Traverse Technologies

< 10 Employees
< 10 Engineers
$2M - $5M Funding
Pre-Series A

Where are the best places in the world to build a wind farm or a hydropower dam? Traverse is an AI driven professional engineering firm focused on answering these types of question. We use AI, high performance computing and automation to speed up traditional prospecting, feasibility assessment and front end engineering work by 10x. Traverse can prospect for exceptionally high ROI project configurations across entire countries and also optimize the returns of individual projects amongst billions of potential permutations, helping our customers eliminate development risks dramatically.


Why join us?
  • Funded by Chris Sacca

  • Extremely challenging technical issues

  • The disruption of something very big hidden in plain sight

  • Intersection of many things: civil engineering, weather sciences, high performance computing, climate change, public infrastructure


Engineering at Traverse Technologies
Engineering team and processes

We work on 1 week cycles. Meeting on Monday morning where we write down all features and goals we want to accomplish. Daily stand up on progress and requests for help if you are stuck. Friday postmortem meeting on a) either completion of feature or b) discussion on what challenges remain to finish it next week (or to make the issue smaller).

We use a) a Digital Twin document and b) Pivotal Tracker as our main sources of spec clarity. The entire company is an attempt to automate and mimic real physical world manual processes so the Digital Twin spec is the end user requirements equivalent of documentation. Pivotal tracker is the means to break down the larger user story into small pieces of the exact work that has to be completed.

Technical Challenges
  • We have to deal with very large weather datasets and also very large permutations of project configuration possibilities.
  • We have to understand non software real world physical processes (both technical and social) that are not daily-life-intuitive (e.g. bird counting as part of environmental impact analysis) and translate them into interfaces and automation that helps our end users.
  • We have to string many different domains of expertise together - some are very large and specialized stand alone software such as modelling of power systems, Microsoft Excel etc.
  • We have to interface with data collection devices - be it normal camera capture, LIDAR, land surveys with calibration points, rain gauges etc. and ensure seamless and consistent data formats and ingestion interfaces.
  • There is a huge amount of statistics and probability involved.
Projects you might work on
  • See interesting technical challenges.

  • See interesting technical challenges.

  • See interesting technical challenges.

Tech stack
Go
C++
React
C#
.NET
Python

Working at Traverse Technologies

Work culture: communicative and verbose, math and science bent, arguments revolve around evidence or path towards evidence, patience in helping each other but impatient to learn something new or prove a hypothesis, plan lightly but attempt and iterate quickly, responsible and meticulous.

Social culture: chill, mostly shorts and slippers, drink a lot of boba, plays board games, food focus: go out a lot for dinner and lunch to highly reviewed places, mostly non political and pensive bunch.

Free Food
Pet Friendly
Maternal/Paternal Leave
Flexible Hours
Health Insurance
Transportation
Relocation
Company Retreats
Team Activities
Workshops/Conferences

External Links

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