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Data & ML Infrastructure Architect

Data & ML Infrastructure Architect

ProtingentTukwila, WA, US
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Description :

Protingent Staffing has an exciting Remote Direct Hire opportunity.

Job Responsibilities :

  • Own the architecture of ML data infrastructure, enabling scalable ingestion, storage, curation, and access for 100+ engineers and researchers across autonomy teams.
  • Design and evolve infrastructure to support petabyte-scale machine learning workflows, including multimodal perception data, synthetic data, simulation output, and continuous training pipelines.
  • Architect high-throughput systems for distributed training on large GPU clusters, driving significant improvements in utilization, throughput, and job efficiency.
  • Establish robust data governance, observability, and retention strategies to ensure compliance, reproducibility, and long-term data utility.
  • Collaborate cross-functionally with ML engineers, autonomy researchers, data engineers, and DevOps to ensure tight integration between infrastructure and user workflows.
  • Lead technical strategy and roadmap development for the ML & Data Platform team, incorporating cutting-edge tools and best practices from industry and open source.
  • Mentor and influence engineers across teams, promoting engineering excellence in distributed systems, ML platforms, and autonomy-scale data management.

Job Qualifications :

  • 15+ years of meaningful software engineering experience, including significant architecture-level ownership in ML, data infrastructure, or high-scale systems.
  • Proven experience leading the design of ML platforms that serve large-scale training and inference workloads.
  • Deep technical fluency in distributed storage, high-volume data pipelines, and data compression strategies for ML use cases.
  • Strong knowledge of Linux systems, Python, and C++ or similar performance-oriented languages.
  • Experience operating in hybrid environments : bare metal, HPC, and public cloud (AWS / GCP / Azure).
  • Comfortable owning cross-org initiatives and influencing system-level design across autonomy, simulation, and platform teams.
  • Prior work in robotics, autonomous vehicles, or safety-critical domains strongly preferred.

    • Preferred Job Qualifications :

  • Experience building or leading infrastructure at a top-tier ML / AI company or AV program.
  • Background contributing to open-source ML or data infrastructure projects.
  • Familiarity with ML experiment tracking, model evaluation pipelines, and versioned data systems.

    • Job Details :

  • Job Type : Direct Hire
  • Location : Remote
  • Salary Range : $205 – 282k / year.
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