As an Embedded Linux OS Architect, you will define OS solutions for security and connectivity in Mobileye's Safety Critical Linux OS, collaborating with architecture and development teams.
Mobileye jobs
Leading the evolution of automobility from advanced driver-assistance systems to autonomous driving through world-renowned expertise in artificial intelligence.
128 open roles at Mobileye
As an Embedded Linux OS Architect, you will define OS solutions for security and connectivity in Mobileye's Safety Critical Linux OS, collaborating with architecture and development teams.
As an Embedded Linux OS Architect, you will define OS solutions for security and connectivity in Mobileye's Safety Critical Linux OS, collaborating closely with architecture and development teams.
C++ Developer – Neural Network Integration & Production 3D Sensing Systems
Build and optimize production C++ systems that integrate neural network models into real-time 3D sensing and perception pipelines for autonomous vehicles, from model deployment through testing and vehicle integration.
C++ Developer – Neural Network Integration & Production 3D Sensing Systems
Develop production C++ systems for 3D sensing and perception, integrating deep learning models into real-time vehicle software and optimizing deployment on resource-constrained edge devices.
Senior Algorithm Engineer - Model Training & Optimization
Lead the development and optimization of machine learning models, focusing on algorithm design, training strategies, and model evaluation to solve complex real-world problems.
Lead the design, development, and scaling of the REM platform's backend systems, while mentoring a team of engineers and ensuring high-performance architecture.
Lead cross-functional technical program execution across engineering, research, and infrastructure teams, aligning priorities, timelines, validation, data, and integrations while resolving blockers and improving delivery processes.
Develop and deploy deep learning algorithms for automotive perception, owning projects from research and neural network training through scalable production integration while improving performance in complex driving scenarios.
Develop and deploy computer vision and deep learning algorithms for autonomous-driving data generation and labeling, improving automation, data quality, and algorithm performance across internal pipelines.
Build and improve ML data curation pipelines for autonomous-driving datasets, using vision-model outputs, GPU inference, and sampling strategies to create balanced, high-quality training data.
Build and improve ML-driven data curation pipelines, running GPU inference at scale and developing scoring, sampling, and validation methods to produce high-quality datasets for perception models.
Design and develop geometric algorithms for large-scale map creation systems, utilizing Python and big-data tools to enhance road safety technologies.
Lead complex autonomous-vehicle sensing product projects from requirements through implementation, coordinating R&D and internal teams while managing customer commitments, validation, and performance tuning.
Own strategic automotive OEM and Tier 1 accounts, leading complex ADAS software sales from RFQ through negotiation and execution while building senior relationships and coordinating cross-functional teams.
Build and improve computer-vision data curation pipelines, scaling GPU inference and developing scoring, sampling, and validation methods that produce diverse, high-quality datasets for training perception models.
Leads end-to-end technical project delivery across multidisciplinary engineering teams, coordinating system requirements, planning, execution, and stakeholder communication for complex autonomous driving platform software.
As an Experienced SoC Verification Engineer, you'll lead the pre-silicon verification of cutting-edge AI technologies, defining test plans and developing test environments.
As an Experienced SoC Verification Engineer, you will lead the pre-silicon verification of advanced AI technologies, ensuring the quality and performance of Mobileye's chips.
Manage autonomous vehicle sensing projects from requirements through implementation, coordinating R&D and other teams, tracking progress, and working with car manufacturers to deliver and validate product features.
Lead cross-functional technical programs from planning through delivery, aligning engineering teams and senior stakeholders, removing blockers, tracking program performance, and improving processes across the organization.
Deep Learning Algorithm Developer - M.Sc. Graduate
Develop and train deep learning models for autonomous-driving perception, owning pipelines from data through deployment and applying computer vision and 3D perception methods to improve model performance and efficiency.
Drive end-to-end execution across multiple development teams as a Program Manager, ensuring alignment with strategic goals and maintaining high development velocity in a complex environment.
Own the technical interface with automotive customers, guiding ADAS and autonomous-driving solutions from system analysis and issue resolution through software integration, validation, and delivery.
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