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Data & ML Infrastructure Architect
16300 Christensen Rd #135 Hillsborough, CA 94010 US
Job Description
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. We’re passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
Meet Your Recruiter
Jessica Dunkinson
I began working for Protingent in 2019. Our openings can really fluctuate with the needs of the market, and I especially enjoy working in niche and unique roles. My recruiting style is transparent and to the point and I strive to be as helpful as possible without wasting anyone’s time. I strive to help candidates achieve a fulfilling role, no matter their parameters, and my philosophy is “don’t make excuses, make improvements”. I love recruiting because every day is different; I get the opportunity to speak with a large variety of people while learning the tech industry. My favorite part of the job is being able to make a difference in an individual’s life and helping companies that are making a difference in the world.
I look forward to hearing from you. Jessica