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Thermal Application Engineer

VinciVinci·Artificial Intelligence

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~7 min

Ashby

Posted

202 days

01

About the role

About Us

We are building an AI assistant for hardware design. Our product helps engineers explore, analyze, and optimize hardware systems, integrating cutting-edge AI with the realities of engineering design workflows.

Role Overview

We are seeking an Thermal Application Engineer who will work directly with customers to run and validate their test cases through our product. You’ll act as a bridge between our technology and our users, ensuring that customer needs are understood, test cases are well-executed, and results are actionable. Additionally, you will help customers with questions about how to use our software and also provide training on using new features.

You’ll collaborate closely with our customers, as well as our product and engineering teams to help customers evaluate and deploy AI-assisted workflows.

This position requires a strong thermal engineering foundation—you should be comfortable owning thermal analysis discussions with customers (heat transfer, CFD/FEA thermal simulation, cooling architecture, derating/reliability implications, etc.).

Responsibilities

  • Work directly with customers to run, debug, and validate thermal design test cases using our AI assistant.

  • Collaborate with customers’ engineers to interpret results, provide insights, and recommend workflows.

  • Document use cases, best practices, and lessons learned for internal and customer-facing knowledge bases.

  • Provide feedback to the product and engineering teams to improve features, accuracy, and user experience.

  • Support customer onboarding, training, and integration of the AI assistant into existing design processes.

Qualifications

Required:

  • Degree in Mechanical, Electrical, or Computer Engineering, or related technical discipline

  • 3+ years on thermal engineering experience in hardware product development or simulation workflows

  • Strong working knowledge of heat transfer, thermodynamics, and cooling strategies for electronics or physical systems.

  • Strong ability to communicate technical results clearly to both engineers and non-technical stakeholders.

  • Hands-on experience with engineering tools (CAD, simulation software, etc.).

Preferred:

  • Experience working in customer-facing roles (applications engineering, solutions engineering, field engineering, or technical consulting).

  • Strong problem-solving mindset and ability to quickly learn new tools and workflows.

Why Join Us

  • Be part of a team defining the future of AI in hardware design.

  • Work at the intersection of advanced AI, real-world engineering, and customer success.

  • Collaborate with world-class engineers and researchers in a fast-moving startup environment.

Skills & Tags

02

Aplyr's read

Vinci is a cutting-edge AI company attracting top talent in engineering and data systems to drive innovation across diverse industries.

Synthesized from recent postings & public sources

What's promising

  • Vinci leverages AI to enhance productivity and efficiency across multiple sectors.
  • The company is actively hiring for specialized engineering roles, indicating growth and innovation.
  • Vinci's focus on advanced technologies positions it as a leader in AI-driven solutions.

What to watch

  • High specialization in roles may limit opportunities for broader skill sets.
  • Rapid innovation could lead to high-pressure work environments.
  • Limited public information about company culture and employee satisfaction.

Why Vinci

  • Vinci's emphasis on thermal-mechanical engineering is rare in the AI industry.
  • The company integrates AI with complex engineering domains like CFD and thermal systems.
  • Vinci's recruitment for extreme-scale computing roles highlights its focus on cutting-edge technology.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About Vinci

Vinci is an AI-driven company focused on providing innovative solutions for various industries, leveraging advanced technologies to enhance productivity and efficiency.

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