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Embedding VC

Early-stage venture fund for Generative AI

Senior Mechanical Engineer

Full-Time
No salary listed
Senior
Master's, PhD
Milpitas, CA, USA
In PersonFive days per week in-office collaboration required.
Mechanical EngineeringDesign Engineering
H1B Sponsorship Available

About the job

Requirements
  • A Master's degree or PhD in Mechanical Engineering, Robotics, or a related field is required.
  • At least 5 years of experience in mechanical design, preferably in robotics or automation, is required.
  • Proficiency in computer-aided design software such as SolidWorks or AutoCAD is required.
  • Strong understanding of materials, manufacturing processes, and mechanical systems is required.
  • Experience with finite element analysis and other simulation tools is required.
  • A proven track record of leading projects from concept to production is required.
  • Excellent problem-solving, communication, and collaboration skills are required.
Responsibilities
  • Design and develop mechanical systems for artificial-intelligence robots.
  • Collaborate with cross-functional teams to integrate mechanical, electrical, and software components.
  • Conduct feasibility studies and simulations to evaluate designs.
  • Create engineering drawings, specifications, and documentation for manufacturing.
  • Work closely with vendors to design and develop various modules.
  • Perform prototype fabrication, testing, and validation to meet performance, reliability, and safety standards.
Desired Qualifications
  • Experience with robotics, mechatronics, or automation.
  • Familiarity with actuators, sensors, and control systems.
  • Experience with rapid prototyping techniques.
  • Knowledge of regulatory compliance and safety standards in robotics.

About the company

Embedding VC is an early-stage venture fund that backs Generative AI startups. It provides seed to early-stage capital and operational guidance, leveraging a team of current and former builders and operators who can help portfolio companies grow. The fund’s approach centers on working closely with founders and using hands-on experience to scale AI projects, including those aiming toward AGI, during a period described as a new computing super cycle driven by AI innovations. Unlike funds that rely mainly on financial leverage, Embedding VC differentiates itself through its deep operator network, practical support, and focus on and commitment to building capable, scalable AI businesses. The overall goal is to support ambitious AI founders to advance the development and deployment of AI technologies and capture value in the expanding AI ecosystem.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Menlo Park, California

Founded

2023

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Simplify's Take

What believers are saying

  • Embedding VC's July 2026 site update confirms active positioning in Menlo Park.
  • Roger Luo reports over forty startup investments, including three IPOs and nine exits.
  • The fund claims portfolio support wins, including AppViewX integration and Bessemer placements.

What critics are saying

  • Portfolio concentration in frontier AI ties returns to a crowded, winner-take-most market.
  • No recent public fundraising or new flagship exits reduces evidence of momentum.
  • Founder-led branding around Roger Luo creates key-person risk if he steps back.

What makes Embedding VC unique

  • Roger Luo markets Embedding VC as an operator-led Generative AI fund.
  • The firm targets pre-seed and seed AI founders, not broad venture.
  • It emphasizes hands-on startup building through its Founder-in-Residence program.

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Benefits

Health Insurance

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

6%

1 year growth

13%

2 year growth

0%
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