Sr Software Engineer, Embedded Machine Learning

Cariad, Inc. • Mountain View, CA

2d • $149,350 - $215,785

About The Position

We are CARIAD, an automotive software development team with the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. To achieve that we are building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year. We’re looking for talented, digital minds like you to help us create code that moves the world. Together with you, we’ll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it.
Role Summary
The Sr Software Engineer, Embedded Machine Learning is responsible for designing, optimizing, and deploying machine learning models on high-performance embedded hardware platforms. This role focuses on translating machine learning models from training environments into production-ready implementations on embedded ML accelerators, including selection of efficient model architectures, quantization, runtime performance analysis, and functional validation.
The Sr Software Engineer, Embedded Machine Learning works independently on complex technical problems and collaborates closely with software, hardware, and systems teams to ensure reliable, real-time performance of machine learning workloads in production embedded systems.

Requirements

• 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

Nice To Haves

• Master’s degree in Computer Science or Computer Engineering
• Experience with Qualcomm Hexagon NPUs
• Experience working in ADAS or automotive embedded systems environments
• Some on-site work with embedded hardware required, driving test car

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

Benefits

• Benefits include 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 and student loan repayment plans, maternity and non-primary caregiver leave, adoption assistance, employee referral program and vacation and paid holidays.
• We also offer a unique vehicle lease program that covers registration and insurance fees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees