Software Engineer III- AI/ML Engineering, GPU ML Serving

What you'll do

• Design, build, troubleshoot, and maintain production software and algorithms; create architecture and design artifacts for complex applications.
• Analyze data and system patterns to improve software, coding practices, and architecture.
• Use and validate enterprise-authorized AI development tools in engineering workflows, following security and data-sensitivity practices.

What they ask for

• Formal training or certification in software engineering concepts and 3+ years of applied experience; professional software development experience emphasizing ML systems.
• Hands-on experience with enterprise-authorized AI-assisted development tools and ability to evaluate and validate their outputs.
• Proficiency in Python and experience with ML frameworks; experience with scalable services, cloud-native technologies, public cloud, distributed systems, microservices, and Cassandra or equivalent NoSQL databases.
• Knowledge of system-design fundamentals, including reliability, scalability, and performance tradeoffs.

Nice to have

• Working knowledge of Java and/or C++; exposure to GPU workloads in Kubernetes.
• Exposure to ML model-serving frameworks; familiarity with distributed training and inference, model compression, edge deployment, API management, DDD, or Agile development.

Pay

USD 137,750.00-$185,000.00 base salary (Palo Alto, CA); USD 137,750.00-$185,000.00 base salary (Seattle, WA)

Tools

Python, TensorFlow, PyTorch, Docker, Kubernetes, AWS, GCP, Cassandra

AI focus

ML systems and GPU ML serving; applying AI-assisted tools to coding, testing, troubleshooting, and documentation, with attention to safe and secure use.