Machine Design Engineer Jobs
Machine Design Engineer jobs are open across industrial manufacturing, aerospace, automotive, and medical device sectors, from entry-level to senior and principal roles, with specializations in CAD modeling, mechanism design, and tolerance analysis. See the openings below and apply to the ones that match your experience.
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Showing 5 of 78+ Machine Design Engineer jobs
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience with design verification.
- Experience with SystemVerilog.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 10 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.
- Experience with the full verification life cycle.
- Experience with three or more SoC projects/cycles.
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 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.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 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
- Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry-leading formal tools.
- Identify and write all types of coverage measures for stimulus and corner cases.
- Debug tests with design engineers to deliver functionally correct design blocks.
- Close coverage measures to identify verification holes and to show progress towards tape-out.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience with design verification.
- Experience with SystemVerilog.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 10 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.
- Experience with the full verification life cycle.
- Experience with three or more SoC projects/cycles.
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 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.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 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
- Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry-leading formal tools.
- Identify and write all types of coverage measures for stimulus and corner cases.
- Debug tests with design engineers to deliver functionally correct design blocks.
- Close coverage measures to identify verification holes and to show progress towards tape-out.
See All 78 Machine Design Engineer Jobs
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Find Machine Design Engineer JobsMachine Design Engineer Job Market
Who's Hiring
- Amazon Web Services10
- Applied Engineering4
- Valmont Industries4
- Apple3
- Google3
Top Industries Hiring
- Manufacturing
- Education
- Medical Devices
- Distribution & Wholesale
What Employers Look For
The qualifications that appear most often in machine design engineer jobs.
- Bachelor's degree in mechanical engineering or a closely related engineering discipline
- Proficiency in 3D CAD software such as SolidWorks, CREO, or Inventor
- Working knowledge of GD&T per ASME Y14.5 standards
- Experience with FEA tools such as ANSYS or SolidWorks Simulation
- Familiarity with manufacturing processes including machining, sheet metal, and injection molding
- Professional Engineer license or EIT certification preferred for senior-level roles
Tips for Your Machine Design Engineer Job Search
Tailor your resume to each sector
Aerospace employers expect GD&T proficiency and AS9100 familiarity, while medical device companies prioritize design controls and FDA documentation. Adjust your resume's skills section to match the regulatory and standards language in each posting you target.
Show your CAD work in a portfolio
Most machine design engineer roles require a portfolio of past assemblies, drawings, or mechanisms. Include annotated screenshots from SolidWorks, CREO, or Inventor showing your tolerancing decisions and design intent, not just finished renders.
Apply early to roles that fit
Migrate Mate lists machine design engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name specific tools
Job listings that name SolidWorks, ANSYS, or MATLAB are filtering for experience, not just familiarity. If you have hands-on hours in those tools, lead with specific project outcomes, not just the software name, in your application materials.
Prepare a design walkthrough for interviews
Many machine design engineer interviews include a whiteboard or take-home design challenge. Practice talking through material selection, load paths, and manufacturing constraints on a past project so you can respond fluently under time pressure.
Negotiate total compensation, not just base pay
Machine design roles often include patent bonuses, professional development budgets, and tool licenses as part of total compensation. Ask about these line items explicitly during the offer stage, since they vary significantly across employers and are rarely listed upfront.
Machine Design Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most machine design engineers?
The most active employers for machine design engineers right now are Amazon Web Services, Applied Engineering, and Valmont Industries, and the most openings are in California, Texas, and Michigan, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in sectors that require custom machinery, precision hardware, or regulated device development.
How many machine design engineer jobs are remote?
About 11% of machine design engineer openings are fully remote or hybrid as of November 2026, reflecting the hands-on nature of most design roles. Sub-disciplines with the highest remote share tend to be those focused on CAD-only or simulation work, such as mechanism modeling and FEA analysis, where physical access to lab equipment or prototypes is not required day-to-day.
How do you become a machine design engineer?
Start by completing a bachelor's degree in mechanical engineering, then build hands-on CAD skills through coursework, senior capstone projects, or internships. Develop fluency in GD&T, FEA, and at least one industry-standard modeling platform. Entry roles often come through co-ops or internships, so target companies with structured engineering programs early. EIT certification strengthens your candidacy for roles that may eventually require a PE license.
How do you get a machine design engineer job with little experience?
Build a portfolio of personal or academic projects that show real design decisions, not just completed assemblies. Capstone projects, robotics club work, or freelance prototyping all count. Focus your applications on companies that hire new graduates into rotation programs or have structured mentorship. Roles in smaller manufacturers are often more open to candidates who demonstrate mechanical intuition and CAD competence even without extensive industry experience.
What does the machine design engineer interview process look like?
Most processes include a recruiter screen, a technical phone or video interview, and an on-site or virtual loop with engineering leads. The technical round typically covers GD&T interpretation, material selection reasoning, and a design challenge or whiteboard exercise. Some employers add a take-home project involving a mechanism or assembly. Final rounds often include a presentation of past work and questions from cross-functional stakeholders such as manufacturing and quality.
Where can I find and apply to machine design engineer jobs?
You can find and apply to machine design engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience level, industry focus, and location preference, then apply directly to each one that fits.
See All 78 Machine Design Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Machine Design Engineer Jobs