Senior Autonomy Engineer
Slam
Updated on 2/3/2024
Fox Robotics

51-200 employees

Automated forklifts for efficient warehouse operations
Company Overview
Fox Robotics, a warehouse automation startup based in Austin, TX, is leading the industry with its advanced automated forklifts that are capable of complex tasks such as trailer unloading. The company's technology, which combines robotics, machine learning, and optimization, allows for a single operator to manage multiple unloaders, significantly reducing labor costs and increasing operational efficiency. With a focus on safety, scalability, and environmental sustainability, Fox Robotics provides a reliable solution for warehouse operations, offering opportunities for employees to transition into more skilled roles.
AI & Machine Learning
Industrial & Manufacturing
Robotics & Automation

Company Stage

Seed

Total Funding

$41.4M

Founded

2018

Headquarters

Austin, Texas

Growth & Insights
Headcount

6 month growth

27%

1 year growth

41%

2 year growth

142%
Locations
Austin, TX, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Computer Vision
CategoriesNew
AI & Machine Learning
Mechanical Engineering
Software Engineering
Requirements
  • 5+ Years experience working on localization or SLAM systems
  • Proficient understanding of computer vision, state estimation, 3D geometry and linear and non-linear optimization methods
  • Expertise in C++ and familiarity with Python
Responsibilities
  • Design and build components of a modern SLAM system
  • Develop and maintain robust sensor calibration routines
  • Work with other engineers as part of a close-knit team
  • Participate in production on-call support rotations
  • Travel to customer sites for field immersion at least 2x / year
  • Mentor junior team members
Desired Qualifications
  • MS or PHD in robotics ideally with a concentration on SLAM
  • Expertise in one or more SLAM related areas such as visual and / or LiDAR SLAM, semantic SLAM, and VIO
  • Understanding of CERES or g2o
  • At least 3 year workings on SLAM systems in the industry
  • Knowledge of deep local features
  • Experience working with multi modal SLAM systems
  • Object detection and instance segmentation
  • Multi sensor extrinsic calibration experience
  • Experience bringing a product to market; especially within a startup environment