Software Engineer, Data Visualization

Build AI; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive pay

Medical, dental, and vision packages

Housing subsidy

Relocation support

Wellness benefits

Daily lunch and dinner

Unlimited compute budget

Unlimited Codex and Claude credits

Travel

Job summary

Build AI is hiring a software engineer to build the visualization and analysis layer for the dataset and data engine. You’ll ship a UI/web or CLI to expose collection health, quality, evals, and pipeline status, making it fast to inspect data than dumping to notebooks.

You’ll work with the Head of Dataset & Quality, Evals Lead, research, and ops to decide what should be visible; expect to treat viz as a product with attention to latency, defaults, and shareability in a fully in-person SF team.

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.

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.

Skills

Data viz

Internal tools

Performance minded

Large media handling

Tools

Python

TypeScript/React

Job description

About Build AI

Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training 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

• Unlimited Codex and Claude credits

• 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: [e-mail]