CARIAD, Inc. · 4 hours ago
Staff Engineer, Machine Learning
Mountain View, CA
Full-time
Onsite
Senior Level, Lead/Staff
$162K/yr - $234K/yr
6+ years expCARIAD is an automotive software development team within the Volkswagen Group, focused on enhancing the automotive experience through innovative technology. They are seeking a Staff Engineer in Machine Learning to lead the development of advanced driving models for the ADAS system, ensuring safety and performance across various driving scenarios.
AutomotiveInformation TechnologySoftware
No H1B
U.S. Citizen Only
Responsibilities
Research, evaluate, and select promising single-stage, end-to-end ADAS model approaches and architectures
Design and train state-of-the-art end-to-end machine learning models for the ADAS stack
Define and evolve single-stage training strategies for end-to-end models in collaboration with data engineering and MLOps teams
Train models using reinforcement learning approaches within simulation or world-model environments and reinforcement learning frameworks
Work with real and synthetic multi-modal sensor data (camera, radar, lidar) to design models that effectively leverage all available data modalities
Ensure models generalize across diverse driving scenarios and operational conditions
Evaluate and benchmark models against real-world driving use cases using scalable evaluation pipelines
Collaborate with embedded engineering teams to support model optimization, deployment on embedded hardware, and system integration
Support model integration, performance tuning, and issue resolution during deployment and validation phases
Partner with embedded, data, and platform teams to align model development with system constraints and deployment requirements
Share technical insights and lessons learned to improve overall ADAS machine learning development practices
Qualification
Required
Strong software engineering skills, including the ability to write clean, maintainable, and testable production-quality code
Strong analytical and debugging skills, with the ability to evaluate tradeoffs and select appropriate technical solutions
Ability to independently work on moderately complex technical problems, exercising sound judgment in ambiguous problem spaces
Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts to diverse audiences
Ability to collaborate effectively with multiple teams, including working across geographies and time zones
Deep Learning expertise with a strong command of CNNs, transformers, spatio-temporal models, and advanced topics such as foundation models and LLMs
Hands on experience with machine learning frameworks such as PyTorch (or equivalent)
Reinforcement learning experience, including training agents in simulation environments
Computer vision experience applying modern deep learning techniques such as CNNs, DETR, and vision transformers to real-world problems
Experience or strong familiarity with state-of-the-art AD/ADAS systems, including end2end driving models, VLAMs, and world models
Strong applied foundation in core machine learning principles, with the ability to translate theory into practical model development and evaluation
6+ years of experience in Applied machine learning or deep learning
3+ years of experience reinforcement learning, computer vision, or AD/ADAS systems
Master's in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field
Preferred
Familiarity with deep learning model optimization techniques, such as quantization, pruning, and hardware-aware optimization
Familiarity with inference frameworks such as TensorRT and ONNX Runtime
Experience working with simulation frameworks for ADAS development
Experience with multi-modal machine learning models, including camera and radar fusion and other multi-modal architectures such as VLAMs
Understanding of automotive safety considerations relevant to machine learning–based ADAS systems
PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field
Benefits
Medical
Dental
Vision
401k with employer match and defined contribution plan
Short and long term disability
Basic life and AD&D insurance
Employee assistance program
Tuition reimbursement
Student loan repayment plans
Maternity and non-primary caregiver leave
Adoption assistance
Employee referral program
Vacation and paid holidays
Vehicle lease program that covers registration and insurance fees
Company
CARIAD, Inc.
For generations, Volkswagen AG has included a collection of legendary brands.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Scott Runner
Chief Executive Officer
Julian Christopher Zeug
Director IT Security, Chief Information Security Officer
Recent News
2026-01-07
2026-01-05
2025-11-28
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