Senior Staff Engineer, System Architect (R5843)

What you'll do

• Define and maintain the ecosystem’s architecture, interfaces, APIs, SDK concepts, and technical standards.
• Architect data, AI/ML, GenAI-enabled workflows, and scalable deployments across cloud, HPC, on-premises, and constrained environments.
• Review designs and guide engineering teams to maintain architectural integrity, traceability, security, and reproducibility.

What they ask for

• 10+ years of experience in software or software-intensive systems development, design, and/or architecture.
• Experience architecting complex software platforms, developer ecosystems, SDKs, APIs, AI/ML platforms, or distributed systems.
• Experience developing AI/ML solutions using synthetic and real-world data, and applying Generative AI, AI assistants, or agents to development workflows.
• Experience in data modeling and architecture, including metadata, lineage, provenance, versioning, and lifecycle management; practical understanding of Kubernetes, workload schedulers, containerization, infrastructure as code, and object/data storage platforms.

Nice to have

• Experience with AI-native or agentic workflows, MLOps, distributed training, simulation, synthetic data, experiment tracking, or model registries.
• Experience with modern AI models, constrained or hybrid deployment environments, autonomy or aerospace, MBSE, or high-assurance systems.

Pay

USD 170,000–310,000 (per-year-salary) base salary

Tools

Kubernetes, Slurm, S3-compatible systems, SysML, Cameo/MagicDraw

AI focus

Architects an AI development ecosystem and GenAI-enabled and agentic workflows for data curation, autonomy development, model training and evaluation, and deployment, with human oversight, security, verification, traceability, and reproducibility.