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Thermal Ai Engineer Jobs (NOW HIRING)

NextHop AI

Thermal Engineer

Santa Clara, CA

... AI infrastructures. What You'll Do * Design and develop thermal solutions, including heatsinks ... A degree in Mechanical Engineering or a related field, with emphasis in heat transfer (B.S ...

NextHop AI

Thermal Engineer

Santa Clara, CA · On-site

... AI infrastructures. What You'll Do * Design and develop thermal solutions, including heatsinks ... A degree in Mechanical Engineering or a related field, with emphasis in heat transfer (B.S ...

Vinci AI

Thermal Engineer

Palo Alto, CA · On-site

$140K - $200K/yr

About Us We are building Physics AI for hardware design. Our product helps engineers explore ... In this role, you will build and simulate thermal models based on customer designs to validate ...

Kanak Elite Services Inc

AI Engineer

Santa Clara, CA · On-site

ROLE : GENDESIGN / INVERSE DESIGN AI ENGINEER LOCATION: SANTA CLARA, CA, 4 DAYS PER WEEK ONSITE ... thermal outcomes. * Implement inverse-design workflows where target performance specifications ...

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Thermal Ai Engineer information

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$43.5K

$104.5K

$167.5K

How much do thermal ai engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for thermal ai engineer in the United States is $104,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What is a Thermal AI Engineer?

A Thermal AI Engineer is a professional who combines expertise in thermal systems and artificial intelligence (AI) to design, analyze, and optimize temperature management solutions. They use AI algorithms to predict, monitor, and control heat generation and dissipation in various applications, such as electronics, automotive, and industrial systems. Their work often involves developing models for thermal behavior, integrating smart sensors, and improving energy efficiency through intelligent automation.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as Lead AI Engineer or AI Director, often in large tech companies or specialized industries. These positions usually require advanced skills in machine learning, deep learning, and experience with large-scale AI systems, along with leadership responsibilities and often involve significant project management and strategic planning.

What are the key skills and qualifications needed to thrive as a Thermal AI Engineer, and why are they important?

To thrive as a Thermal AI Engineer, you need expertise in thermal engineering, machine learning, and data analysis, usually supported by a degree in mechanical engineering, computer science, or a related field. Experience with simulation tools (such as ANSYS or COMSOL), programming languages like Python or MATLAB, and knowledge of relevant AI frameworks is typically required. Strong problem-solving skills, collaboration, and effective communication set top performers apart in this interdisciplinary role. These skills are crucial for developing innovative thermal management solutions that leverage AI, ensuring efficiency and accuracy in complex engineering projects.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries. Roles like AI engineers, data engineers, and engineering managers may also reach this level with seniority and expertise.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Executive-level engineering roles or those in leadership positions may also reach this compensation level, often including bonuses and stock options.

How does a Thermal AI Engineer typically collaborate with hardware and software teams during product development?

Thermal AI Engineers work closely with both hardware and software teams to ensure that thermal management solutions are effectively integrated into products. They often analyze data from physical prototypes, collaborate with hardware engineers to optimize component placement for heat dissipation, and work with software teams to implement AI-driven thermal control algorithms. Regular cross-functional meetings and design reviews are common, allowing for seamless communication and iterative problem-solving. This collaborative environment helps ensure that thermal constraints are addressed early, resulting in more reliable and efficient products.

What is the difference between Thermal Ai Engineer vs Data Scientist?

AspectThermal Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; knowledge of AI and thermal systemsBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming and analytics
Work EnvironmentEngineering labs, thermal testing facilities, AI development environmentsOffice settings, data analysis labs, cloud platforms
Industry UsageManufacturing, aerospace, automotive, thermal management systemsFinance, healthcare, marketing, technology sectors
Common Search/ComparisonYesYes

The main difference between a Thermal Ai Engineer and a Data Scientist lies in their focus areas. Thermal Ai Engineers specialize in applying AI techniques to thermal systems, working closely with engineering and thermal management. Data Scientists analyze large datasets across various industries to extract insights. While both roles require programming skills and a strong analytical background, their work environments and industry applications differ significantly.

Are thermal engineers in demand?

Thermal engineers are in demand across industries such as aerospace, automotive, and electronics, where thermal management is critical. The role often requires knowledge of heat transfer, thermodynamics, and simulation tools, and job growth is driven by advancements in technology and increasing focus on energy efficiency.
Infographic showing various Thermal Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $104,528 per year, or $50.3 per hour.

Thermal Engineer

NextHop AI

Santa Clara, CA

Full-time

Posted 21 days ago

Job description

Nexthop Systems Inc. is on the lookout for a passionate and innovative thermal engineer to spearhead the design and implementation of advanced thermal management systems. This role is critical in ensuring the efficient performance of high-power next-generation networking systems tailored for cutting-edge AI infrastructures.

What You'll Do

  • Design and develop thermal solutions, including heatsinks, cold plates, liquid cooling loops, and other innovative cooling systems.
  • Lead and execute thermal modeling and simulations using industry-standard tools to optimize performance.
  • Conduct thorough thermal testing and validation to ensure designs meet rigorous operational requirements.
  • Collaborate closely with cross-functional teams to integrate thermal designs seamlessly into broader system architectures.
  • Build and manage strong technical relationships with suppliers, ensuring high-quality thermal solutions.
  • Proactively troubleshoot and resolve thermal challenges to maintain system reliability.
  • Stay ahead of the curve by keeping up with emerging technologies, trends, and industry standards in thermal engineering.


What You Bring Technical Expertise

  • A degree in Mechanical Engineering or a related field, with emphasis in heat transfer (B.S. required, M.S. preferred).
  • 10+ years of experience in thermal design; 5+ years of experience designing thermal components and systems for data center network equipment, preferred.
  • Proficiency in thermal modeling tools such as Flotherm, Flotherm-XT, and/or IcePak.
  • Experience and deep working knowledge of data center air cooling technologies, practices, and strategies:
    • Vapor chambers, heat pipes, and other phase change devices
    • Various heat sink types and design parameters
    • High performance fans and their selection/operating parameters
    • Thermal interface materials and their selection/design parameters
    • Environmental requirements
    • Rack mounted ITE design constraints
  • Experience with designing liquid cooling components/loops desired, but not required.
  • Deep knowledge of heat transfer principles and their application in real-world scenarios.


Soft Skills

  • Strong problem-solving skills, with the ability to tackle complex thermal challenges.
  • Excellent collaboration and communication skills, to work effectively with diverse teams and suppliers.
  • A proactive mindset with a passion for staying current on advancements in thermal technologies and AI infrastructure needs.


Why Join Nexthop Systems?

At Nexthop, you'll work at the forefront of innovation, designing thermal solutions that empower the AI systems driving tomorrow's breakthroughs. Your contributions will directly impact how AI and networking systems perform, ensuring they meet the demands of a rapidly evolving industry.


**Are you ready to take the lead in thermal engineering for next-generation AI infrastructure?** Apply now and shape the future with us!



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