Sr Software Engineer, Embedded Machine Learning

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.

Role Responsibilities

• Embedded ML Development & Optimization
  • 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
• Validation & Production Support
  • 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
• Technical Collaboration & Continuous 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

• 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

Desired Skills

• Experience with Qualcomm Hexagon NPUs
• Experience working in ADAS or automotive embedded systems environments

Compensation

• Salary range is dependent on factors such as geographical differentials, credentials or certifications, industry-based experience, qualification and training.
• In the city of Mountain View, CA, the salary range for this position is $149,350 - $215,785.
• CARIAD, Inc. provides performance based merits and annual bonus along with a competitive benefits package.
• 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.
• 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.