Data & ML Infrastructure Architect

Data & ML Infrastructure Architect

Position 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.

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies . Were passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.