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Required Deep Learning Algorithm Engineer - REM Semantics
About the team:
You will be part of our REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems.
You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges.
What will your job look like:
Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks.
Own projects end-to-end - from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment.
Analyze challenging edge cases and continuously improve model performance in complex driving scenarios.
Collaborate with algorithm developers, software engineers, product managers and system teams across the organization.
Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency.
Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide.

The Platform Product Management team is looking for a highly driven, experienced, and dynamic Cybersecurity Product Manager, to join our team and help shape the future of ADAS and Autonomous Driving systems.
The team is leading Platform Products and Features Requirements and Execution, E2E, across all teams and across projects.
In this role, you will be involved in defining the product roadmap, and the product release planning, tracking the execution and helping in removing blockers, work with customers outside and inside, to ensure the TTM and quality are met.
What will your job look like?
Serve as a Technical solution architect/product manager for ADAS and Autonomous Vehicle SW features and platforms.
Work closely with the Autonomous vehicle Cybersecurity architects and ensure Cybersecurity is addressed through implementation, Validation to production.
Be a key person in planning and execution of Cybersecurity activities.
Work directly with our customers' Cybersecurity teams on their Cybersecurity requirements and deliverables.
Generate and maintain accurate and up-to-date requirement documentation for both internal and external stakeholders..
Lead and facilitate product and platforms cybersecurity related discussions with clients and technology managers.
Actively help improving processes across different teams.

Required Camera System Engineer
About the team:
We build camera-based ADAS and autonomous-driving systems with leading OEMs. This role is part of the Optical Path System Architecture and Integration team: the group that takes a new sensor integration from early requirements to a fully validated optical path.
As Camera System Engineer you will drive the full integration lifecycle of complex real-time embedded systems - bridging hardware platforms and software stacks from early requirements definition and platform bring-up through system-level validation and verification.
You will support pre-nomination and help close optical-path requirement gaps. Working closely with the Camera SW team and providing the pre-requisite they need for development and productization.
What will your job look like?
Define bring-up prerequisites and phases with architecture and program managers.
Support Bring up of optical path devices (Sensor, Serializer, Deserializer).
Review and contribute to Hardware-Software Interface specifications (register maps, memory maps, interrupts, boot sequences)
Support pre-nomination requirement definition, including customer-facing meetings when needed.
Support architecture with optical path feature requirements and sensors bring up requirements.
Support SW/HW integration test strategy including HIL setups and CI automated regression.
Deep co-debugging using Saleae, logic analyzers, and oscilloscopes; root cause analysis across hardware errata, timing, and firmware issues.

We are looking for an adaptable, proactive C++ Software Engineer to join our Algorithm & Software team.
In this role, youll be a vital link between algorithm development, software architecture, and cross-functional engineering teams.
Your primary mission will be to turn core algorithmic logic into robust software, integrate components across diverse platforms, and coordinate directly with adjacent teams to advance our software goals.
What will your job look like:
You will implement, maintain, and refactor operational codebases in C++
You will coordinate interfaces, align API specifications, and integrate algorithmic modules with platform and vehicle systems
You will reproduce bugs, resolve integration issues, and address system-level bottlenecks
You will maintain technical documentation, API specifications, and workflow guidelines
You will maintain and troubleshoot CI/CD pipelines and automated AI development tools.

Required Backend Team Lead - REM Engineering
About the team:
As the Backend Team Lead for REM Ingestion, you will spearhead the design, development, and scaling of the critical entry point for our Road Experience Management (REM) platform. Your team is responsible for capturing, processing, and validating massive streams of crowdsourced data from millions of vehicles worldwide in real time.This is a hybrid leadership and technical role. You will lead a squad of engineers while remaining hands-on in architecting resilient, ultra-high-throughput distributed systems that power the future of autonomous driving and advanced mapping.
What will your job look like:
Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery.
Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency.
Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning.
Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs).

We are looking for an Applied AI Engineer to join the MECI Interfaces team within the Software Engineering organization. The MECI Group enables our algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being.
As an Applied AI Engineer, you will be at the forefront of integrating Large Language Models (LLMs) and agentic workflows into our internal platforms. Your primary goal will be to solve complex problems across the Software Development Life Cycle (SDLC) by building intuitive, AI-powered tools that directly support our developers and internal users. This role offers the unique opportunity to both expand the intelligence of our existing developer tools and architect entirely new workflows from the ground up in a highly technical, fast-paced environment.
What will your job look like?
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for our developers.
Expand the capabilities of existing platforms by embedding smart, context-aware LLM features.
Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them.
Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG).
Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
About the team:
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

Required Algorithm Performance & Data Analyst (Full-Time)
About the team:
Join our Autonomous Vehicle (AV) validation division, where algorithmic theory meets real-world performance.
You will analyze and stress-test core algorithms powering autonomous driving, evaluating cutting-edge computer vision, machine learning, and multi-sensor systems to ensure safety and system reliability.
What will your job be like?
Lead the end-to-end performance analysis of complex algorithmic versions and production release candidates.
Design and execute statistical analysis workflows on high-volume sensor and drive data to spot regressions, edge cases, and systemic biases.
Leverage modern AI tooling (Cursor, Claude Code, LLM-assisted workflows) to accelerate analytical pipelines, automate reporting, and write validation scripts.
Work cross-functionally with Algorithm Engineers, System Architects, and Product Leads to make critical go/no-go production deployment decisions.
Synthesize multi-dimensional data findings into clear, actionable executive and technical reports.

We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and python.
You will need to both maintain the product and develop new features.
You will need to learn and develop new algorithms which can address new problems as they arise.

We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and python.
You will need to both maintain the product and develop new features.
Learn and develop new algorithms which can address new problems as they arise.

Required Algorithm Developer for Geometric Team
About the team:
You will be part of our REM (Road Experience Management) department, responsible for the automatic 3D High Definition map making process, a key technology powering our autonomous driving and advanced driver assistance systems.
This process runs large‑scale algorithmic pipelines on big‑data infrastructure and requires a deep understanding of the team level code, a good understanding of the data flow integration with the group level, along with strong technical and algorithmic capabilities.
We are seeking a geometrically‑inclined algorithm developer to solve real‑world geometric problems using signal processing, contributing directly to technologies that improve road safety.
What will your job look like:
Design, develop, and optimize geometric and signal‑processing algorithms for large‑scale map creation systems.
Implement and maintain production‑level Python code within a complex, large codebase.
Analyze large datasets and build scalable solutions using scientific and big‑data tools.
Take algorithms from research and prototyping through production deployment.
Continuously research and develop new algorithmic approaches to address emerging challenges.
May explore Graph Neural Network (GNN) based approaches to complement geometric algorithms.