We are a San Francisco based team building self-driving semi trucks. We have raised $117MM in total and are backed by Tiger Global Management ($70MM Series C) and Sequoia Capital ($30MM Series B). We move freight daily between LA and Phoenix using our purpose built transfer hubs. This is an incredibly exciting time for autonomous driving and our team is looking to grow.

Summary

We are looking for a software engineer to lead, and contribute to, the development of software for the purposes of building map extensions, applying map corrections, performing map quality inspection, and improving ease and robustness of access to map data.

Background

Embark uses high-definition maps as one of the important data sources guiding the operation of our trucks in autonomous mode. These maps contain high-accuracy road and lane geometry, as well as several layers of additional road- and location-related attributes.

This role would be a part of the Perception Team. The Perception Team is responsible for designing algorithms and applying machine learning to create in-truck software, for the purpose of creating a reliable statistical three-dimensional model of the relevant environment around our self-driving trucks, using all available sensor, vehicle, and map data. This resulting World Model is used by downstream in-truck software components to plan and execute truck behavior.

Responsibilities

The successful candidate would be responsible for:

- Leading and contributing to the research, design, implementation, testing, and maintenance of software or processes with the following aims:

- Ease and robustness of access to map data

- Identifying map deficiencies

- Facilitating map changes and extensions

- Measuring map geometry accuracy, including identifying practical sources of ground truth

- Being a single point of contact to vendors of map data and map-related tools

For certain responsibilities, this engineer would receive technical guidance from Embark specialists in relevant technical domains, as for example in statistically combining map data from multiple sources. 

Depending on company priorities and candidate interests and background, this role could get involved in other map-related work, such as combining, in real-time, map data with data from sensors, for more robust real-time perception.

This role would initially report to the Perception Team lead. The successful candidate would contribute software development with several other engineers on projects within the scope of the above responsibilities, technically lead the direction of those engineers, and manage the projects. The role would, at least initially, not have any direct people reports, but would have decision authority for the projects, and would have influence on assessments of people contributing to those projects. Depending on the background and interest of the candidate, there is future potential for also managing the people developing map software. 

Required:

- Strong C++ knowledge and experience

- Strong Python knowledge and experience

- 3+ years of experience developing production software

- Experience being responsible for on-time delivering substantial software projects that meet performance metrics

Preferred:

- 5+ years of experience developing software

- Experience working with geographic data, including means of visualizing, organizing, and manipulating it

- Experience working with large data, in particular relating to efficient organization and communication

- Experience architecting and interfacing to databases

- Experience developing user interfaces

- Experience with methods for dealing with uncertain or noisy data

- Experience developing real-time software

- Exposure to, or demonstrated interest in, autonomous vehicles development

- Education in engineering, computer science, math, or physical sciences

- Ability to communicate concisely but unambiguously in written and spoken form

When you apply, address the application to Kiana and let me know why you want to join our team.

A few company highlights:

Embark Blog - Series C and Transfer Hubs

Forbes - 70 Million Dollar Series C 

Video - Day in the life of a self-driving truck

Embark Blog - Disengagement Report

30 Million Dollar Series B led by Sequoia