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1 day agoashby

Software Engineer, Data Visualization

Build AI
San Francisco, California, United StatesUSD180,000 - USD300,000 / YEAROn-site
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AI Summary

Design and build a comprehensive data visualization suite including collection, processing, and UI for dataset and pipeline health. Collaborate with research and operations teams to ensure data is actionable and accessible through high-performance tools.

Strong software engineering background with a proven track record in data visualization or internal tool development. Experience working with large media datasets and the ability to thrive in a fast-paced, early-stage environment is essential.

Job Details
Job Type: FULL TIME
Visa Sponsorship: No
Salary: USD180,000 - USD300,000 / YEAR
Work Arrangement: On-site
Experience Level: 5 - 10 years
Hours: 40 hrs/week
Language: English
Benefits
Medical insuranceDental insuranceVision insuranceMedical benefits waiver creditHousing subsidyRelocation supportWellness benefitsFitness benefitsMental health benefitsDaily lunchDaily dinnerUnlimited compute budgetEquity
Key Skills
Software engineeringData visualizationInternal toolsProduct UIPythonTypeScriptReactWebGLCustom renderersData analysisData collectionPipeline health monitoringUI designCLI development
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About Job

About Build AI

Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the physical labor dataset orders of magnitude faster than anyone in the world.

Job Summary

We’re hiring someone to make it incredibly easy to see the dataset, collection, quality, and evals. You will build the analysis and visualization layer — from capture through slices, examples, and live pipeline health — so people look at the data instead of dumping to a notebook. If someone has to wait on you for a plot, the product is not done.

Key Responsibilities

  • Design and ship a visualization suite: data collection, processing, analysis, and UI (web and/or CLI) for the dataset and the data engine

  • Make looking at examples, batches, coverage, quality, and failures fast enough that research and ops actually do it

  • Build views for collection health, taxonomy coverage, and eval results, wired to live pipelines rather than one-off dashboards

  • Work with Head of Dataset & Quality, Evals Lead, research, and ops on what must be visible to make a decision

  • Treat viz as a product: latency, defaults, shareability, and a bar for how we look at video and pose

You may be a good fit if you have (Must-have qualifications)

  • Strong software engineer with a track record of data viz, internal tools, or product UI on heavy data

  • You care about making other people faster, not only about a pretty demo

  • Comfortable with large media — video, pose, or similar

  • Fine in a 0→1 environment where “everything” is still being defined

Strong candidates may also have experience with (Nice-to-have qualifications)

  • WebGL, custom renderers, or high-performance browser viz

  • You have shipped internal tools that other teams live in

  • Experience building analysis UIs (timelines, slice explorers, statistical summaries)

  • Python plus TypeScript/React

Benefits

  • Competitive pay

  • Medical, dental, and vision packages with generous premium coverage

  • $500 per month credit for waiving medical benefits

  • Housing subsidy of $2k per month for those living within walking distance of the office

  • Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)

  • Various wellness benefits covering fitness, mental health, and more

  • Daily lunch and dinner in our office

  • Unlimited compute budget subject to ROI justification

  • Travel

How we're different

Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.

We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai