Frontend Software Engineer, Data Platform
Frontend engineer building the browser-based analysis UI for Revel's new telemetry data platform, which ingests and serves hardware test data for aerospace, defense, robotics, and energy customers. Daily work centers on React/TypeScript data visualization, performance tuning, and application state design.
- Compensation
- Not disclosed
- Location
- Los Angeles, San Francisco
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Build reliable, maintainable frontend applications using React and TypeScript
- Make complex workflows understandable and explain the tradeoffs behind decisions
- Work directly with users and understand the engineering problems behind their requests
- Demonstrated technical depth through something built (job, research, coursework, open source, or independent project)
- ITAR eligibility: U.S. citizen/national, lawful permanent resident, refugee, or asylee (or eligible for required State Department authorizations)
Nice to have
- Experience with time series visualization, data-analysis tools, or performance-intensive browser applications
Full description
About Revel
Revel is the software platform for hardware test and control. Aerospace, defense, robotics, and energy teams use Revel to build control diagrams, stream telemetry, and operate the hardware they're developing.
Location: San Francisco, Los Angeles
The Role:
We’re building a new data platform to add to Revel's current products. The data platform receives, stores, and serves telemetry from our customers' hardware. It helps customers develop and operate their hardware faster and more effectively.
Problems you'll work on:
- Powerful analysis in the browser. You will build user experiences which help engineers to interactively explore data on time scales ranging from nanoseconds to years, to compare test events, and to calculate derived channels on the fly.
- Performance. You will fight to retain excellent performance despite plotting thousands of series at the same time, having multiple kinds of visualizations on screen, and showing supporting entities like markers in time.
- Application state. You will design how to manage application state to support data selection, filtering, calculations, plot layouts, shared views, and much more while keeping the interface and workflows understandable for end users.
What you'll do
- Learn how hardware engineers explore and analyze telemetry
- Define a vision for an elegant user interface which makes common workflows intuitive while giving expert users powerful tools
- Ship and iterate on analysis workflows with hardware engineers
- Build data visualization plugins for a variety of use cases (e.g. numeric timeseries, console logs, videos, maps, custom binary viewers, and more)
- Prototype and evaluate LLM-assisted analysis workflows with customers.
- Work directly with customers to understand their needs, to demo prototypes, and to use customer feedback to guide iteration
What we are looking for
- You can build reliable, maintainable frontend applications using React and Typescript.
- You can make complex workflows understandable and explain the tradeoffs behind your decisions.
- You want to work directly with users and understand the engineering problems behind their requests.
- You’ve demonstrated technical depth through something you built—in a job, research, coursework, open source, or an independent project.
- Experience with time series visualization, data-analysis tools, or performance-intensive browser applications is a plus.