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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.

The company's Software group is looking for an excellent experienced DevOps engineer to join the Software infrastructure team.
our company's software infrastructure CI Team is responsible for maintaining various CI flows and maintaining the high quality of the software and system products.
Your expertise will contribute to our ongoing intensive development process while maintaining live production.
Join us to make a difference in how the world drives!
What will your job look like?
Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
Help shape a structured, collaborative, and improvement-driven engineering culture.

we are looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.
Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.
This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the companys daily workflows and directly influence core algorithmic and product decisions.
If youre passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.
What will your job look like:
Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

We are looking for a Software Engineer to join our Object Detection group and play a key role in managing and enabling data workflows that power our computer vision algorithms.
Our team generates and processes large volumes of diverse data from multiple sources, and we need someone who can bridge the gap between raw data and algorithmic innovation. Working alongside algorithm developers and researchers, you'll be responsible for building robust data pipelines, ensuring data quality, and making complex datasets accessible and actionable for our detection models.
This role requires both strong coding abilities and a deep understanding of data - you'll need to think like an engineer while understanding the unique needs of a research and development-focused algorithmic group. A significant portion of the work is highly independent, meaning you will be expected to drive projects end-to-end, taking full ownership from understanding the initial problem and modeling the solution to executing and delivering it yourself.
What will your job look like:
Design, build, and write the underlying code for large-scale systems handling diverse data from multiple sources
Build and maintain robust data pipelines that enable algorithmic development
Evaluate various optional technologies and take part in decision-making
Own key features and services within the data infrastructure
Ensure data quality and accessibility for detection models and research needs.

We are seeking a highly motivated and skilled Radar System Architect to join our team, focusing on automotive imaging radar systems. This role is pivotal in bridging the gap between our cutting-edge radar technology and our automotive customers' evolving needs. As the key technical focal point, you will lead customer engagements, manage system-level requirements, define system architecture in multiple domains and ensure successful integration and performance of our radar solutions in real-world automotive applications.
What will your job look like?
Define high level requirements for cutting-edge, automotive imaging radar
Design System architectures and flows for critical functions, such as power management, safety monitoring and security
Research and architecture for improving Radar KPI's and capabilities
Engage with customers, analyze and understand customer requirements
Work closely with SW, Algo, HW, VLSI and validation teams.

We are looking for a software engineer to build AI infrastructure that enables agentic workflows for DSP software development and legacy code maintenance.
The role focuses on developing code-aware AI systems that can reason about large embedded C/C++ codebases, particularly in DSP environments with custom instruction sets. You will design the infrastructure that allows AI agents to understand code structure, retrieve relevant context, analyze DSP kernels, and generate validated patches integrated into real development pipelines.
This is a unique opportunity to work at the intersection of agentic AI systems and real-world physical products, enabling AI-assisted development for complex embedded DSP software powering production hardware.
What will your job look like?
Build AI-driven developer infrastructure to support DSP software development workflows
Design code-aware retrieval systems combining structural program analysis with semantic search
Implement DSP-aware indexing pipelines that detect vector operations, loop kernels, accumulator flows, memory access patterns, and custom instruction usage
Design agent orchestration workflows for planning, code analysis, patch generation, and build/test validation loops
Integrate the AI system with build systems, compilers, and simulators to validate generated changes
Enable AI-assisted workflows for legacy code comprehension, dependency tracing, debugging, refactoring, and DSP kernel optimization.