Software Engineer, 3d/Data

Posted 2 Hours Ago
Be an Early Applicant
Remote
3-5 Years Experience
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Autodesk is a global leader in design and make technology that helps innovators everywhere solve today's challenges.
The Role
As a Software Engineer at Autodesk Research, you will work with a global team to build new ML-powered product features, collaborate on engineering projects, develop scalable data pipelines, conduct data experiments, and ensure compliant data usage. Minimum qualifications include a BSc or MSc in Computer Science, strong data modeling skills, Python proficiency, experience with cloud services, databases, frameworks, and Linux systems.
Summary Generated by Built In

Job Requisition ID #

24WD81934

osition Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

As a Software Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers to build new ML-powered product features that will 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 have experience building 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 strong software engineering base. You are excited to collaborate with AI researchers to build state-of-the-art generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product.

Location: The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible 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 and deploy highly scalable distributed systems to process, filter, and deploy datasets for use with machine learning

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

  • Conduct and analyze 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 and deploy data pipelines into secure remote environments respecting and demonstrating security best practices

  • Writing robust, testable code that is well documented and easy to understand

  • Analyze errors and provide solutions to problems that arise

Minimum Qualifications

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

  • Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry

  • Python (and associated libraries e.g. numpy)

  • 3D/Geometry mathematics

  • Experience with cloud services & architectures (AWS, Azure, etc.)

  • Excellent written communication skills to document code, architectures, and experiments

  • Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)

  • Experience with frameworks such as Ray data, Metaflow, Hadoop, Spark, or Hive

  • Experience with software version control, unit tests, and deployment pipelines

  • Experience with vector data stores

  • Proficiency with Linux systems and bash terminals

  • Knowledge of cloud architectures and networking

Preferred Qualifications

  • Experience with computational geometry such as mesh or boundary representation data processing

  • Experience with CAD model search and retrieval, in PLM systems or other searchable CAD databases

  • Knowledge of statistics

  • Ability to analyze data and communicate results effectively using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others

  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries

  • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

The Ideal Candidate

  • A self-starter with initiative to search for solutions and execute on problems with minimal supervision

  • Comfortable building prototypes from scratch as well as writing maintainable code within existing codebases

  • A curious, creative problem-solver who is excited to learn & develop new technologies

  • A fast learner & excellent communicator who can effectively collaborate across global locations

  • Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills

  • Takes a great satisfaction in building scalable and maintainable systems that will be relied on by others

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 – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future 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, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace 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

Python
The Company
HQ: San Francisco, CA
13,285 Employees
Hybrid Workplace
Year Founded: 1982

What We Do

Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk gives you the power to make anything.

Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D.

We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife.

We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.

Why Work With Us

Our work is impactful. Our people are innovative. And our culture is inclusive. As our software shapes new solutions to the world’s biggest challenges, you shape your career path. With us, you lead the way in achieving sustainability, resilient communities, and an equitable workforce. Discover #AutodeskLife. 

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