Senior Software Engineer, Controls

Gatik; Santa Clara (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Gatik is seeking passionate Software Engineers with strong fundamentals in software development and expert-level C/C++ and Matlab/Simulink in production environments. You will contribute to the AV control and optimization features of our autonomous fleet, collaborating with research and software engineers to design, test, and validate mission-critical software.

This onsite role at the Santa Clara, CA office requires deep knowledge of MPC, Kalman filters, and optimization, with a focus on safe,

Qualifications

• 5+ years of production-level experience in C/C++ and Matlab/Simulink.
• MSc or PhD in Mechanical/Electrical Engineering, Robotics, or Computer Science with a background in controls and optimization.
• Deep understanding of optimal control, MPC, and Kalman filtering.
• Experience with optimization techniques and solvers to create robust controllers.
• 2+ years of experience in the AV/ADAS industries.
• Experience using source control, containerization, ROS2, CAN, Python, and Linux.

Responsibilities

• Design, implement, integrate, and support real-time mission-critical software for Gatik’s autonomy stack.
• Work with research engineers to develop maintainable, testable software designs.
• Collaborate with the Control team to develop, design, and implement control and optimization methods in simulation and in-vehicle testing.
• Support rapid prototyping of new methodologies via SiL and HiL.
• Participate in tuning, calibration, and in-vehicle testing.
• Participate in visualization and post-processing of test data.
• Collaborate with planning, localization, dbw, and testing teams for secure, scalable software integration.

Skills

C/C++

Matlab/Simulink

Control & Optimization

Kalman Filtering

Python

Linux

Education

MSc or PhD in Mechanical/Electrical Engineering, Robotics, or Computer Science

Tools

ROS2

CAN

Containerization

Python

Linux

Job description

Gatik, 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 role

We seek passionate Software Engineers with strong fundamentals in software development practices and who are experts in C/C++ and Matlab/Simulink languages in production-oriented environments. The ideal candidate has a solid background in Control and Optimization and is a highly experienced software developer passionate about enabling the world's first safe, reliable & efficient network of autonomous vehicles. You will partner with the research and software engineers to design, develop, test, and validate our autonomous fleet's AV control and optimization features.

This role is onsite 5 days a week at our Santa Clara, CA office!

What you'll do

• Design, implement, integrate, and support real-time mission-critical software for Gatik’s autonomy stack.
• Work with the research engineers to develop maintainable, testable, and robust software designs.
• Work with the Control team to develop, design, and implement the control and optimization methods in simulation and through in-vehicle testing.
• Support rapid prototyping of new methodologies via SiL and HiL.
• Participate in tuning, calibration, and in-vehicle testing.
• Participate in the visualization and post-processing of test data.
• Collaborate with planning, localization, dbw, and testing teams for efficient, secure, and scalable software integration

What we're looking for

• MSc or PhD in Mechanical/Electrical Engineering, Robotics, or Computer Science with a background in controls and optimization.
• Deep understanding of optimal control, MPC, and Kalman filtering.
• 5+ years of production-level experience in C++/C (high and low level coding) and Matlab/Simulink.
• Experience using optimization techniques and tools/solvers to create robust and performant controllers.
• Solid backgrounds in math and linear algebra, and vehicle dynamics modeling and controls.
• 2+ years of experience in the AV/ADAS industries.
• Experience using source control, containerization, bash scripting, ROS2, CAN, Python, and Linux.

Bonus Qualifications

• Familiar with dSPACE and vehicle dynamic modeling toolchains.
• Familiar with SiL/HiL setup and automotive-grade simulation tools such as TruckSim and IPG TruckMaker.
• Familiar with CI/CD and pipeline management.

Salary Range- $180,000- $250,000

More about Gatik

Founded 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
• 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 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.