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We are seeking a dynamic Field Service Engineer to join our team , playing a critical role in advancing our renewable energy solutions. As a Field Service Engineer, you will contribute significantly to the future of various renewable energy products and solutions, serving as an interface between our customers.



Ideal Candidate:

The ideal candidate will have a background as a practical Electrical Engineer or Electrical Engineer with a valid electrical license and comprehensive understanding of AC/DC, Low/Medium Voltage systems, networking and system controls. Proficiency in both Hebrew and English languages at a minimum of C1 level is required. The role will require on-call duty and the ability to oversee critical customer situations. Experience with Battery Storage solutions is highly beneficial, and a valid driving license is essential due to frequent travel requirements.





Responsibilities:

Serve as the primary interface between customers taking ownership of dispatched customer issues across various renewable energy solutions.
Provide comprehensive service and customer support during field visits or dispatches, running diagnosis on errors or technical problems.
Deliver on-site installation, repair, maintenance, testing tasks, upgrades, or rework activities for diverse renewable energy products.
Provide remote support to clients as needed.
Leading projects during commissioning and site acceptance services for various renewable energy solutions.
Adhere to operational procedures, processes, and practices consistently, ensuring compliance.
Follow applicable health and safety instructions and regulations for various renewable energy installations and services.
Maintain updated documentation, work instructions, and processes for existing and upcoming service contracts and agreements, including reports creation.

We are looking for a Senior Algorithm Engineer to join a high-velocity R&D team developing advanced real-time algorithms for mission-critical defense systems. The role focuses on designing, implementing, and evolving estimation, inference, and decision algorithms that operate under real-world constraints such as uncertainty, latency, partial observability, and adversarial conditions. You will take ownership of core algorithmic components from theoretical formulation through deployment in operational systems.

Responsibilities:
• Design, implement, and maintain real-time estimation and inference algorithms operating on heterogeneous sensor inputs. • Develop and tune probabilistic state-estimation models, including non-linear filters, adaptive models, and prediction mechanisms. • Implement uncertainty management, gating, clustering, hypothesis handling, and state lifecycle logic. • Integrate AI/ML components where they provide measurable value (classification, anomaly detection, decision support). • Own algorithm performance across stability, convergence, latency, and numerical robustness metrics. • Translate operational and system-level needs into mathematical formulations and deployable algorithms. • Collaborate closely with system engineers and software teams to integrate algorithms into real-time command-and-control environments. • Analyze operational data, simulations, and edge cases; iteratively refine models based on empirical performance. • Participate in algorithm design reviews, trade-off analyses, and performance assessments.