Staff Software Engineer, AV Infrastructure and DevOps Mountain View, CA

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 looking for a skilled & experienced Software Engineer to join our AV Infrastructure & DataOps, focusing on critical automation tools and pipelines for our autonomous vehicle software stack. This team is at the forefront of our efforts to streamline and optimize our processes for the development, validation & deployment of Gatik’s autonomous vehicle software. Composed of skilled engineers and developers, our team is responsible for designing, building, and maintaining the infrastructure and tools that power our DevOps and automation initiatives. Working closely with cross-functional teams, including software engineering, data science, and operations, our team plays a vital role in ensuring the seamless operation of our software development lifecycle. From designing CI/CD pipelines to developing monitoring and analytics tools, we are dedicated to enabling our teams to deliver high-quality software at scale. As a member of our team, you'll have the opportunity to work on cutting-edge technologies and contribute to groundbreaking projects that are shaping the future of transportation. If you're passionate about automation, innovation, and making a meaningful impact, we invite you to join us on this exciting journey.

This role is onsite at our Mountain View, CA office.

What you'll do

• Designing, developing, and maintaining automated tools and processes for DevOps and automation, ensuring scalability, reliability, and efficiency.
• Developing and maintaining data extract/transform/load (ETL) jobs, including a web UI to manage local and cloud high-volume data pipelines.
• Creating and maintaining monitoring, analysis, scheduling, and reporting tools for various developer operations within the autonomy software stack.
• Building and maintaining automated testing frameworks, performance testing tools, and continuous integration pipelines to ensure software quality and reliability.
• Developing and managing CI/CD pipelines to automate and streamline testing and deployment processes, facilitating rapid and reliable software delivery.
• Monitoring and maintaining system performance and reliability, proactively identifying areas for improvement and implementing solutions.
• Implementing and managing container technologies such as Docker and Kubernetes to optimize deployment and scalability.
• Collaborating with the team to work with public cloud platforms, particularly Azure, to leverage cloud services and infrastructure for our DevOps processes.

What we're looking for

• BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience
• 10+ years of experience working in a DevOps or related role in a fast-paced and dynamic environment.
• Excellent scripting skills (python, shell), great coding skills and a deep understanding of OOP concepts
• Hands-on experience with data ETL processes and tools, as well as web development frameworks – front-end (e.g. JS, React, Vue, Dash, Streamlit) and back-end services (e.g Flask, FastAPI, Django) services
• Strong knowledge of monitoring and analytics tools, and experience with performance testing and optimization.
• Experience with DevOps concepts such as CI / CD, Docker, Jenkins and automation tools
• Working knowledge of Network fundamentals, including diagnostics with OS system tools
• Experience in Linux scripting, secure server setup and maintenance
• Experience working with cloud architectures such as Azure

Bonus Points

• Experience with ROS/other robotics middle-ware platforms. Middleware experience with RTPS systems such as DDS
• Experience with one or more neural network frameworks, such as Tensorflow or PyTorch
• Advanced knowledge of Network fundamentals