Principal Software Engineer, Generative AI (R3373)

13 Minutes ago • 15 Years + • Research Development

Job Summary

Job Description

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.
Must have:
  • Develop and integrate generative AI tools to augment existing feature sets.
  • Design and implement new AI-driven tools improving developer velocity.
  • Create and deploy AI solutions enhancing internal release velocity.
  • Work closely with Software Operations group to define requirements and timelines.
  • Partner with Autonomy Factory Team to incorporate AI tooling into deployed server.
Good to have:
  • 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.
Perks:
  • Bonus
  • Benefits
  • Equity

Job Details

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.

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