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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.
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 a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.
Across the company, algorithm developers work at the forefront of AV/ADAS innovation - designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C++.
At our company, algorithm developers join a variety of teams across a broad range of domains. This role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact.
Algorithm developers at our company contribute to diverse areas of innovation, including:
Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks.
Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

The EPG labs Support Team is a growing team with a family atmosphere that serves various our company departments in all of the company's development systems - both ADAS and AV.
The team is engaged to the design, assembly and maintenance of systems - from the initial development stage and throughout the life of the systems, in frontal laboratories and automation farms, while in direct contact with development, integration and testing teams.
We are looking for an independent lab technician with a quick understanding and drive to solve complexed problems.
What will you job look like?
You will work directly with integration and testing teams on construction and troubleshooting in complex systems and transfer them to other support teams if needed.
You will be required to provide a quick and professional solution to problems that arise during the product's life.
You will have the opportunity to work at the forefront of accident prevention and autonomous driving systems, in cutting-edge technology and help develop systems from their initial stages until they get into vehicles.

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).

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 an Experienced 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 from RTL to GDS with horizontal ownership.
Floorplan exploration and collaboration with front-end and architecture teams.
Synthesis exploration and final synthesis including: SDC definition, Scan insertion, Lint, LEC, UPF-LP & Spyglass verification.
Place & Route: from Synthesis to final layout and signoff verification on all tools and floors, with target to achieve best PPA.
STA: timing analysis, working with Sub System and Full Chip owners to manage block and top level constraints for synthesis, P&R and signoff.
Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification.

we are looking for a driven and technically fluent Product Manager to join the MECI Group within the Software Engineering organization. The MECI Group enables our companys algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow our company to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being. As a Product Manager in MECI, you will own and evolve core internal platforms that are foundational to how our company develops, validates, and delivers algorithms. This role sits at the intersection of engineering, infrastructure, and developer experience, with broad impact across Algo, Validation, and Platform teams.
Why this role is unique
This role offers end-to-end ownership of products that are central to our companys development ecosystem. You will lead products spanning development workflows, build and test systems, platform services, and AI-assisted tooling, operating across multiple teams and technical domains. The role combines strategic product leadership with hands-on collaboration in a highly technical environment, where scale, performance, and reliability are critical. Youll work closely with engineering leaders and cross-functional stakeholders to identify high-impact problems, define clear priorities, and drive delivery of solutions that measurably improve productivity, platform stability, and developer experience.
What your job will look like:
Own the product vision, strategy, and roadmap for key MECI platforms and capabilities
Drive cross-organizational alignment on platform priorities, architectural evolution, and adoption strategy
Translate needs from Algo developers, Validation teams, CI users, and Infrastructure stakeholders into clear product requirements, specifications, and user flows
Lead the full product lifecycle - from discovery and problem definition, through design and implementation, to rollout, monitoring, and continuous improvement
Maintain ongoing engagement with users to deeply understand workflows, pain points, operational constraints, and opportunities for improvement
Partner closely with engineering leadership on prioritization, scope, and delivery, balancing short-term needs with long-term platform health
Contribute to building a culture of collaboration, ownership, and sustainable development, with attention to developer well-being.

High-quality labeled data for REM production programs and our mapping products and tools. We run an operation that deploys labeling for production-scale projects, applies high-standard quality assurance, and then manages and consumes large volumes of data end to end - from annotation through delivery into mapping pipelines.
What will your job look like:
Support ongoing annotation work for REM production programs and mapping deliverables, keeping day-to-day labeling aligned with specs and priorities.
Analyze issues and drive fixes in labels, guidelines, tooling gaps, and vendor output so root causes are addressed
Own and improve quality and efficiency of annotation workflows (QA, rework, throughput) without trading accuracy for speed.
Collaborate across teams - product, mapping, algorithms, operations, and vendors-to align requirements, timelines, and acceptance criteria.
Understand REM technology and real-world map behavior so annotations reflect how roads, lanes, and scene context behave in actual driving.
Work with map and imagery data from many regions (countries, cities, and driving cultures) and keep labeling consistent across geographies.
Run continuous project reviews and produce clear, regular reports on status, risks, quality, and delivery.
Meet project KPIs for label quality, coverage, and schedule
Train and coach offshore annotation engineers on REM concepts, tools, edge cases, and quality expectations.
Interpret complex driving scenes via maps and related data and turn that understanding into practical guidance, specs updates, and scalable solutions for the labeling team.

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 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 a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.
Across the company, algorithm developers work at the forefront of AV/ADAS innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C++.
At our company, algorithm developers join a variety of teams across a broad range of domains. This role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact.
Algorithm developers at our company contribute to diverse areas of innovation, including:
Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks.
Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++.
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

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.

our company changes the way we drive, from preventing accident to semi and full autonomous vehicle. If you are excellent, bright, hands on person with passion to make a difference come to lead the revolution!
We are looking for an exceptional cloud backend developer to join our team. The team is building a state of the art cloud infrastructure for cutting edge automotive and mapping industry.
*This a temporary position for 8 month
What will your job look like:
Design and develop scalable backend services, APIs, and data solutions in Python with a focus on performance, reliability, and maintainability.
Work closely with frontend developers, backend developers, data analysts, and experienced architects to build high-quality end-to-end products.
Improve existing architectures and deliver solutions used daily across the organization, directly supporting autonomous driving and vehicle safety technologies.

Were looking for a passionate and talented Software Engineer to join our companys Software Engineering Group within the Algorithmic Department. Our team develops backend services and integrations that accelerate development, improve quality, and enable continuous delivery for all of our companys algorithmic developers.
As a Software Engineer at our company, youll join a group of world-class engineers developing the tools and infrastructure behind one of the most transformative technologies of our time. Your work will directly contribute to speeding up autonomous vehicle development - and youll see the results of your code in action across the company.
Why this role is unique
As a Backend Python Developer, youll tackle diverse challenges across multiple domains, combining creativity with deep technical expertise. Youll explore and implement new technologies to define the infrastructure that powers our companys algorithmic development ecosystem, while your work directly impacts developers across the company.
What your job will look like:
Lead high-scale development projects using Python in a dynamic backend environment
Design and implement microservices architectures, leveraging AWS services and multiple database technologies
Write clean, modular, and maintainable code that meets high engineering standards
Collaborate closely with algorithmic and software developers to integrate our services into their workflows
Develop and maintain backend services and integrations with internal and third-party tools, enabling smooth and efficient development processes
Work in an Agile environment as part of a scrum team
See your work directly accelerate the development of autonomous vehicles used by all our company developers.

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.