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Entry Level Alias Digital Modeler Jobs (NOW HIRING)

millenniumsoft

NC · On-site

Digital Engineering Level of Experience : Entry - Level Employment Type : Contract on W2 (Need US ... The 3D Model Finisher is an essential part of client Digital Engineering (DE) 3D Printing ...

Impact Networking

Digital Service Technician

Appleton, WI · On-site

$45K - $60K/yr

... Entry Level Technicians, HVAC Technicians, Robotics Technicians, Printer Technicians, Imaging ... Leaders are expected to model them; teams are expected to live them: * Innovation : We embrace ...

Collabera

Entry Level Engineer

Princeton, NJ · On-site

As a half a billion dollar IT company, Collabera's client-centric business model, commitment to ... digital is desired. Electrical/Software Discipline: Candidate must have knowledge of electronic ...

Aptiv

Concept Vehicle and Demo Technician

Troy, MI · On-site

... Alias * 1+ years Understanding of surfacing workflows such as Class A surfacing, NURBS modeling ... Strong problem solving skills, both hands-on and in digital environments * Ability to interpret ...

Aptiv PLC

Concept Vehicle and Demo Technician

Troy, MI · On-site

... Alias * 1+ years Understanding of surfacing workflows such as Class A surfacing, NURBS modeling ... Strong problem solving skills, both hands-on and in digital environments * Ability to interpret ...

Gambyt

Software Engineer - Entry Level

Ann Arbor, MI · Remote

Through our agile software development practice, we create digital products such as games, loyalty ... We have rebuilt our company around a distributed remote-work engagement model. To help strengthen ...

Gambyt

Software Engineer - Entry Level

Ann Arbor, MI · Remote

Through our agile software development practice, we create digital products such as games, loyalty ... We have rebuilt our company around a distributed remote-work engagement model. To help strengthen ...

Gambyt

Software Engineer - Entry Level

Ann Arbor, MI · On-site

Through our agile software development practice, we create digital products such as games, loyalty ... We have rebuilt our company around a distributed remote-work engagement model. To help strengthen ...

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Entry Level Alias Digital Modeler information

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How much do entry level alias digital modeler jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for entry level alias digital modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are Entry Level Alias Digital Modelers?

Entry Level Alias Digital Modelers are professionals who use Autodesk Alias software to create digital 3D models, primarily for use in automotive, product, and industrial design. They work closely with designers and engineers to translate sketches and concepts into detailed computer-generated surfaces and shapes. At the entry level, they focus on building fundamental modeling skills, learning industry standards, and supporting more experienced modelers on larger projects. Their work is crucial in visualizing and refining product designs before physical prototypes are made.

What is the difference between Entry Level Alias Digital Modeler vs Entry Level 3D Modeler?

AspectEntry Level Alias Digital ModelerEntry Level 3D Modeler
CredentialsBasic knowledge of Alias software, relevant certificationsGeneral 3D modeling skills, portfolio, relevant certifications
Work EnvironmentAutomotive, product design, industrial design firmsGame development, animation, product visualization
Industry UsagePrimarily in automotive and industrial design sectorsEntertainment, gaming, advertising, product design

Entry Level Alias Digital Modeler specializes in using Alias software for automotive and industrial design, focusing on surface modeling. Entry Level 3D Modeler has a broader scope, working across various industries like gaming and animation with different 3D software. Both roles require foundational 3D skills, but Alias Digital Modeler emphasizes Alias expertise, while 3D Modeler may use multiple tools.

What are the key skills and qualifications needed to thrive as an Entry Level Alias Digital Modeler, and why are they important?

To thrive as an Entry Level Alias Digital Modeler, you need a solid understanding of 3D modeling principles, surface development, and a relevant degree or coursework in industrial or transportation design. Proficiency in Autodesk Alias software and familiarity with rendering tools like VRED or Maya are typically required. Strong attention to detail, effective communication, and a willingness to accept feedback help you collaborate with design and engineering teams. These skills ensure accurate digital models that support the design process and meet project specifications in a fast-paced automotive or industrial design environment.

What are some typical challenges faced by entry level Alias Digital Modelers when transitioning from training to working on real automotive projects?

Entry level Alias Digital Modelers often find the transition from classroom learning to real-world automotive projects challenging due to tight project deadlines and the high precision required for digital surface modeling. Adapting to feedback from senior modelers and designers, understanding complex design briefs, and collaborating with cross-functional teams such as engineers and clay modelers are common hurdles. Additionally, learning to balance creativity with manufacturability and adhering to strict automotive standards can be demanding but essential for professional growth.
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Entry Level Alias Digital Modeler jobs near you
Infographic showing various Entry Level Alias Digital Modeler job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 83% Full Time, 15% Part Time, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Hardware Architecture Modeling Engineer, PhD, University Graduate

Google

Sunnyvale, CA • On-site

Full-time

Posted 23 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

Minimum qualifications:
  • PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
  • Experience in any one domain of computer engineering or silicon engineering through internships, academic research, or publications (e.g., co-design, digital design, architecture).
  • Experience programming in C .

Preferred qualifications:
  • Research or internship experience in AI/ML hardware acceleration.
  • Experience with publications in peer-reviewed journals and conferences.
  • Ability to demonstrate significant understanding of relevant domains such as architecture, digital design, and performance.
  • Excellent problem-solving and communication skills, with the ability to work effectively in a team environment.

About the job
In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Hardware Architecture Modeling Engineer, you will work with hardware and software architects to model, analyze, and define next-generation Tensor Processing Units (TPUs).
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $138,000-$198,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Develop architectural and micro architectural models to enable quantitative analysis.
  • Conduct performance and power analyses and quantitatively evaluate proposals.
  • Contribute to Machine Learning workload characterization, benchmarking, and hardware-software co-design.
  • Collaborate with partners in hardware design, software, compiler, Machine Learning (ML) model and Research teams for hardware/software codesign.
  • Propose capabilities and next-generation TPUs and chip roadmap, and contribute to TPU chip specifications.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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