Principal Engineer

dynamism; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Equity

In-person 4 days/week in SF

Job summary

dynamism in San Francisco is seeking a Geospatial Engineering Lead to build the geospatial foundations of the product, integrating imagery, vehicle telemetry, GIS data, and engineering documents into a trusted asset model for public works teams. You will design asset connections and map-based experiences that enable decision-makers to plan and act.

Work with ML engineers on validation and provenance, own cross-system challenges from ingest to customer-facing behavior, and contribute to a

Qualifications

• You have built software involving maps, imagery, telemetry, robotics, or field data.
• You can carry a data problem through to a useful customer experience.
• You are an active builder who can also guide architecture and teammates.

Responsibilities

• Design how assets, locations, conditions, evidence, and work connect.
• Build map-based experiences for public works teams in the office and field.
• Partner with machine learning engineers on validation, provenance, and fallbacks.
• Own difficult cross-system problems from ingest through customer-facing behavior.

Skills

Maps

Imagery

Telemetry

Robotics

Field data

Tools

Mapbox

React

TypeScript

Express

Geospatial databases

Job description

Geospatial Engineering Lead
Base salary: $200K to $300K plus equity
Location: San Francisco, 4 days in person | Full time

A map can be more than a picture. Walton County, Georgia, has used historical road imagery to answer a real asset question, and Covington, Kentucky, is bringing the platform into pavement planning. Lead the engineering that lets cities connect what was seen on the street to what they decide to repair, fund, and maintain.

We are hiring for a company building the operating layer for the infrastructure cities maintain. Roads are the starting point: imagery, vehicle data, GIS records, engineering documents, and local knowledge become a living map of assets and their condition. Public works teams can use that evidence to plan capital, explain priorities, and manage work. The longer ambition reaches sidewalks, drainage, signs, bridges, and other public assets.

The product has customers, revenue, and funding, while the engineering choices that define the next phase are still open. You would join a world-class engineering team that includes a founding software engineer formerly at Brex and a machine learning engineer formerly at X, Google's moonshot factory.

What you'll own

You will build the geospatial foundations of the product and the workflows that make them useful. Imagery, vehicle telemetry, GIS files, engineering documents, and human review must come together in an asset model people can inspect and trust.

• Design how assets, locations, conditions, evidence, and work connect.
• Build map-based experiences for public works teams in the office and field.
• Partner with machine learning engineers on validation, provenance, and fallbacks.
• Own difficult cross-system problems from ingest through customer-facing behavior.
  

Problems you'll solve

Physical-world data is incomplete, inconsistent, and time dependent. You will help a city understand what changed, which evidence supports a condition, and where a human needs to check the model before a decision is made.

Candidate fit

• You have built software involving maps, imagery, telemetry, robotics, or field data.
• You can carry a data problem through to a useful customer experience.
• You are an active builder who can also guide architecture and teammates.
• You can work in San Francisco in person 4 days per week.
  
• Base salary: $200K to $300K, plus founding team equity.
• Full time, San Francisco, 4 days in person.
• Work directly with the founder and a small engineering team.
• Core stack: React, TypeScript, Mapbox, Express, geospatial data, and practical infrastructure.
• Visa sponsorship has not been confirmed; please ask if this affects your search.