Staff Software Engineer, Localization and Mapping

Who we are:

Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.

About the role:

We are seeking senior or staff software engineers for our localization and mapping team to build state-of-the art mapping pipelines that combine data from a wide variety of sensors, as well as localization algorithms that make use of these maps in realtime. We are looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team

What you'll do:

Develop mapping algorithms and create a robust mapping pipeline that supports the building of high definition maps at large scale

Build well-tested C/C++ software and deploy and test on our AV platforms and in simulation

Investigate, test, and calibrate sensors for integration into sensor fusion algorithms

Implement other lidar and camera data ingestion and pre-processing/filtering algorithms

Develop projects such as online and offline localization, global localization, state bootstrapping

Analyze and architect safety and redundancy in the localization system

Own and drive highly visible performance metrics (e.g. latency, memory, bandwidth, power)

What we're looking for:

MS or Ph.D. in robotics, SLAM, localization, or related fields

6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs etc

Experience with pose estimation, SLAM, probabilistic filtering, non-linear optimization and 3D data

Practical experience in processing large-scale and real-world data

Experience implementing mathematical principles effectively in software; experienced in Eigen, Ceres/G2O/GTSAM, Boost, etc

Expert-level knowledge of SLAM - frontend and backend, point cloud registration, GNSS/INS

Familiar with Deep Learning techniques for localization and mapping applications, especially feature detection and pose regression

Experience with existing deep learning tooling (e.g., TensorFlow, PyTorch)

Experience with Linux / ROS

Research background in SLAM and/or publications in localization and mapping application

More about Gatik:

With headquarters in Mountain View, CA and offices in Canada, Texas and Arkansas. Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at Gatik for more company information and Jobs @ Gatik for more open roles.

Gatik News:

The 10 most innovative companies in transportation of 2023

America’s Best Startup Employers of 2023 by Forbes

America’s Best Startup Employers of 2022 by Forbes

Gatik been named as a 2023 FreightTech 25 winner!

Gatik named a TIME Best Invention of 2022

Apeksha Kumavat recognized on the Inc. 2022 Female Founders 100 List

Gatik’s Gautam Narang on the importance of knowing your customer

Gatik CEO Gautam Narang was Named Among the Most Exceptional Entrepreneurs of 2022 by Goldman Sachs

Taking care of our team:

At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.

We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.