Feuji · 1 day ago
Virtualization Engineer
Los Altos, CA
Contract
Onsite
Mid LevelFeuji is seeking a contractor to help build and evolve their internal data platform that supports vehicle testing, experimentation, and machine learning workflows. The role involves implementing data ingestion pipelines, automated processing workflows, and web-based visualization tools.
ConsultingInformation Technology
No H1B
Hiring Manager
Rehan Qureshi
Responsibilities
Implement and extend data ingestion and processing workflows for large, heterogeneous datasets collected from vehicle tests and ML pipelines
Contribute to improving orchestration, scheduling, and reliability of long-running data workflows operating under real-world constraints
Integrate downstream automation such as metric computation, plotting, and LLM-based postprocess tooling
Implement backend services and APIs that support data indexing, metadata management, and experiment tracking
Build user-facing web-based tools and dashboard that allow users to browse datasets, inspect results, and understand experimental progress over time
Work with a SQL-backed database to store metrics, experiment metadata, and summaries, ensuring the data can be queried and accessed consistently across systems
Contribute to data traceability and provenance mechanisms that capture how datasets are generated, transformed, and consumed in ML workflows
Own and extend an existing data ingestion system responsible for uploading vehicle test data to Amazon S3
Improve ingestion orchestration to support: Upload prioritization for small datasets, Deferred upload scheduling for large datasets during off-hours, Automatic discarding of data explicitly marked as trash, Persistent queueing and resumability across server restarts or failures
Maintain ingestion reliability under constrained network bandwidth
Extend the current web interface for clarity, reliability and extendability
Integrate ingestion workflows with post-processor, such as: Existing LLM-based automatic annotation module, Automating plot generation, Metric computation pipelines
Package and deploy the annotation system as a service (e.g., EC2-based)
Implement orchestration logic to trigger annotation jobs opportunistically when ingestion resources are idle
Store metrics, experiment metadata, plots and summaries in SQL-backed database layer
Implement and extend a SQL-backed metrics database using schemas defined by the team
Define schemas to support: Multiple projects, Baselines vs experimental runs, Historical comparisons
Build automated pipelines to compute and register metrics after ingestion
Implement project-level leaderboard functionality to track: Best performance per metric, Accepted baselines vs rejected experiments
Develop a web-based visualization interface to: Display time-series progress, Visualize metric tradeoffs, Summarize experimental outcomes
Design and implement a data provenance system for ML datasets
Track: Source S3 URIs, Post-processing operations applied to datasets
Implement a registry of post-processing functions with support for: Easy addition and removal, Versioning and configuration tracking
Generate human-readable dataset identifiers
Enable lookup and inspection of dataset lineage via API and/or web interface
Qualification
Required
Experience with Python for backend services, data pipelines, and automation
Working knowledge of SQL, including writing queries and understanding database schemas
Experience building web-based tools, including: Backend APIs (e.g., FastAPI, Flask, or similar), Frontend applications using React or other modern frameworks
Familiarity with AWS and cloud-based storage or services
Comfortable working in Linux environments
Preferred
Interest in autonomous racing and vehicle dynamics research
Prior internship or project experience involving data pipelines, dashboards, or analytics tools
Exposure to data visualization libraries, ML workflows, or experiment tracking systems
Company
Feuji
Feuji is a technology company delivering Digital Transformation, Cloud, Data and Insights, Cyber Security, and Strategic Staffing solutions.
Founded in 2014
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Amar Naga
President & Chief Growth Officer
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