Senior Principal Engineer, AI/ML Platform

Autodesk

Quick summary

Work type: On-site
Location: San Francisco, CA
Salary: $165,000–$296,450 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k

This role $231k

$149k most similar roles pay here $312k

This role pays more than 57% of similar roles. Most pay $174,225–$246,150 — the shaded band above. At the midpoint, this role pays about $231k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Autodesk

Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.

Autodesk currently has 44 open roles on FindRole.

Listed pay typically runs $139,000–$249,260 across 42 roles with salary data.

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View all roles at Autodesk

At a glance

TL;DR · Senior Principal Engineer, AI/ML Platform

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Autodesk is seeking a Software Architect to lead its team of software and ML engineers in developing AMP, the next generation machine learning platform. This role involves providing technical leadership for scalable AI/ML solutions, collaborating with cross-functional teams to define and execute the platform roadmap, and guiding the design and architecture of reliable systems using agile methodology. The ideal candidate will have a strong background in AI/ML, experience with cloud platforms like AWS or Azure, and expertise in MLOps principles, CI/CD practices, and containerization technologies such as Docker and Kubernetes. They should also be skilled in deep learning, statistical modeling, and neural networks, and possess the ability to inspire and mentor team members while aligning technical objectives with business goals.

Skills

AWS Azure Google Cloud Platform Kubernetes Docker MLOps CI/CD Scrum Python PostgreSQL Terraform SageMaker Bedrock Machine Learning Deep Learning Statistical Modeling Neural Networks API Ecosystems Guardrails Context Management

What you'll do

Lead the strategy for development and deployment of AI/ML solutions.
Design and architect scalable, reliable, and efficient AI/ML systems.
Drive execution of platform strategy using agile methodology and best practices.
Provide technical guidance on critical technology decisions for AI/ML projects.
Mentor team members and foster a high-performance culture in engineering.

What we're looking for

12+ years of software engineering experience with at least 3 years as a technical lead or Software Architect.
Proven track record in leading and mentoring software and ML engineering teams.
Experience designing, building, and running scalable AI/ML systems on cloud platforms like AWS, Azure, or Google Cloud Platform.
Expertise in CI/CD practices for machine learning lifecycle management and MLOps principles.
Strong background in AI/ML including deep learning, statistical modeling, and neural networks.
Understanding of complex agentic AI architectures and API ecosystems.

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