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Remote Autodesk Inventor Designer Jobs in Springfield, VA

Substation Physical Designer - Remote Location: Remote US Ready to make a difference? ICF is ... Inventor 3D, AutoCAD, Civil 3D, Bluebeam, and MicroStation What we would like you to have ...

Job Requisition ID # 26WD97993 Position Overview Autodesk's Enterprise Identity Services team is ... This role is remote-friendly within North America. For those who prefer in-office or hybrid work ...

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Remote Autodesk Inventor Designer information

See Springfield, VA salary details

$37.1K

$86.8K

$114.9K

How much do remote autodesk inventor designer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote autodesk inventor designer in Springfield, VA is $86,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $113,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Autodesk Inventor Designer vs Remote CAD Drafter?

AspectRemote Autodesk Inventor DesignerRemote CAD Drafter
Primary RoleCreates detailed 3D models and assemblies using Autodesk InventorPrepares technical drawings and 2D plans from CAD models
Skills & CertificationsProficiency in Autodesk Inventor, 3D modeling, CAD softwareExperience with CAD drafting, technical drawing standards
Work EnvironmentDesign studios, engineering firms, manufacturing companiesArchitectural, engineering, manufacturing firms
Industry UsageProduct design, mechanical engineering, manufacturingConstruction, architecture, engineering projects

While both roles involve CAD software, the Remote Autodesk Inventor Designer focuses on creating detailed 3D models and assemblies, whereas the Remote CAD Drafter specializes in producing technical 2D drawings from those models. The roles often overlap but serve different stages of the design process.

What are popular job titles related to Remote Autodesk Inventor Designer jobs in Springfield, VA? For Remote Autodesk Inventor Designer jobs in Springfield, VA, the most frequently searched job titles are:
Senior Machine Engineer, ML Systems and Infrastructure

Senior Machine Engineer, ML Systems and Infrastructure

Autodesk

Washington, DC • Remote

$118.40K - $162K/yr

Full-time

Posted 23 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 183 rated software companies


Job description

Job Requisition ID #

26WD98118

POSITION 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.

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation models and ML-powered product features.

This role is ideal for an engineer who is deeply interested in scalable systems and production-grade ML infrastructure. You will operate independently across multiple parts of the stack and help define strong engineering practices for reliability, performance, and maintainability.

This role is fully remote-friendly, with team members distributed across the US and Canada.

Location: US or Canada Remote, East Coast

RESPONSIBILITIES

  • Design and build scalable systems for ML training, evaluation, deployment, and monitoring

  • Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets

  • Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency

  • Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability

  • Contribute to model deployment, inference services, and production monitoring workflows

  • Improve data quality, lineage, provenance, and operational transparency across ML pipelines

  • Contribute to architecture and design discussions across the team

  • Identify and resolve bottlenecks in data, compute, orchestration, and observability layers

  • Mentor engineers through code reviews, design guidance, and knowledge sharing

  • Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines

  • Strong experience in software engineering, distributed systems, backend systems, or ML infrastructure

  • Strong proficiency in Python and experience delivering production-quality systems

  • Experience designing and operating scalable data or compute pipelines

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, CI/CD, observability, and release quality practices

  • Ability to independently drive technical execution on complex work with limited oversight

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Experience with data lineage, provenance, governance, and responsible data usage in ML systems

  • Experience with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Experience with model deployment, inference services, monitoring, and observability for production ML systems

  • Experience building ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience with distributed ML frameworks such as PyTorch, Lightning, DeepSpeed, FSDP, Megatron, or similar

  • Familiarity with AEC workflows, design data, BIM/CAD formats, or Autodesk products

THE IDEAL CANDIDATE

  • Thinks like a systems engineer and executes like a strong software developer

  • Can balance short-term delivery with long-term platform health

  • Brings strong technical judgment and ownership

  • Improves team effectiveness through mentoring and engineering rigor

  • Enjoys solving scaling, performance, and reliability challenges

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982