Sr Software Engineer, Embedded Machine Learning

Sr Software Engineer, Embedded Machine Learning Mountain View, CA 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. We’re building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year. Together we will build outstanding digital experiences and products for all Volkswagen Group brands that transform mobility. Role Summary The Sr Software Engineer, Embedded Machine Learning designs, optimizes, and deploys machine learning models on high‑performance embedded hardware platforms. The role focuses on translating machine learning models from training environments into production‑ready implementations on embedded ML accelerators, including selecting efficient model architectures, quantization, runtime performance analysis, and functional validation. Role 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. Years of Experience 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. Required Education Bachelor’s degree in Computer Science or Computer Engineering. Desired Education Master’s degree in Computer Science or Computer Engineering. Skills 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. Experience with Qualcomm Hexagon NPUs. Experience working in ADAS or automotive embedded systems environments. Work Flexibility Some on‑site work with embedded hardware required, driving a test car. Compensation Salary range for Mountain View, CA: $181,414 – $249,046. Benefits Competitive benefits package including medical, dental, vision, 401(k) 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. Vehicle lease program covering registration and insurance fees . Equal Employment Opportunity CARIAD is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. Export Control and Compliance Employment with CARIAD Inc. is contingent upon compliance with export control and sanctions laws. Jurisdiction and eligibility are verified through the hiring process. Applicants consent to the export control screening process as required. #J-18808-Ljbffr Cariad, Inc.