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This position is responsible for interpreting Control Philosophies, Cause & Effects, P&IDs and developing, testing, documenting, and maintaining Rockwell ControlLogix PLC & FactoryTalk HMI based systems and Archestra System Platform object-based programs, templates, processes, and tools to manage and sustain programming code for offshore and high-pressure gas production facilities. Supports project activities including facility design, construction, commissioning, troubleshooting, managing, and maintaining SCADA, DCS, SIS, HMIs, PLCs, PCN Servers & Applications and Communication systems reliability and availability. Maintains SCADA data reporting systems, support Operations production reliability and optimization efforts and support PCN Information Risk Management (IRM) compliance. Train and mentor Operations and Maintenance personnel.

We are looking for an Algorithms Engineer who will handle the design and implementation of the automotive imaging radar Algorithms stack.
What will you do?
Be part of the team that defines and scales up our radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Consistently improve our radar performance
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others.

Head of System Engineering for our Aerial Surveillance Solutions division.

we are looking for a System Engineer

An experienced aircraft electrical engineer to join our team for a challenging and interesting position.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.

In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.

Key Responsibilities
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support.
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems.
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models.
Promote best practices in development, experimentation, and code quality.

We are looking for an experienced Robotics Ops Engineer t o design and operate the data engine that fuels robotics program. You will own the pipeline that captures, curates, and serves multi-modal robotic data so the team can iterate on perception and policy models quickly and reliably.
A day in the life and how youll make an impact
* Build synchronized, multi-sensor data collection pipelines from teleoperation and autonomous robot runs.
* Design scalable Storage, indexing, versioning, and access patterns for terabyte-scale multi-modal datasets (video, point clouds, IMU, audio).
* Implement automated quality checks, dataset slicing tools, and curation flows that target the models current failure modes.
* Build labeling pipelines and integrations with annotation vendors and internal tooling.
* Stand up sim- data integration so synthetic and real data can be mixed cleanly in training.

Were on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the worlds first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning Machine Learning, GenAI, and computer vision across the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world.
We are looking for an experienced Research Scientist, Sensing to push our inspection beyond todays sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that todays systems cannot see.
A day in the life and how youll make an impact
* Survey emerging sensing technologies and identify the modalities most likely to expand our defect coverage.
* Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
* Run controlled experiments that benchmark new modalities against todays inspection stack on shared defect scenarios.
* Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
* Recommend which modalities graduate into product and partner with R&D and product on integration.

Were on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the worlds first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning Machine Learning, GenAI, and computer vision across the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world.
We are looking for an experienced Research Scientist, Foundational Models to drive our long-term foundational model effort. You will design and train a single model that unifies all of our inspection segments (cars, trucks, fleets, tires, undercarriage, and future verticals) and serves as the basis for distillation into smaller, cheaper production models.
A day in the life and how youll make an impact
* Design and run large-scale pretraining experiments over our multi-segment inspection data.
* Develop self-supervised and multi-task learning recipes that transfer cleanly across vehicle segments and use cases.
* Build distillation pipelines that hand off compact, efficient models to production teams.
* Drive fast-adaptation methods so new segments and customers can be onboarded with minimal labels.
* Set and uphold ourresearch bar through rigorous evaluation, ablations, and publication-quality work.

we are looking to hire a talented VLSI DFT Engineer to join our VLSI group in Tel Aviv. You will work alongside other talented engineers to develop our cutting edge AI chips. If you are motivated and skilled in VLSI and excited about AI, we want to meet you!
Responsibilities:
Develop and deliver production test patterns (ATPG), including stabilization, coverage analysis, and debug
Analyze silicon failures and drive debug across DFT, design, and test flows
Collaborate with design teams to implement and optimize unique DFT architecture and methodologies (scan, MBIST, etc.)
Participate in pre-silicon verification of DFT features and flows
Contribute to end-to-end DFT flow, from implementation through silicon bring-up

we are looking to hire a talented Verification Engineer to join our VLSI group in Tel Aviv.
You will work alongside other talented engineers to develop our cutting-edge AI chips. If you are motivated and skilled in VLSI and excited about AI, we want to meet you!
Responsibilities:
Collaborate with architecture and design teams to define and implement comprehensive testcases for NN processor and SoC blocks and flows.
Maintain, enhance, and scale the UVM‑based verification environment to support efficient and robust verification.
Own end‑to‑end verification of system flows to ensure the design is fully functional, correct, and meets performance expectations.
Drive root‑cause analysis and debug across RTL, testbench, and system layers to ensure high‑quality design closure.
Define, track, and close functional and performance coverage to guarantee verification completeness.
Continuously improve verification methodologies, automation, and workflows to increase productivity and coverage efficiency.