דרושים » הנדסה » GNC Team Leader

The GNC team lead will oversee a small, highimpact group responsible for developing and validating advanced Guidance, Navigation, and Control (GNC) algorithms within our companys defensetechnology product line. This role combines handson technical expertise with early-stage leadership responsibilities, managing simulation specialists while driving innovation, system performance, and reliability. The ideal candidate brings strong domain knowledge in GNC, autonomy, or aerospace systems, alongside proven ability, formal or informal, to guide and mentor technical staff in a fastpaced startup environment.
Why Join our company?:
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
Responsibilities:

* Leading simulation engineers and providing technical direction, mentoring, and daytoday guidance.
* Developing and validating GNC algorithms, including guidance laws, navigation filters, and control loops.
* Maintaining and improving highfidelity simulation environments that support robust modeling and system analysis.
* Collaborating with software, hardware, and system engineering teams to integrate algorithms into the full system architecture.
* Reviewing technical outputs, refining methodologies, and ensuring high-quality documentation and analysis.
* Supporting field tests, analyzing performance data, and iterating on algorithms based on real-world results.
* Identifying technical risks, opportunities, and long-term development needs within the GNC domain.

We are looking for an experienced Senior Missile Control Engineer to join our advanced defense-tech R&D team. The role involves leading the development, integration, and testing of missile control systems throughout the full system lifecycle, from algorithm design through simulation, hardware-in-the-loop testing, and flight trials.
Why Join us?
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
Responsibilities
Lead the design, development, and analysis of missile control algorithms.
Perform simulations, performance analysis, and robustness assessments.
Identify technical risks and propose practical engineering solutions.
Collaborate closely with systems engineering, software development, aerodynamics, mechanical design, and testing teams.
Participate in and analyse field experiments.
Ensure compliance with relevant engineering standards and safety requirements.

We are looking for a senior systems engineer with proven experience leading the design and development of an interceptor missile. The systems engineer will take full responsibility for the interceptor missile from initial stages through deployment. A hands-on role in a young, growing company where deep engineering meets initiative, creativity, and a drive for performance.
Why Join us?
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
Responsibilities
Definition and design of the system architecture for an interceptor missile: sub-systems including the seeker, rocket engine, navigation and control systems, interface design, performance envelope definition, trials, and reliability tests.
Setting system requirements, writing engineering specifications (ICD, SRR, etc.), and working with the various development teams.
Leading system integration, conducting lab and field trials, and writing performance reports.
System-level risk management and supporting integration and production processes.
Interfacing with internal and external customers, suppliers, and quality and safety stakeholders.
Tracking and supporting the system throughout its lifecycle, including maintenance, updates, and support during operational deployment.

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, implementing and testing hands on control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems.
please note that this position requires 2 days a week at our HQ in Jerusalem
What will your job look like?
Work on developing and optimizing control algorithms for the vehicle
Run and analyze simulations to test autonomous vehicle in virtual environments
Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers
Working with communication protocols and interfaces for both internal and external communications with different components of the system
Customer facing workshops to discuss and test your algorithms.
Testing your algorithms in an Autonomous vehicle.

We are looking for a highly skilled Senior Thermal-Mechanical Engineer to join our mechanical engineering team as a key player in the development of next-generation high-performance compute platforms for autonomous driving systems.
This key position includes leading the thermal-mechanical design and cooling architecture of advanced electronic systems throughout all lifecycle stages-from concept to mass production-while working closely with hardware, PCB layout, mechanical, validation, manufacturing, suppliers, and customers.
What will your job look like?
Lead the thermal-mechanical design process from concept through validation, NPI, and production.
Define cooling architectures and optimize air- and liquid-cooling solutions for high-power electronic systems.
Perform thermal simulations and analyses using tools such as Icepak, FloTHERM, Fluent, or equivalent.
Perform mechanical simulations and analyses using tools such as ANSYS Mechanical, Abaqus, Nastran, or equivalent.
Correlate simulation results with lab measurements and drive solutions that meet system requirements.
Lead thermal validation, prototyping, environmental testing, and reliability activities.
Collaborate closely with cross-functional teams, suppliers, subcontractors, and customers.
Support mechanical design and serve as a technical focal point for complex thermal-mechanical challenges.

Required AI Algorithm Engineer - Vision Localization Group
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

Who Are We Looking For?
Not for one specific role - but for great people.
People who bring sharp thinking, initiative, ownership, and the ability to turn ideas into reality.
People who thrive in a collaborative environment, who are driven by curiosity, and who want to make a real impact.
In the coming months, well be opening roles across areas, so even if you dont see a role that matches your background right now, we still want to hear from you.
Why Join us?
Be part of a fast‑growing company with big ambitions
Work with talented, kind, and highly capable teammates
Influence the direction of our product and company
Enjoy a culture that values creativity, independence, and forward thinking
Responsibilities
Drive meaningful impact by contributing your expertise to the development, integration, and advancement of next‑generation missile and defense technologies within a fast‑growing, mission‑driven environment.

We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

Required Experienced Deep Learning Algorithm Developer - Perception Solutions
Join our Perception Solutions team, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions.
In this role, you will join at the beginning of an end-to-end development cycle, leveraging advanced approaches to enable direct vision modeling beyond traditional image-processing pipelines and help advance the next generation of autonomous driving technology.
What will your job look like:
Contribute to building a new deep learning project from scratch, with real impact on production systems.
Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.
Develop and train state-of-the-art deep learning models for computer vision tasks.
Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.
Tackle real-world challenges where model performance is critical and directly impacts product capabilities.