Mill Logo

Mill

Product Design Engineering Intern, Summer 2026

Reposted 20 Days Ago
Hybrid
San Bruno, CA, USA
35-45 Hourly
Internship
Hybrid
San Bruno, CA, USA
35-45 Hourly
Internship
As a Product Design Engineering intern, you'll support design and testing of new products, develop prototypes, and work on CAD documentation.
The summary above was generated by AI

Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill’s residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial—the industry’s first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.

As a Product Design Engineering intern at Mill, you’ll be working with a tight-knit, fast-paced team on a novel consumer product. Your day-to-day will include hands-on work with hardware components and lab equipment as well as CAD design tools like NX. Since we’re a small team, your work and learning will span design, tooling, and testing as we push towards launch. This internship is for someone who wants to learn and be creatively challenged.

Responsibilities

  • Work closely with the Mill cross functional team on the design and validation of new products.
  • Develop prototypes and execute tests in order to drive design towards mass production maturity.
  • Support 3D CAD design and 2D documentation.
  • Support engineering build activities, partnering with suppliers and CMs to troubleshoot and resolve manufacturing quality issues.

Minimum Qualifications

  • BS, MS or PhD in Mechanical Engineering (obtained or in progress)
  • Working knowledge of manufacturing processes and material selection for the design and development of electro-mechanical systems.
  • Proficient in 3D CAD (prefer Nx).
  • Proficient in a variety of rapid prototyping methods.
  • Strong analytical and communication skills.

Preferred Qualifications

  • Experience with simulation tools (FEA and thermal) and statistical analysis methods.
  • Experience with designing for high volume manufacturing (DFM/DFA).
The estimated base hourly range for this position is $35 to $45, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor an employment visa for this role
 
HQ

Mill San Bruno, California, USA Office

1099 Sneath Lane, San Bruno, CA, United States, 94066

Similar Jobs

An Hour Ago
Hybrid
Menlo Park, CA, USA
75K-125K Annually
Senior level
75K-125K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Sell Comcast Internet, Video and Voice solutions to small and mid-size businesses. Develop territory and partnerships, generate new leads, deliver face-to-face presentations, manage pipeline and quotas, promote bundled and advanced communications solutions (PRI, Hosted PBX), and coordinate with technical and support teams to ensure customer satisfaction and revenue growth.
Top Skills: Comcast Business InternetComcast Business VideoComcast Business VoiceHosted PbxPri
An Hour Ago
Hybrid
San Francisco, CA, USA
175K-215K Annually
Mid level
175K-215K Annually
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
Manage and automate security operations across SaaS and endpoints: deploy and tune PHI DLP, run AI-powered email security, configure MDR/EDR, harden Okta and Google Workspace, lead incident response, automate compliance evidence collection, maintain runbooks, and build automation and reporting to improve security posture.
Top Skills: AbnormalAi Email SecurityConfluenceDlpEap-TlsEdrGitGoGoogle WorkspaceHoxhuntJAMFJIRAKandjiKnowbe4Living SecurityLlmmacOSMaterialMdrMimecastOktaOkta Device TrustProofpointPythonScimSecurew2SlackSublimeTerraformTypescript
An Hour Ago
Remote or Hybrid
2 Locations
77K-214K Annually
Senior level
77K-214K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provide tax planning, compliance, and strategy advice to clients; prepare and file tax returns; analyze financial data; optimize tax positions; draft tax documents; mentor junior staff; build client relationships while upholding professional standards.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account