Principal Software Engineer, Generative AI (R3373)

As a Principal Engineer on the Generative AI (Gen AI) Team, you will play a pivotal role in harnessing generative AI technologies to enhance the velocity and efficiency of our internal developers and customers. This cross-functional team operates under the Systems Group and collaborates closely with Software Operations, Autonomy Factory Team, and other key stakeholders to integrate AI-driven solutions into our products and processes.

WHAT YOU'LL DO:

• Core Product Enhancements: Develop and integrate generative AI tools to augment existing feature sets for both internal and external consumption.
• Standalone Applications: Design and implement new AI-driven tools aimed at improving developer velocity, such as upgrade assistants and documentation aides.
• Internal Process Tools: Create and deploy AI solutions focused on enhancing internal release velocity, including PR review automation and bug resolution agents.
• Collaboration: Work closely with the Software Operations group to define requirements and timelines for compute and networking needs, ensuring adherence to best practices and IP safety standards.
• Integration: Partner with the Autonomy Factory Team to incorporate AI tooling into the deployed server, enhancing workflows and user experiences.

REQUIRED QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 15+ years of experience developing large, production-quality software systems for Machine Learning or Autonomy.
• Expertise in modern programming languages such as Python, C++, or Go.
• Proven experience with generative AI models and frameworks, including training, fine-tuning, and deployment.
• Strong knowledge of software development best practices, including CI/CD, version control (Git), and code management tools.
• Demonstrated ability to lead cross-functional projects and mentor junior engineers.

PREFERRED QUALIFICATIONS:

• Familiarity with AI integration into developer tooling and workflows.
• Knowledge of cybersecurity best practices related to AI deployments.
• Experience with cloud platforms and scalable AI infrastructure.