developing integration plans identifying timelines, resources and equipment requirements to integrate engineering designs into higher level products.
Define and lead system level TEST plans to validate that the engineering designs meet requirements.
Collaborate with the R&D and Line of Business managers to ensure timely project delivery.
Define and lead experiments, tests and studies, and/or analytical investigations and provide clear and meaningful results and analysis.
Compile and assist in the presentation of TEST data collected during design validations to a peer group of engineers.
Work in collaboration with a multi-disciplined engineering team to develop engineering designs/solutions from initial POC to onsite customer implementation.
Contribute to documentation for use in the manufacture, installation, Technical Support and training related to the final design.
Support engineering products through entire life cycle including assist in installation at customer site, assist in product upgrades and improvements, support of service escalations and product EOL.
Provide regular status of projects to leadership. Requirements:
B.S. in engineering UAV related field (Mechanical, Aerospace, Electrical Engineering, or similar).
8+ years project management of engineering/development projects.
5+ years experience in design and project management of UAVs, or systems of similar complexity.
2+ years experience designing and releasing parts for fabrication and mass production.
Experience with aircraft design, performance analysis, and/or construction.
Experience in deriving SW & HW requirements from product initiatives.
Experience creating production quality engineering documentation.
Experience creating and executing schedules in Jira, Microsoft Project, or similar.
Experience with Gated design development (PDR, CDR).
Strong people and communication skills.
Able to work cooperatively on a team.

Requirements:
We are seeking a highly autonomous and exceptionally talented AI & Robotics Research & Exploration Specialist. This role is dedicated to AI driven product exploration and rapid prototyping. Conceptualize and build functional MVPs that push the boundaries of our XOS robotics ecosystem. The ideal candidate is a prolific builder and "tinkerer" with deep expertise in software, AI, and computer vision, capable of translating novel concepts into structured, demonstrable prototypes. Key ResponsibilitiesL:
Rapid MVP Development: Design and develop functional, proof-of-concept prototypes integrating AI (Foundational models / VLA / LLMs / ML), computer vision, 3D algorithms, and robotics systems.
Structured Handoffs: Architect all prototype software with a focus on structural clarity, clean logic, and comprehensive documentation to ensure seamless transfer to the Production Engineering team for scaling.
Advanced Tool Utilization: Leverage both traditional engineering methodologies and modern AI-assisted coding tools to accelerate development cycles and system design.
Core Technical Expertise: Deep, demonstratable knowledge of Computer Vision, 3D algorithms, and overall robotics architecture.
Proof of Execution: A strong portfolio of functional projects. Candidates must provide tangible proof of their ability to build complex systems from scratch (e.g., active GitHub repositories, indie projects, hackathon builds, or functional prototypes).
Software Proficiency: Exceptional software engineering skills with the ability to build robust system architectures, prioritizing software logic over hardware assembly.
Adaptability: Highly open-minded, multi-versed, and capable of pivoting quickly across different technical domains as exploration priorities shift. 

Requirements:
At least 5 years of experience in digital design for ASIC
BSc/MSc in Electrical Engineering, Computer Engineering, or related field
Strong RTL development experience in Verilog/SystemVerilog
Solid understanding of computer architecture, logic design, and digital system fundamentals
Experience with micro-architecture specification and documentation
Strong communication skills and the ability to work cross-functionally
Self-driven, detail-oriented, capable of owning complex design challenges
Fluent in English, both verbal and written

Requirements:
BSc / MSc in Physics, Mechanical Engineering, or similar
Proven experience in thermal analysis
Proficiency in thermal simulation software (FloTherm - preferred, ANSYS Fluent/COMSOL - acceptable) and CAD tools
Knowledge of heat transfer principles, thermodynamics, and cooling techniques
Familiarity with optical systems and laser technologies is preferred
Strong analytical and problem-solving skills with attention to detail
Fluent in English, both verbal and written

Requirements:
You have at least 4 years in NPI and configuration control in optics, lasers, electronics and mechanics
Hands-on experience in production transfer and working with CMs
Strong project ownership, communication, and problem-solving skills
Technical background across mechanics, optics, and embedded systems
Bachelor's degree in engineering - advantage
Experience working in a startup environment - advantage
Fluent in English, both verbal and written

Requirements:
B.Sc. in Computer Science or equivalent
5+ years of programming experience
Expertise in Python and strong proficiency in modern C++ (C++14/17)
Hands-On experience with Docker on Linux
Experience with NVIDIA extensions and SDKs: TensorRT-LLM, Dynamo, CUDA, NIM
Experience with VLM/LLM integration - strong advantage
Experience with CMake/Conan - advantage
Strong problem-solving skills and ability to work in a collaborative environment.

Requirements:
At least 3 years of experience in system engineering for complex systems - חובה (mandatory)
Practical engineer or B.Sc. in Electronics Engineering - חובה (mandatory)
Over 5 years of experience in designing and editing electronic boards - significant advantage
Experience working with multidisciplinary systems including electronics, software, mechanics, and optics - significant advantage
Experience in defense projects / systems for harsh environmental conditions - significant advantage
Ability to define and write system requirements and architecture
Experience with integration processes and system testing
Ability to work in a multi-interface environment
Very high level of English proficiency.

Requirements:
Bachelors degree in Engineering or related fields.
Experience in C/C++ development
At least 2 years of hands-on experience with CUDA development for GPU acceleration
Strong understanding of signal processing concepts and algorithms
Experience in real-time and high-performance computing environments.

Requirements:
2+ years of industry experience in Deep Learning with a strong focus on Signal Processing or Computer Vision (must)
B.Sc. in Electrical Engineering, Physics, or a related field (M.Sc. or Ph.D. is a plus).
Solid foundation in signal processing
Experience with radar signal processing (advantage)
Proficiency in Python and major DL frameworks
Excellent analytical thinking and problem-solving
Independent and proactive.

Requirements:
3+ years of experience in machine learning / deep learning engineering.
Strong background in Python and major deep learning frameworks such as PyTorch or TensorFlow.
B.Sc. in Electrical Engineering, Computer Engineering, or a related field (M.Sc. or Ph.D. is a plus).
Experience with AI infrastructure tooling, including distributed training, experiment tracking, data pipelines, and deployment automation.
Experience with version control using Git, including branching strategies, collaborative workflows, and integration with CI/CD pipelines.
Proven experience designing and implementing end-to-end training pipelines, including data ingestion, preprocessing, model training, evaluation, and reproducible experimentation.
Experience with data versioning and experiment management (e.g., ClearML, MLflow, DVC).

Requirements:
Background of at least two years in Systems Engineering, Electrical Engineering, Computer Engineering, or similar
Strong hands-on experience working with Linux-based systems
Experience with Python programming
Solid basic IT skills (networking, system setup, logs, configuration, scripting basics)
Comfortable working with hardware + software systems in real-world environments
Ability to work independently in the field and collaboratively within a team
Strong documentation and technical reporting skills
Advantages
Experience with radar systems, EO/IR, RF sensors, or other sensing technologies
Familiarity with sensor fusion concepts or multi-sensor systems
Experience running and analyzing field experiments
Exposure to C++
Exposure to data analysis tools
Personal Attributes
Detail-oriented, structured, and methodical
Hands-on mindset
Strong communication skills and team player
Comfortable operating in fast-moving R&D environments.

Requirements:
Bachelors degree in Engineering or related fields.
Experience in C/C++ development
At least 2 years of hands-on experience with CUDA development for GPU acceleration
Strong understanding of signal processing concepts and algorithms
Experience in real-time and high-performance computing environments.