CARIAD, Inc. · 18 hours ago
Sr Software Engineer, Embedded Machine Learning
Mountain View, CA
Full-time
Onsite
Senior Level
$149K/yr - $216K/yr
6+ years expCARIAD is an automotive software development team within the Volkswagen Group, focused on enhancing the automotive experience. They are seeking a Senior Software Engineer, Embedded Machine Learning to design, optimize, and deploy machine learning models on embedded hardware platforms, ensuring real-time performance in production systems.
AutomotiveInformation TechnologySoftware
No H1B
U.S. Citizen Only
Responsibilities
Design, train, and optimize machine learning models for execution on embedded ML accelerators
Quantize and convert machine learning models from training frameworks to embedded runtime environments
Analyze and optimize runtime performance to meet real-time and hardware constraints
Develop and maintain production-quality code and artifacts supporting machine learning deployment on embedded systems
Verify functional correctness and performance of deployed models on target hardware
Debug and resolve performance and accuracy issues across the machine learning deployment pipeline
Collaborate with cross-functional teams to integrate machine learning models into embedded systems
Support deployed machine learning models in production, including performance monitoring, issue triage, and iterative improvement
Contribute to continuous improvement of machine learning workflows, tools, and best practices
Share technical knowledge and lessons learned with peers
Document model behavior, performance characteristics, and deployment considerations to support collaboration and long-term maintainability
Qualification
Required
6+ years of experience in machine learning, embedded systems, or performance-critical software development
Production experience deploying and optimizing ML models on embedded or constrained hardware platforms
Bachelor's degree in Computer Science or Computer Engineering
Strong analytical and problem-solving skills applied to complex, real-time systems
Ability to work independently on complex technical problems with limited supervision
Clear written and verbal communication skills for collaborating with cross-functional partners
Strong attention to detail and commitment to production-quality outcomes
Demonstrated ability to learn new technologies and share knowledge with peers
Training modern machine learning networks, including transformer-based architectures, for high-performance embedded hardware accelerators
Quantization, deployment, and optimization of machine learning models for production embedded systems
Profiling, debugging, and optimizing runtime performance of machine learning workloads on embedded ML accelerators
Supporting machine learning models through deployment, validation, and iterative improvement on target hardware
Preferred
Master's degree in Computer Science or Computer Engineering
Experience with Qualcomm Hexagon NPUs
Experience working in ADAS or automotive embedded systems environments
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
Unique 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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