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Autodesk

Principal Software Development Engineer, Unstructured Data

Reposted 8 Days Ago
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In-Office or Remote
9 Locations
Senior level
In-Office or Remote
9 Locations
Senior level
As a Principal Software Engineer, you will develop scalable distributed systems for processing unstructured data, build machine learning features, and collaborate with a global team.
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Job Requisition ID #

25WD89838

Position Overview

As a Principal Software Engineer at Autodesk Research, you will work on new ML-powered product features that help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You will collaborate with a talented team of scientists, research engineers, and platform engineers to build and deploy scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of research and product.

You will report to: Manager, Autodesk Research, Generative AI.

Location: London or remote (within UK). We are a global team, located in the UK, Canada, the US. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.

Responsibilities

· Collaborate on engineering projects for product with a diverse, global team of researchers and engineers

· Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning

· Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning

· Conduct and analyse experiments on data to provide insights

· Produce data visualizations and summaries to communicate data characteristics to researchers and leadership

· Work with our legal and trust teams to ensure compliant and ethical use of data

· Develop data pipelines into secure remote environments respecting and demonstrating security best practices

· Integrate with orchestration and lineage systems

· Write testable code that is well documented and easy to understand

· Analyse errors and provide solutions to problems that arise

· Identify and own new opportunities for adopting best-practices and relevant technologies/systems/methadologies

Minimum Qualifications

· BSc or MSc in Computer Science, or equivalent industry experience

· 8+ years of experience with one or more programming languages, software version control, testing, and deployment pipelines

· You have experience in data modelling, architecture, and processing skills with varied unstructured data representations

· Processing unstructured data, such as 3D geometric data

· Large scale, data-intensive systems in production

· Distributed computing frameworks, such as Spark, Dask, Ray Data etc.

· Cloud platforms such as AWS, Azure, or GCP

· Docker

· Documenting code, architectures, and experiments

· Linux systems and bash terminals

Preferred Qualifications

o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc.

o Data transformation via SQL and DBT.

o Orchestration platforms such as Apache Airflow, Argo Workflows, etc.

o Data catalogs and metadata management tools

o Vector databases

o Relational and object databases

o Kubernetes

o computational geometry such as mesh or boundary representation data processing

o analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others

o Autodesk or similar products (CAD, CAE, CAM, etc.

· Familiarity with:

o Data lake architectures and processing unstructured data at scale

o Data provenance and lineage concepts

o Computational geometry

o The design, manufacturing, AEC, or media & entertainment industries

o Autodesk or similar products (CAD, CAE, CAM, etc.)

The Ideal Candidate

· You have initiative to provide solutions and to learn and develop new technologies

· You enjoy collaborating across global locations

· You are comfortable with:

o Working in newly forming ambiguous areas

o Building prototypes from scratch and writing maintainable code within existing codebases

o Building scalable and maintainable systems that will be relied on by others

o Owning and maintaining the systems that you develop

We realize that you will likely not have experience with all of the above skillsets. We are looking for individuals who have a growth mindset and a passion for learning.

#LI-JK3

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Top Skills

Apache Airflow
Apache Hive
Argo Workflows
AWS
Azure
Dask
Data Processing
Dbt
Distributed Systems
Docker
GCP
Iceberg
Kubernetes
Linux
Machine Learning
Matplotlib
Pandas
Plotly
Ray Data
Seaborn
Spark
SQL

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