we are at the forefront of revolutionizing the automotive industry with its cutting-edge autonomous vehicle (AV) technology. If you're a highly skilled and driven individual who thrives on innovation and wants to shape the future of transportation, come join us! We are seeking a dynamic and experienced Integration Engineer to be part of our Optimization team.
This role uniquely combines the responsibilities of a Software Integrator and a CI Engineer. As a key player in our growing software group, you will design, support, and build automated code testing environments, ensuring a smooth integration process for our software components. Your expertise will directly contribute to our intensive development process while maintaining robust, live production environments. Join us to make a difference in how the world drives!
What will your job look like:
Manage version releases and ensure timely delivery of AV products to stakeholders.
Collaborate with developers to integrate complex software components into a cohesive whole.
Partner with downstream integrators in the deployment pipeline to ensure seamless delivery.
Leverage and utilize GenAI tools and LLM-driven automation to improve and accelerate the software integration and debugging process.
Analyze source code, resource constraints, and test scenarios to identify, prioritize, and resolve integration and performance issues.
Debug complex, multi-domain issues in production and hardware-validation platforms.
Develop, enhance, and maintain automated scripts and CI pipelines for diverse development and validation teams.
Contribute to the continuous optimization of our AV infrastructure and core software codebase.
Build robust, scalable CI solutions utilizing Python, Shell scripting, Jenkins, and Docker.
Requirements: Bachelor's degree in Computer Science, Software Engineering, or a related field.
3+ years of hands-on experience in C/C++.
Proficient knowledge of Git and GitLab.
Strong programming skills in Python - a significant advantage.
Practical experience with CI/CD tools and test automation framework design - an advantage.
Experience with GenAI productivity tools (e.g., Copilot, LLM APIs) for code analysis, scripting, or log parsing - an advantage.
Solid systemic understanding of software architecture and system-level resource constraints (memory, latency, throughput).
Strong analytical and problem-solving skills.
Excellent interpersonal and communication skills, with a proven ability to collaborate across teams.
This position is open to all candidates.