Job Description

Who we are

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 are seeking passionate Senior/Staff Software Engineers, who have strong fundamentals in software development practices and are experts in C++ language in production-oriented environment. The ideal candidate is a highly experienced C++ developer with a passion for 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 AV features for our autonomous fleet.

This role will be onsite at our Mountain View office, 5 days per week.

What you'll do

• Design, implement, integrate, and support real-time mission-critical software for the Gatik’s autonomy stack
• Work with the research engineers to develop maintainable, testable and robust software designs
• Architect and implement solutions to complex issues between components partitioned across the large software stack
• Be at the forefront of guiding & ensuring best SDLC practices while contributing to improving the safety in the core autonomy stack
• Collaborate with the Infrastructure and DevOps teams for efficient, secure and scalable software delivery to a network of Gatik’s autonomous fleet
• Guide and mentor autonomy researchers and algorithm developers to make sure their components are running efficiently and with optimal compute and memory usage
• Review and refine technical requirements and translate them into high-level design & plans to support the development of safe AV technology
• Conduct code and design reviews and advise on technical matters

What we're looking for

• Bachelor's Degree in Computer Science, Robotics or in a related degree
• Master's or PhD degree preferred
• 7+ years relevant industry work experience in a production environment
• Expert software developer in C++ and build systems (Conan, Cmake, Bazel)
• Experience using software project management software (Jira, Confluence, etc.)
• Proven system integration and software architecture skills
• Strong background in linear/non-linear optimization, linear algebra or statistics
• Experience with building frameworks/software infrastructure for large scale projects

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 for more company information and for more open roles.

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