Who we areGatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world's first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.
The company's proprietary Level 4 autonomous technology, Gatik Carrier , is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.
About the roleWe are looking for talented Staff Engineers with expertise in classical and modern computer vision techniques to lead or actively contribute to the architecture, design, implementation, and delivery of a multi-modal perception system. The ideal candidate will be a software expert who has overseen a process from the R&D phase through product shipment and has a passion for leading teams and developing real-world solutions.
This role is onsite at our Santa Clara, CA office.
What you'll do- Design and implement key components of perception system such as object detection, object tracking, and multi-sensor fusion
- Build software infrastructure to enable learning algorithms to leverage large scale image/LIDAR data
- Design and write highly optimized pipelines for data pre-processing, model training, data post-processing, inferencing etc.
- Train perception models, evaluate their performance, investigate and fix performance bottlenecks
- Develop scalable training and evaluation tools and infrastructure
- Collaborate with other engineers to conduct system integration and tests
What we're looking for- Masters' or Ph.D. degree in Computer Science, Electrical Engineering, Robotics or related field
- 7+ years of related experience
- 2+ years of professional experience working on Computer Vision using C++ and OpenCV
- Expert knowledge of modern C++ (C++11 or later) and Python
- Experience in deploying perception algorithms into real-world environments
- Familiar with NVIDIA software libraries such as CUDA or TensorRT
- Experience building testing and evaluation platforms
- Familiarity with deep learning applied to computer vision problems
- Experience working on Computer Vision problems in at least two of the following subjects: Feature detection & matching, Image Filtering, Object Tracking, 3D Estimation, 3D Reconstruction, SLAM
- Proficiency in modern container technologies including Docker and Kubernetes
- In-depth understanding of software performance and optimization
- Strong math fundamentals and a good grasp of 3D geometry and vector math
- Worked with one or more neural network frameworks, such as Tensorflow or PyTorch
Salary Range - $180,000- $260,000
More about GatikFounded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.
We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile - with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik's well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.
Visit us at Gatik for more company information and Careers at Gatik for more open roles.
Notable News- Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
- Forbes: Hundreds' Of Gatik Robot Delivery Trucks Headed For U.S. Roads
- Forbes:Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
- Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs
- Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry
- Business Wire: Gatik Paves the Way for Safe Driverless Operations ('Freight-Only') at Scale with Industry-First Third-Party Safety Assessment Framework
- Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS
- Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning
- Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services
- Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes
- Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny
Taking care of our teamAt 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.
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