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Flexion Jobs (NOW HIRING)

Flexion, Inc.

Full Stack Engineer - REMOTE

Madison, WI · On-site +1

$120K - $150K/yr

At Flexion (an agile software company that's been delivering excellence for over 25 years), our company culture is built on autonomy, trust, and transparency. We empower teams to remain self ...

Flexion, Inc.

Analytics Engineer

Madison, WI · On-site +1

Flexion is looking for an Analytics Engineer for an enterprise-level application development project to help modernize data infrastructure and transform reporting and discover insights for one of the ...

WORK INCORPORATED

DRIVER

Dorchester, MA · On-site

$17/hr

Full shoulder flexion, extension, abduction, and rotation. * Full elbow flexion, extension, supination and pronation. * Full wrist flexion, extension, radial and ulnar deviation. * Normal upper ...

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How much do flexion jobs pay per year?

As of Jun 7, 2026, the average yearly pay for flexion in the United States is $92,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $100,500.00 per year, depending on experience, location, and employer.

What is the difference between Flexion vs Mechanical Engineer?

AspectFlexionMechanical Engineer
Required CredentialsTypically requires a certification in Flexion programming or related softwareBachelor's degree in Mechanical Engineering or related field, possibly a Professional Engineer (PE) license
Work EnvironmentPrimarily software development, design, and testing environmentsManufacturing plants, design offices, R&D labs
Industry UsageUsed in software development, automation, and control systemsManufacturing, automotive, aerospace, product design
Common Search/ComparisonFlexion vs Mechanical Engineer

Flexion is a specialized role focused on software and automation systems, often requiring programming certifications. Mechanical Engineers design and develop physical systems and machinery, requiring engineering degrees and licenses. While both roles may collaborate in manufacturing or automation projects, their core skills and work environments differ significantly.

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Flexion jobs near you

AI Research Scientist - United States

Flexion Robotics

San Francisco, CA • On-site

Full-time

Medical, Vision, Retirement

Posted 16 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 robotics researchers in the country, 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 the first wave of US research scientists at Flexion, set the agenda together, own the 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.
Key Responsibilities:
  • Drive original research in learning-based robotics - from concept to hardware deployment
  • Own your research direction: define problems, design experiments, and iterate fast
  • Collaborate directly with Flexion's Zurich research team across Manipulation, Motion Generation, and Perception
  • Contribute to a shared culture of scientific rigour, velocity, and impact

Requirements
  1. PhD in Robotics, Machine Learning, or a closely related field - completed or near completion
  2. Proven track record of deploying learning-based controllers on real robotic hardware
  3. Expert-level knowledge in:
    • Reinforcement learning
    • Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)
    • Python and PyTorch, including training large-scale neural networks
  4. Deep expertise in at least two areas 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
  • Comprehensive health and retirement plan benefits
  • 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