Datacenter AI Systems and Solutions Engineer, Sr Staff

What you'll do

• Develop and optimize end-to-end AI/ML solutions for inference performance, power efficiency, and scalability.
• Lead model benchmarking, workload analysis, system architecture, debugging, and hardware/software co-design.
• Serve as a technical lead for customer deployments, including model onboarding, inference optimization, and performance tuning.

What they ask for

• Bachelor’s degree in a related field and 6+ years of Systems Engineering or related work experience; OR master’s degree and 5+ years; OR PhD and 4+ years.
• Strong proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture.
• Hands-on experience designing, deploying, and operating AI/ML systems in production.
• Experience with AI inference serving, performance optimization, and scalability across heterogeneous hardware.

Nice to have

• Experience with cluster schedulers and resource managers such as Slurm or PBS.
• Experience with GenAI model fine-tuning and optimization, reinforcement learning, or rack-level orchestration.

Pay

$169,800.00 - $254,600.00 (USD, base salary)

Tools

Python, ML frameworks, REST services, Docker, Kubernetes, Slurm, PBS, GitOps

AI focus

Develops and optimizes generative AI and LLM applications, inference systems, and model fine-tuning, distillation, and optimization for deployment on target hardware.