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Phd Cfd Computational Engineer Jobs (NOW HIRING)

We are a team of builders, engineers, and operators who believe nuclear energy should be fast to ... The Role At Valar Atomics, we are seeking a Computational Fluid Dynamics (CFD) Analyst to lead ...

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Phd Cfd Computational Engineer information

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How much do phd cfd computational engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for phd cfd computational engineer in the United States is $93,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What are some typical collaboration opportunities for a PhD CFD Computational Engineer within a multidisciplinary team?

As a PhD CFD Computational Engineer, you frequently collaborate with mechanical engineers, software developers, and experimental scientists to ensure simulation models accurately reflect real-world scenarios. You may work closely with design teams to optimize product performance based on CFD results, and with IT specialists to implement high-performance computing solutions. Effective communication and teamwork are vital, as your input often influences design choices, testing procedures, and project timelines.

What is the difference between Phd Cfd Computational Engineer vs Mechanical Engineer?

AspectPhd Cfd Computational EngineerMechanical Engineer
Required CredentialsPhD in Mechanical Engineering, Aerospace, or related field; CFD certificationsBachelor's or Master's in Mechanical Engineering; some roles may require certifications
Work EnvironmentResearch labs, simulation centers, aerospace or automotive industriesDesign offices, manufacturing plants, R&D departments
Industry UsageSpecialized CFD modeling, simulation, and analysis for fluid dynamics problemsDesign, analysis, and testing of mechanical systems, including fluid systems

The main difference is that Phd Cfd Computational Engineers focus on advanced fluid dynamics simulations and research, often requiring a PhD and specialized CFD expertise. Mechanical Engineers have a broader scope, including design and manufacturing, with less emphasis on specialized CFD work. Both roles are vital in industries like aerospace, automotive, and energy, but they differ in their focus and level of specialization.

What is a PhD CFD Computational Engineer?

A PhD CFD Computational Engineer is an expert who holds a doctoral degree and specializes in Computational Fluid Dynamics (CFD). They use advanced mathematics, physics, and computer simulations to analyze fluid flows and related physical phenomena. These engineers develop and apply CFD models to solve complex engineering problems in industries such as aerospace, automotive, and energy. Their work often involves research, code development, and optimization of fluid systems to improve performance and efficiency.

What are the key skills and qualifications needed to thrive as a PhD CFD Computational Engineer, and why are they important?

To thrive as a PhD CFD Computational Engineer, you need deep expertise in fluid dynamics, numerical methods, and advanced programming, typically backed by a doctoral degree in engineering or a related field. Familiarity with CFD software (such as ANSYS Fluent, OpenFOAM), high-performance computing environments, and coding languages like C++ or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable you to develop accurate simulations, interpret complex data, and collaborate effectively on multidisciplinary engineering projects.
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Staff Mechanical Engineer - Thermal Simulation & Analysis

Staff Mechanical Engineer - Thermal Simulation & Analysis

Apptronik

Austin, TX

Other

Re-posted 25 days ago


Job description

The Role
Apptronik is seeking a Staff Mechanical Engineer - Thermal Simulation & Analysis to lead the thermal architecture of our humanoid robot, Apollo. In a humanoid system, high-power
actuators, high-performance compute clusters, and dense battery packs are packed into tight, mobile volumes-creating one of the most challenging thermal environments in robotics.
As a Staff Engineer, you are the technical authority for the entire "thermal stack". You will move beyond simple steady-state analysis to model complex, transient thermal events during high-intensity robot maneuvers. You will influence the robot's physical architecture from the concept phase, ensuring that we maximize performance and duty cycle without compromising safety or hardware longevity.

Key Responsibilities
Thermal Architecture Leadership: Own the thermal roadmap for the humanoid platform. Define the cooling strategies (passive, active, or phase-change) for high-torque actuators and high-density compute enclosures.
High-Fidelity Simulation: Develop complex CFD (Computational Fluid Dynamics) and heat transfer models using industry-standard tools (e.g., Ansys Icepak/Fluent, Simscale, or).
Transient Duty Cycle Modeling: Predict thermal behavior during dynamic robot activities (walking, lifting..) where power consumption varies rapidly, necessitating complex transient thermal-fluid analysis.
Multi-Physics Integration: Work closely with Structural Simulation engineers to perform Fluid-Structure Interaction (FSI) and thermal-stress analysis on critical components like motor housings and battery frames.
Test & Correlation: Design and lead physical thermal validation experiments. Utilize IR thermography, thermocouples, and flow sensors to correlate real-world data with your simulation models.
DfX & Manufacturing Support: Collaborate with the DfX team to select specialized materials (TIMs, heat spreaders, high-conductivity alloys) that balance thermal performance with weight and cost.
Mentorship: Act as the subject matter expert (SME) for thermal issues company-wide, mentoring junior engineers and establishing standardized thermal design rules.

Qualifications
Experience: 8+ years of experience in thermal design and simulation for high-performance electromechanical systems (Robotics, EV, Aerospace, or High-End Computing).
Simulation Mastery: Expert-level proficiency in CFD software and a deep understanding of conduction, convection (natural and forced), and radiation in complex assemblies.
Hardware Depth: Proven track record of designing and shipping hardware with challenging thermal constraints; experience with embedded compute thermal management or high-flux motor cooling is a significant plus.
Analytical Skills: Ability to perform "back-of-the-envelope" thermal calculations to guide design decisions before full CFD results are available.
Education: BS/MS in Mechanical Engineering (PhD preferred) with a focus on Heat Transfer or Fluid Dynamics.


PHYSICAL REQUIREMENTS
Prolonged periods of sitting at a desk and working on a computer
Must be able to lift 15 pounds at times
Vision to read printed materials and a computer screen
Hearing and speech to communicate