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our company's ML Platform group builds and operates the core infrastructure that powers large-scale AI workloads across on-prem bare-metal GPU clusters and multi-cloud environments. Our goal is to deliver the modern infrastructure and tooling that accelerates our company's entire algorithm development lifecycle - from a researcher's first experiment to a production deployment.
We are a small, independent group of engineers with diverse skills across software, infrastructure, and systems. We set the standards, build the cross-company products, and take end-to-end ownership of everything we ship.
What will your job look like?
Design, develop, and maintain the Python framework that enables algorithm developers across our company to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface
Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces
Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training
Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between
Contribute to open source when the right fix/feature belongs upstream.

The Road Algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. Our work leverages Deep Neural Networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
We are looking for an Expert Deep Learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment.

we are seeking a strong ML Software Engineer to join our deep learning LiDAR & Radar group and help scale the systems that bring cutting‑edge perception models into production. Youll build the software layers, data pipelines, and runtime systems that turn advanced neural networks into reliable, high-performance solutions running on edge devices.
This is a hands-on, high‑ownership role within a growing group working closely with algorithm developers. The work spans Python and C++, ML infrastructure, model integration, performance optimization, and production delivery.
** The role includes working on-site at our Jerusalem office several days per week.
What will your job look like:
Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
Build ML pipelines for data-based diverse dataset creation and efficient model inference
Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
Partner with algorithm teams to translate model weaknesses into data curation criteria
Develop validation and diagnostics to measure dataset quality-not just pipeline health but training effectiveness
Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
Bring models from research/prototype stage into robust, production‑ready deployments
Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
Contribute to deployment flows (e.g., model conversion, profiling, optimization)
Build and improve CI/CD pipelines, automated testing, and development workflows.

We are seeking a talented and motivated R&D Physicist to join our company.

In this role, you will be responsible for designing and carrying out experiments for SiPh chip performance and characterization, performing and analyzing laboratory experiments of chip level optical systems assembly, and developing and managing setups for photonics and laser devices characterization. In this roll you will be required to travel abroad for demonstrations and exhibitions as needed.

Responsibilities
Design and carry out experiments for SiPh chip performance and characterization.
Perform and analyze laboratory experiments of chip level optical systems assembly.
Develop and manage setups for photonics and laser devices characterization.
Provide technical support to the R&D team for experiments and data analysis.
Contribute to the development of new testing methodologies and techniques.
Ensure adherence to experimental protocols and safety procedures.
Maintain laboratory equipment and supplies.

Which department will you join?
Our Physical Design group operates in a dynamic, startup-like environment that values deep technical expertise and high-level execution. Each engineer holds end-to-end responsibility - from initial definition and constraints development to execution and full signoff. You will work closely with Design and Architecture teams on RTL modifications and design reviews to ensure seamless convergence.
Were looking for a Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

We are looking for a Full Time Lab Technician to join our R&D team.

This is a full-time position with two evening shifts per week are required from 17:30-23:30.

Responsibilities

Identify and work with laboratory equipment, tools, supplies, and materials.

Maintain the lab area and equipment in a safe and organized manner.

Perform basic lab equipment maintenance as scheduled and in accordance with lab/equipment manual specifications.

Perform multiple concurrent tasks at several different equipment stations to maintain acceptable job flow.

Read, comprehend, and follow technical manuals and protocols.

Fill out all assigned reporting forms in a timely manner.

Read and interpret prescription specifications.

we are looking for a Real-Time Embedded DSP Software Engineer to join the development of state-of-the-art automotive imaging radar technology.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging our companys assets and expertise in this field. Introducing best in class Radar sensor that would complement our companys end-to-end autonomous driving solution platform
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages.
What will your job look like?
Design, build and optimize software modules for production grade imaging-radar solution
Implement complex algorithms in a multi-core platform with high bandwidth with distributed memory
Work closely with algorithms teams to convert complex MATLAB code to efficient real-time environment.
Plan memory arrangement, data transfers and pipelining of computation, to maximize DSP utilization.

We are looking for Junior Physicist to be part of the laser and silicon photonics testing and characterization group.

Responsibilities:
Develop new testing methods, plan experiments and analyze test results to enable new product development.
Characterize the performance of lasers and various photonic devices over different conditions to ensure they meet target specs.
Participate and assist in Failure analysis and yield improvement investigations.

we are looking for a Safety Architect to join the Safety team. This team develops novel approaches to assess and promote autonomous vehicle (AV) safety.
Safety is a core decision driver at the highest level of our company development and business strategy, directly impacting project timelines and approval for our most advanced programs.
Demonstrating that an autonomous vehicle is safe is a cutting-edge challenge. It requires a deep understanding of the entire AV system, the development of robust methods and tools to support this goal, and active engagement with the automotive industry to build broad acceptance of our approach.
What will your job look like?
Analyze the SW architecture and identify safety-critical areas, define the safety requirements and work closely with R&D teams to reach the best solutions
Support the SW system architecture definition of the company automated driving system
Define the safety requirements for high-level components of the company autonomous vehicle products including driving applications, image processing, memory management, error handling
Act as a POC for R&D teams in terms of Safety and embed the Safety culture, train and guide safety ambassadors within the teams
Proactively support our company position with customers during business development activities and during the execution of production projects.

We are looking for Junior Device and Test Engineer.

Responsibilities:
Implement electro-optical test plans for products under development or qualification.
Support testing and characterization stations in the RND labs.
Develop and improve methods for testing and characterization of Silicon photonics devices.
Analyze Test data and DOE results to provide vital insight into the development of innovative silicon photonics products.
Support cross-functional failure investigations to identify root cause and corrective and preventative action.

We are seeking an experienced Senior Buyer to lead our procurement operations. This pivotal role combines end-to-end management of critical procurement categories, driving efficiency processes, and managing strategic relationships with global suppliers to support company growth.

The role includes supporting NPI activities as part of broader procurement responsibilities, working closely with Engineering and R&D departments.

This is a critical function with a direct impact on the company's Time-to-Market (TTM) and overall product profitability.

Responsibilities
Category Management: Develop and lead procurement strategies for components, subcontractors and additional services.
Sourcing: Identify, evaluate and select new global suppliers, with a focus on quality, lead times and cost optimization.
Cost Reduction: Initiate and lead cost-reduction projects to improve the company's gross margins.
NPI Support: Support the New Product Introduction process from the prototyping stage through to serial mass production.
Spot Buys: Manage urgent procurement of components, materials, and engineering services for R&D labs and engineering teams.
Technical Solutions: Identify alternatives for missing or high-cost components during the design phase (Design-to-Cost) in coordination with engineers.
Negotiations: Lead negotiations, including MSAs (Master Service Agreements) and SLAs (Service Level Agreements).
Risk Management: Identify supply chain risks (e.g., market shortages, geopolitical issues) and formulate contingency plans (Second Sourcing).
Cross-functional Collaboration: Work closely with R&D, Engineering and Finance from the design stage through to mass production.
Monitoring & Reporting: Analyse procurement data, track KPIs (supplier performance, inventory accuracy), and generate reports for management.
Business Acumen: Understand the "big picture" of how procurement impacts the bottom line and overall business goals.
Independent Execution: Manage end-to-end projects in a fast-paced, dynamic environment.
Communication: Exceptional interpersonal skills with the ability to drive processes across both internal and external stakeholders.

What will your job look like:
Design and optimize algorithms and pipelines for large scale model inference
Build scalable systems for high throughput data processing and streaming
Develop data transformation and preprocessing components for ML workloads
Improve performance, efficiency, and reliability across distributed inference systems
Work closely with ML researchers, infrastructure, and platform teams
Drive architectural decisions for production ML and data systems.

Join our company HIL Team
Where Real-World Driving Meets Real-Time Simulation
Be part of the engineering powerhouse driving the validation of our companys autonomous vehicle technology. Our Hardware-in-the-Loop (HIL) team, part of the Simulation Group, builds the next generation of massive scale, high-fidelity simulation platforms. We bring complex, real-world sensor data into a controlled environment, enabling faster, safer, and deterministic AV development.
The HIL platform functions as a massive, ultra-low-latency replay and simulation engine. It allows developers to stream precise driving scenarios through the full autonomous stack-from perception to control-under tight real-world constraints.
What will your job look like?
Design & Architect: Build a high-performance, real-time data replay platform, leveraging modern systems languages (C++23/Rust) to handle massive data throughput.
Engineer the Core Engine: Develop the synchronization and data-injection engine that streams multi-gigabit sensor and vehicle signals with sub-millisecond precision.
Solve Complex Systems Challenges: Tackle deep software/hardware integration problems across networking, latency, determinism, and data serialization.
Deep Performance Optimization: Profile and debug Linux systems from user space to kernel space, identifying and eliminating bottlenecks in memory subsystems, I/O, and schedulers.
Collaborate Across Domains: Work closely with algorithm teams, systems engineers, and infrastructure architects to deliver scalable, reliable production solutions.

we are looking for an experienced Software and Integration Engineer to join the CTO group and take a key role in delivering robust, large-scale autonomous driving software.
The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
In this role you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
What will your job look like:
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
Manage the groups software delivery, ensuring timely, high‑quality releases.
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
Working closely with external algo teams and various departments in our company for requirement gathering and the correct integration of new features.

What Youll Do?
Take significant role in our core backend team.
Design & develop new micro services.
Solve complex architecture problems.
Develop infrastructure components to be used across multiple micro services.
Build isomorphic JavaScript packages to be shared across a client & server mono repo.
Use Google Cloud Platform to bundle, build and deploy our products.