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- Tasks: Join a team to develop ML-powered features and scalable data pipelines.
- Company: Autodesk creates innovative software for design, manufacturing, and entertainment industries.
- Benefits: Enjoy hybrid work options, competitive salary, bonuses, and a comprehensive benefits package.
- Why this job: Make a real impact while collaborating with global experts in a supportive culture.
- Qualifications: BSc/MSc in Computer Science or equivalent, with 8+ years of relevant experience.
- Other info: Growth mindset and passion for learning are valued; diverse candidates encouraged to apply.
The predicted salary is between 48000 - 72000 £ per year.
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.
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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:
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
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Principal Software Development Engineer, Unstructured Data employer: Autodesk
Contact Detail:
Autodesk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Software Development Engineer, Unstructured Data
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and generative AI. Being able to discuss recent advancements or projects you've worked on in this area can set you apart during interviews.
✨Tip Number 2
Network with professionals in the field, especially those who work at Autodesk or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and the specific skills they value.
✨Tip Number 3
Prepare to discuss your experience with distributed computing frameworks and cloud platforms. Be ready to share specific examples of how you've implemented these technologies in past projects.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical challenges that may arise during the interview process. Practising coding problems related to data processing and unstructured data can be particularly beneficial.
We think you need these skills to ace Principal Software Development Engineer, Unstructured Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with unstructured data and distributed systems. Emphasise your skills in programming languages, cloud platforms, and any experience with machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your passion for solving problems and building scalable systems. Mention specific projects or experiences that align with Autodesk's focus on ML-powered product features and collaboration with diverse teams.
Showcase Relevant Projects: Include examples of past projects where you processed unstructured data or developed data pipelines. Highlight your role in these projects and the technologies you used, such as Spark or Docker, to demonstrate your hands-on experience.
Highlight Soft Skills: Autodesk values collaboration and initiative. Make sure to mention your ability to work in global teams, your comfort with ambiguity, and your eagerness to learn new technologies. This will show that you fit well within their culture.
How to prepare for a job interview at Autodesk
✨Showcase Your Problem-Solving Skills
As a Principal Software Development Engineer, you'll be expected to solve complex problems. Prepare examples from your past experiences where you successfully tackled challenges, particularly in data processing or distributed systems.
✨Demonstrate Collaboration Experience
Collaboration is key in this role. Be ready to discuss how you've worked with diverse teams, especially in global settings. Highlight any experience you have working alongside ML engineers or researchers.
✨Familiarise Yourself with Relevant Technologies
Make sure you're up to speed with the technologies mentioned in the job description, such as Spark, Docker, and cloud platforms like AWS or Azure. Being able to discuss these tools confidently will show your preparedness for the role.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, architecture, and processing unstructured data. Brush up on your knowledge of computational geometry and large-scale data systems to demonstrate your expertise.
