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Junior Research Infrastructure Engineer

United States, Sunnyvale · Job Posted February 18, 2026
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Job Description

We are seeking a Product-Minded Junior Research Infrastructure Engineer to join our growing team. This is a '70/30' role: you will spend 70% of your time on hardcore backend and infrastructure—tackling complex distributed systems—and 30% of your time building intuitive internal tools that transform our platform capabilities into a seamless product experience for researchers. You will design, build, and operate distributed data systems that power large-scale ingestion, processing, and transformation of datasets used for AI model training. This is a versatile role: you’ll own end-to-end pipelines, ensure data quality and scalability, and collaborate closely with ML researchers to prepare diverse datasets for cutting-edge model training. You’ll thrive in our fast-paced startup environment, where problem-solving, adaptability, and wearing multiple hats are the norm.

Job Responsibility

  • Participate in the design and implementation of distributed task orchestration systems using Temporal or Celery
  • Architect pipelines across cloud object storage (S3, GCS), data lakes, and metadata catalogs
  • Implement partitioning, sharding, and caching strategies to ensure data processing pipelines are resilient, highly available, and consistent
  • Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data (images, 3D/2D assets, binaries)
  • Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics
  • Support preprocessing of unstructured assets (e.g., images, 3D/2D models, video) for training pipelines, including format conversion, normalization, augmentation, and metadata extraction
  • Implement validation and quality checks to ensure datasets meet ML training requirements
  • Collaborate with ML researchers to quickly adapt pipelines to evolving pretraining and evaluation needs
  • Use infrastructure-as-code (Terraform, Kubernetes, etc.) to manage scalable and reproducible environments
  • Manage data assets using Databricks Asset Bundles (DABs) and build rigorous CI/CD pipelines (GitHub Actions)
  • Focus on maximizing cluster utilization (CPU/Memory) and optimizing EC2 instance allocation to aggressively reduce compute costs
  • Take ownership of the platform's 'Interface' by building Data Explorers and management consoles using React or Next.js
  • Actively listen to researchers and data scientists to iterate on UI/UX based on their feedback
  • Simplify complex CLI operations into intuitive GUI interactions to boost overall developer experience (DevEx)

Requirements

  • 2+ years of experience in software engineering, backend development, or distributed systems
  • Strong programming skills in Python (plus Scala/Java/C++ a plus)
  • Familiarity with distributed frameworks (Spark, Dask, Ray) and cloud platforms (AWS/GCP/Azure)
  • Experience with workflow orchestration tools (Temporal, Celery, or Airflow)
  • Proficiency with Infrastructure as Code (Terraform) and CI/CD tools (GitHub Actions)
  • Experience building web applications or internal tools using React or Next.js
  • A 'product-first' mindset: an interest in how users interact with infrastructure and a desire to build clean, functional interfaces

Nice to have

  • Experience handling large-scale unstructured datasets (images, video, binaries, or 3D/2D assets)
  • Familiarity with AI/ML training data pipelines, including dataset versioning, augmentation, and sharding
  • Exposure to computer graphics or 3D/2D data processing
  • Kubernetes (K8s) for distributed workloads and cluster orchestration
  • Data lakehouse platforms (specifically Databricks and DABs)
  • Familiarity with GPU-accelerated computing and HPC clusters
  • Experience with 3D/2D asset processing (geometry transformations, rendering pipelines)
  • Located in or near one of our employee hubs — Bay Area, CA
  • Seattle, WA

What we offer

  • Competitive salary, equity, and benefits package
  • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology
  • Flexible work environment, with options for remote and on-site work
  • Opportunities for fast professional growth and development
  • An inclusive culture that values creativity, innovation, and collaboration
  • Unlimited, flexible time off
  • Stock options available for core team members
  • 401(k) plan for employees
  • Comprehensive health, dental, and vision insurance
  • The latest and best office equipment

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