Senior​/Software Engineer, Controls

Senior/Staff Software Engineer, Controls

Mountain View, CA

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.

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 Mountain View, CA office!

• 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.

• 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 background 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.

• Familiar with dSPACE and vehicle dynamic modeling tool chains.
• Familiar with SiL/HiL setup and automotive‑grade simulation tools such as Truck Sim and IPG Truck Maker.
• Familiar with CI/CD and pipeline management.

Salary Range: $180,000 – $250,000

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 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.