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We are seeking a hands-on Program Manager (PMO) to lead complex customer programs in a fast-growing, multidisciplinary deep-tech environment.

This role drives execution across customers, R&D and operations teams, owning programs from early design engagement through data centres qualification and production ramp - directly enabling customer adoption, predictable delivery, and revenue growth.

Responsibilities
Own end-to-end execution of customer programs - from design-in through DC qualification and production ramp.
Drive on-time delivery of milestones and customer commitments in complex technical environments.
Act as the execution focal point between customers, R&D and operations teams.
Build and scale multi-customer execution frameworks that support company growth.
Proactively identify risks, remove blockers, and minimize escalations across programs.
Ensure high-quality delivery while protecting engineering focus.

The SW validation team plays a key role in enabling the next generation of autonomous driving technologies. In their primarily Python-based development environment, they are responsible for developing and maintaining test content for the autonomous vehicle brain, supporting complex end-to-end validation flows across the system.
As part of the full autonomous driving pipeline, they work closely with cutting-edge technologies and gain direct exposure to the real-world impact of their work - helping bring some of our companys most advanced autonomous driving capabilities from development into reality.
What will your job look like:
Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows
Review and approve system architecture requirements
Design and implement complex test solutions
Enforce compliance with autonomous vehicle industry standards.

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 at the forefront of revolutionizing the automotive industry with its cutting-edge autonomous vehicle (AV) technology. If you're a highly skilled and driven individual who thrives on innovation and wants to shape the future of transportation, come join us! We are seeking a dynamic and experienced Integration Engineer to be part of our Optimization team.
This role uniquely combines the responsibilities of a Software Integrator and a CI Engineer. As a key player in our growing software group, you will design, support, and build automated code testing environments, ensuring a smooth integration process for our software components. Your expertise will directly contribute to our intensive development process while maintaining robust, live production environments. Join us to make a difference in how the world drives!
What will your job look like:
Manage version releases and ensure timely delivery of AV products to stakeholders.
Collaborate with developers to integrate complex software components into a cohesive whole.
Partner with downstream integrators in the deployment pipeline to ensure seamless delivery.
Leverage and utilize GenAI tools and LLM-driven automation to improve and accelerate the software integration and debugging process.
Analyze source code, resource constraints, and test scenarios to identify, prioritize, and resolve integration and performance issues.
Debug complex, multi-domain issues in production and hardware-validation platforms.
Develop, enhance, and maintain automated scripts and CI pipelines for diverse development and validation teams.
Contribute to the continuous optimization of our AV infrastructure and core software codebase.
Build robust, scalable CI solutions utilizing Python, Shell scripting, Jenkins, and Docker.

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.

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.

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.

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.

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 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 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.

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.