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Principal Software Engineer - Python

Open 10d

Summary

Principal Software Engineer builds AI-driven code generation and transpilation tools for embedded systems using Python, Generative AI, and formal verification, leading architecture and deployment.

1 week ago Be among the first 25 applicants

This range is provided by Strativ Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Principal Software Engineer

We are currently partnered with a hypergrowth startup who build AI that revolutionizes the process of Edge Development. They are seeking an experienced software engineer to spearhead the development of cutting-edge AI-driven code generation & transpilation tools. This role focuses on bridging the gap between algorithm design and deployment on embedded systems by leveraging Generative AI, Static Analysis, and Formal Verification techniques.

As a Principal Engineer, you will design and implement sophisticated code generation pipelines, integrating state-of-the-art AI models with software verification methodologies. Your work will involve architecting scalable workflows, orchestrating distributed systems, and optimizing performance for real-world applications.

Key Responsibilities:

  • Design and implement AI-driven code translation pipelines, integrating state machines, message queues, and distributed processing.
  • Develop scalable, well-structured software for robust and extensible code generation solutions.
  • Deploy and manage containerized applications using Docker.
  • Collaborate with domain experts to incorporate formal verification and static analysis into the pipeline.
  • Ensure system reliability by leveraging cloud-based distributed architectures.

Required Skills & Experience:

  • 7+ years of professional experience in Python-based enterprise software development.
  • Proven ability to design and implement large-scale software systems from concept to deployment.
  • Strong background in software best practices, including testing, CI/CD, and release management.
  • Hands-on experience with AI/ML tools and frameworks.
  • Expertise in building scalable APIs (REST, GraphQL, gRPC).
  • Proficiency in Docker and containerized application development.

Preferred Qualifications:

  • Experience with distributed processing, state machines, and message queues (e.g., RabbitMQ, Kafka, Redis, Celery).
  • Familiarity with workflow automation tools like PromptFlow.

This is an opportunity to work at the forefront of AI-powered software development, contributing to groundbreaking technology that transforms how code is generated and deployed. You will be leading key projects and will report directly to the SVP Engineering & Product.

Please apply ASAP for more info.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    Data Infrastructure and Analytics and Software Development

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