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HW Engineering Platform Group is seeking a highly motivated experience Hardware Development Project Manager to drive and monitor the execution of hardware development projects, specifically focusing on SoC/HW Platform, through all development phases. The successful candidate will ensure projects are delivered on time and meet product-defined milestones and KPIs. This role requires strong communication, leadership, and project management skills, as well as the ability to collaborate effectively with cross-functional technical teams.
What will your job look like:
Manage various projects within the teams, ensuring alignment with strategic objectives and priorities.
Develop and maintain project plans, schedules, and budgets, tracking progress and ensuring adherence to timelines and milestones.
Identify and mitigate project risks and obstacles, proactively addressing issues to minimize impact on project timelines and deliverables.
Coordinate with cross-functional teams to define project scope, objectives, and deliverables.
Communicate project status, updates, and risks to stakeholders, providing regular reports and presentations as needed.
Foster collaboration and communication among team members, promoting a culture of transparency, accountability, and continuous improvement.
Drive and monitor the execution of hardware development projects (SoC/HW Platform) through all development phases.

we are looking for a Machine Learning Software Engineer, who will be challenged by bridging the gap between cutting-edge machine learning research and robust production deployment.
In this position, you will combine software engineering expertise with machine learning deployment knowledge, responsible for taking our algorithms and developing robust production solutions that serve them at scale.
The work at algorithms department is fast-paced and requires staying ahead of the curve with the latest engineering solutions and best practices adopted across the ML community, while staying informed about emerging solutions in both computer vision and NLP domains and understanding the specific problems they address.
What will your job look like:
Your role will include developing production deployment systems for classical and machine learning algorithms from research and building robust, scalable inference pipelines.
You will develop primarily in Python and infrastructure tools (Kubernetes, Docker, etc.), taking part in both maintaining existing deployment systems and developing new production capabilities.
Finally, you will need to learn and implement new deployment technologies and best practices that can address emerging production challenges as they arise, while staying current with the latest MLOps and inference optimization techniques.

Are you passionate about designing cutting-edge solutions for complex, high-impact challenges? Do you have an eye for detail and a knack for seeing the bigger picture?
our Platform Architecture team plays a pivotal role in seamlessly shaping system architecture into high-performance systems that drive the future of autonomous driving. In this role, you will specialize in optical path architecture - ensuring the smooth and reliable flow of data from cameras to the system, and the optimal functioning of entire optical array.
By joining us, youll collaborate with top engineers to develop innovative systems that not only shape the evolution of our industry-leading products, but also contribute to advancing the future of mobility. As part of our mission, youll play a key role in making the world a safer place through autonomous driving technology.
What will your job look like?
Define Optical Path System Architecture: Develop system and software requirements that ensure correct data flow from cameras into the system, enabling optimal performance of optical array
Define Optical path SW requirements: Understand ME SW architecture and flows and define SW requirements addressing new customer / Tier 1 requirements
Design and define: architectures and flows for critical optical functions, including image acquisition, synchronization, data integrity checks, and diagnostics, ensuring robust and reliable optical system performance
Engage with customers: analyze and understand customer requirements related to optical systems and maximize alignment with existing solutions
Collaborate with Product Managers: Ensure optical path requirements are in sync with system architecture and that both software and hardware developments meet system-level objectives
Work closely with Project Managers: Define, map dependencies, and prioritize the scope of customer releases involving optical components
Innovate with Sensing, Driving, and Fusion teams: Optimize overall system performance by integrating optical path considerations with other sensing modalities

we are looking for a Outstanding Graduate Algorithm Developer.
Algorithm developers at Mobiley 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

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 algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow 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 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.
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

ourSoftware Group is looking for an experienced Python Infrastructure Tech Lead to join our Software Infrastructure Team.
Our group is responsible for the full software stack running in the vehicle, as well as the development tools and infrastructure that support it. We build and maintain a large-scale automation and infrastructure platform that serves multiple engineering teams across .
In this role, you will lead the architecture, design, development, and maintenance of high-quality Python-based infrastructure and applications. You will collaborate closely with software engineers, system architects, and project stakeholders to deliver robust, scalable, and innovative solutions that directly impact core automotive technologies.
What Will your Job Look Like?
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Take ownership of system architecture and technical design, from high-level design to implementation.
Collaborate with cross-functional teams to define, design, and ship new features.
Develop and maintain Python applications for various projects.
Optimize applications for maximum speed.
Write clean, efficient, and well-documented code.
Troubleshoot and debug issues as they arise.
Stay up-to-date with the latest industry trends and best practices.
Help shape a structured, collaborative, and improvement-driven engineering culture.

Join our advanced packaging team to define and develop cutting-edge semiconductor package solutions for automotive-grade digital and RF System-on-Chip (SoC) products.
Youll collaborate with internal teams and external OSATs to deliver high-performance, manufacturable, and reliable packages that meet stringent automotive standards.
What will your job look like:
Define and specify advanced package architectures for digital SoCs and RF ICs in automotive applications.
Perform substrate design for flip-chip BGA (FC-BGA) packages, including stack-up, routing, and ball-out optimizations.
Evaluate and select substrate technologies, materials, and package solutions based on performance, cost, and reliability.
Collaborate with OSATs to define and validate assembly materials and process flows.
Work closely with internal teams such as Backend, SIPI, Product Engineering, and Quality & Reliability to ensure seamless integration.
Monitor yield, quality, and manufacturability across package development and production stages.
Support DFM reviews and ensure compliance with automotive standards and customer requirements

As a Quality and Reliability (Q&R) Engineer, you will lead the qualification and long-term reliability of advanced System-on-Chip (SoC) and RF semiconductor products for automotive applications. Youll work across digital and RF domains to ensure robust performance and compliance with industry standards.
What will your job look like:
Define and manage Quality and Reliability specifications, simulations, and qualification plans for SoC and RF die and package.
Plan and execute automotive-grade qualifications per standards such as AEC-Q100, JEDEC JESD22, and IATF 16949.
Design and implement die-level and package-level stress tests.
Select and prepare electrical, environmental, and mechanical test platforms for reliability testing.
Define requirements for Pre-Si Q&R (e.g. ESD, LU, EM, IR drop), Design-for-Test (DFT), electrical characterization, and Post-Si Q&R testing of digital, mixed-signal and RF SoCs.
Collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (OSATs).
Lead failure analysis, reliability modeling, and corrective action processes (e.g., 8D, FMEA, FMEDA).
Document and certify automotive standards compliance, including PPAP/APQP deliverables.

we are looking for a Senior Algorithm Developer.
Algorithm developers 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.