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The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed at our company.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

You will be part of our company's REM department, which is responsible for the automatic High-Definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems.
This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking.
We are seeking a Backend & Data Engineer to join our Innovation Team within our Mapping Division. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale.
What your job will look like:
Develop and maintain backend and data-processing components in large-scale systems
Design, implement, and optimize data pipelines and distributed processing flows
Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
Optimize systems and code across multiple layers - from architecture to implementation
Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
Work across teams and domains, reading, improving, and refactoring existing code
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.

You will be part of our company's REM department, which is responsible for the automatic High-Definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems.
This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking.
We are seeking a Backend & infrastructure engineer to join our Innovation Team within our Mapping Division. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale.
What your job will look like:
Develop and maintain backend and data-processing components in large-scale systems
Design, implement, and optimize data pipelines and distributed processing flows
Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
Optimize systems and code across multiple layers - from architecture to implementation
Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
Work across teams and domains, reading, improving, and refactoring existing code
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.

Join our company, a leader in autonomous driving technology, and shape the future of transportation.
As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization.
What will your job look like?
Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
Visionary Architect: Define the system architecture and derive comprehensive system and software requirements that align with our company's hardware and software capabilities.
Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success.
Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

What will your job look like:
Work closely with developers, product managers, and REM stakeholders to define analysis strategies and support data-driven decision-making.
Develop a deep understanding of REM's large-scale mapping ecosystem, including map creation, validation, and update pipelines.
Build analytical models to estimate map creation timelines, operational costs, and scalability across regions and map products.
Analyze map freshness, update latency, coverage gaps, and map quality to identify opportunities for improvement.
Analyze the impact of fleet size, geographic distribution, and driving patterns on map quality, coverage, and update velocity.
Build scripts, automate analysis workflows, and leverage AI-assisted tools to improve productivity and analytical effectiveness.

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileyes AV group is transforming mobility both by [1] bringing cutting-edge, safe-by-design premium ADAS and self-driving technology as well as a complete, modular solution with flexible business models to the market; and [2] creating an accessible, safe, environmentally-friendly, and affordable experience for passengers based on our self-driving technology.
our company field engineer is the connecting link between our company and its customers, the car manufacturer (OEM) and the integration partner (Tier 1). As such, the field engineer provides the first line of technical support, analysis, and integration in the development of next-generation semi-autonomous driving systems.
What will you do?
The field engineer will relocate abroad and work alongside the development teams of a leading international automotive company. The field engineer will be the liaison between our company and the customer and hold a key role in our company's development projects providing the customer with direct technical support. As such, the field engineer will have an influence on the design and application of advanced vision based semi-autonomous driving systems, eventually installed in millions of cars worldwide.
The position will be based in Berlin ,Germany,
What will your job look like?
Ability to understand the entire company system and solve the customer problems
Installing various company systems on evaluation and development vehicles
Performing and supervising test drives on an open road and test tracks
Testing performance and quality of the vision system and other sensor
Supporting system integration efforts with deep "bits and bytes" understanding of the entire system
Providing expert support and training for the engineering teams on site
The position includes office work, support at vehicle production lines and integration facilities
Tasks also include long test drives and travel to additional countries
Drive the AV in both automated and manual mode on open roads and test tracks
Inspecting and maintaining any malfunctions in the test vehicle
Gather information and upload it to the database
Support new systems installation in the vehicle
Testing and validating end-to-end AV functionality
Close collaboration with the AV development, validation and algorithm teams
Providing expert AV test reports
Representing the company in customer demonstrations.

we are seeking a highly technical Program Manager to join the Execution Program Management Team. In this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals. You will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment.
What will your job look like:
Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
Monitor progress and proactively drive issue resolution to maintain predictable delivery.
Define, track, and analyze execution KPIs
Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
Drive transparency, accountability, and operational rigor across stakeholders.
Help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks.

we are transforming the way the world drives - from advanced driver assistance systems (ADAS) to fully autonomous vehicles. We are looking for a Senior Customer Solutions Engineer to join us at the forefront of this revolution and work hands‑on with some of the worlds leading automotive manufacturers.
This role is ideal for a highly technical engineer who enjoys customer interaction, system‑level problem solving, and real-world impact, and who wants to own the technical interface between our companys cutting‑edge technology and our customers.
What will your job look like:
Act as a technical authority and subject‑matter expert for our company Driving Functions, ADAS, and AV solutions in front of customers.
Own the end‑to‑end technical engagement with customers, including system understanding, issue analysis, solution definition, and follow‑up.
Work closely with algorithmic engineering, product, R&D, and program teams to drive customer issue investigation and resolution.
Gather, analyze, and translate customer feedback and real‑world insights into clear technical requirements and product inputs.
Lead and support software version integration, validation, and delivery to customers, ensuring alignment between our company core capabilities and customer use cases.
Take an active role in cross‑functional collaboration with Product, Sales, Marketing, and Engineering teams.
Proactively contribute to process improvement and technical workflow optimization across teams.
Work directly with leading OEMs through technical workshops, test drives, system tuning sessions, and on‑site support.
Build and maintain long‑term, trusted technical relationships with customers.

We are looking for a Technical Project Manager (TPM) to join our Bring-Up execution team.
Youll oversee development progress, work closely with engineering, research, and infrastructure teams, and help ensure the group meets its strategic and technical goals.
As a TPM, you will play a vital role in implementing the company's vision within large-scale cross-functional projects that span the organization.
You will lead process and technology improvements that proactively address issues that help our company meet all customer needs.
Working alongside multiple internal engineering teams, you'll help set and drive priorities and address critical blockers in a fast-paced environment that directly impacts the products.
What will your job look like:
Plan and establish new processes and execute with multiple development teams .
Deliver results by orchestrating the technical planning, execution, and enablement of key processes.
Manage timelines, validation, data readiness, integrations, and infrastructure work.
Define, track, and analyze execution KPIs.
Support roadmap planning by aligning feature scope with infrastructure capacity, data availability, and validation bandwidth.
Help identify execution risks and resolve technical blockers, including failing tests, data gaps, integration conflicts, and infrastructure bottlenecks.
Anticipate and aggressively remove obstacles that slow or prevent teams from delivering objectives.
Work with management and other leaders to continually identify and implement team process improvements.