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    Senior/Staff Software Engineer, AV Infrastructure - Mountain View, United States - Gatik AI

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    Description
    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
    More about Gatik:

    With headquarters in Mountain View, CA and offices in Canada, Texas and Arkansas. Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at Gatik for more company information and Jobs @ Gatik for more open roles.

    Gatik News:
    • The 10 most innovative companies in transportation of 2023
    • America's Best Startup Employers of 2023 by Forbes
    • America's Best Startup Employers of 2022 by Forbes
    • Gatik been named as a 2023 FreightTech 25 winner
    • Gatik named a TIME Best Invention of 2022
    • Apeksha Kumavat recognized on the Inc. 2022 Female Founders 100 List
    • Gatik's Gautam Narang on the importance of knowing your customer
    • Gatik CEO Gautam Narang was Named Among the Most Exceptional Entrepreneurs of 2022 by Goldman Sachs
    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.


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