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Internship Flow Control Jobs (NOW HIRING)

TSMC

Facilities Mechanical Engineer

Phoenix, AZ

Responsibilities * Designing, building and operating a cleanroom, including air flow control ... internship experience is preferred * Experience with mechanical systems operations in the ...

Amca

Mechanical Design Engineer

El Segundo, CA · On-site

$100K - $130K/yr

... flow control devices (valves, regulators, solenoids) or mechanisms (actuators, switches, pistons ... internship experience qualifies) * Strong understanding of engineering first principles ...

TSMC

Facilities Mechanical Engineer

Phoenix, AZ · On-site

Responsibilities * Designing, building and operating a cleanroom, including air flow control ... internship experience is preferred * Experience with mechanical systems operations in the ...

Imh

Quality control and Assurance: Implementing and monitoring quality control procedures to ensure the ... OR - Completion of course work and internship requirements in a qualified MLS program and ...

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Internship Flow Control information

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$29

How much do internship flow control jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship flow control in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Flow Control vs Internship Quality Assurance?

AspectInternship Flow ControlInternship Quality Assurance
Primary FocusManaging and coordinating workflow processes during internshipsEnsuring quality standards and compliance in internship programs
Required SkillsProcess management, communication, organizational skillsAttention to detail, analytical skills, knowledge of quality standards
Work EnvironmentOperational settings, project teamsQuality departments, training teams
Industry UsageCommon in manufacturing, IT, and corporate sectors

Internship Flow Control focuses on managing the workflow and processes during internships, ensuring smooth operations. In contrast, Internship Quality Assurance emphasizes maintaining quality standards and compliance. Both roles support internship programs but differ in their core responsibilities and skill requirements.

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What are the most commonly searched types of Flow Control jobs? The most popular types of Flow Control jobs are:
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Internship Flow Control jobs near you
Infographic showing various Internship Flow Control job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Research Internship - United States

Flexion Robotics

San Francisco, CA • On-site

Full-time, Internship

Vision

Re-posted 29 days ago

Job description

About Flexion:
At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we've gone from our first line of code to deploying real humanoid capabilities.
Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco.
The Role:
If you are among the most capable and ambitious early-career robotics researchers, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you.
You will join Flexion's US research team as an intern, take on research problems that matter most, and deploy real solutions on real hardware. You will work directly with a world-class team across two continents on challenges that have no published answers yet. This internship is designed to give exceptional graduate researchers the opportunity to do their highest-impact work in a fast-moving industrial research environment, with a clear path to a full-time Research Scientist role following the internship.
Requirements
Must-haves:
  • Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output
  • Demonstrated experience deploying learning-based controllers on real robotic hardware, or strong research signal that you can do so quickly

Strong working knowledge in:
  • Reinforcement learning
  • Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)
  • Python and PyTorch, including training neural networks at scale

Knowledge in at least two of the following:
  • Diffusion models
  • Flow matching
  • Dexterous manipulation
  • Sim-to-real transfer and real-to-sim calibration
  • Whole-body control and loco-manipulation
  • Synthetic data generation for robot learning
  • Vision Language Model Fine-Tuning (SFT and RL-based)
  • Transformer-based 3D Scene Understanding

Benefits
  • Competitive compensation package
  • A front-row seat at one of the world's most ambitious robotics companies
  • An energetic, collaborative team with a relentless bias for action
  • The opportunity to build something no one has ever done in this field - alongside the world's leading researchers

Apply