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Control Research Scientist Jobs in California (NOW HIRING)

Visa Research conducts Applied and FundamentalResearchandwas created to lead the company in pushing ... Software engineering skills, including coding, debugging, and version control (e.g., Git)

Without genuine understanding, we can't reliably monitor, control, or even reason clearly about ... We are also hiring for a Senior Research Scientist position. Who We're Looking For We're looking ...

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... Experience with version control (e.g., Git) Additional Information Benefits: * Our careers benefits ...

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... Experience with version control (e.g., Git) Additional Information Benefits: * Our careers benefits ...

As a Research Scientist in World Models, you will develop algorithms and productionize the next ... LLM / VLM / VLA methods for scene understanding, reasoning, and control. * Generative scenario ...

As a Research Scientist in World Models, you will develop algorithms and productionize the next ... control. • Generative scenario modeling and controllable simulation. • Model distillation ...

As a Research Scientist in World Models, you will develop algorithms and productionize the next ... LLM / VLM / VLA methods for scene understanding, reasoning, and control. Generative scenario ...

Showing results 21-40

Control Research Scientist information

What is a control research scientist?

Control research scientists are experts who study, design, and develop control systems to manage the behavior of dynamic systems in fields like engineering, robotics, and automation. Their work involves creating mathematical models, algorithms, and technologies that help systems operate efficiently and respond to changing conditions. They often collaborate with engineers and other scientists to solve complex problems and improve performance in applications such as manufacturing, aerospace, and automotive systems.

What are the key skills and qualifications needed to thrive as a control research scientist?

To thrive as a Control Research Scientist, you need a solid background in control theory, applied mathematics, and engineering, often supported by a Ph.D. in electrical, mechanical, or aerospace engineering. Familiarity with simulation software such as MATLAB/Simulink, programming languages like Python or C++, and experience with modeling and data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication are important soft skills in this role. These competencies are essential for designing advanced control systems, conducting impactful research, and effectively sharing findings with both technical and non-technical stakeholders.

What are some common collaboration dynamics for a control research scientist within multidisciplinary teams?

Control Research Scientists often work closely with professionals from various fields, such as electrical engineering, mechanical engineering, and data science. Collaboration typically involves jointly developing algorithms, integrating control systems into prototypes, and troubleshooting experimental results. Strong communication skills are essential, as you’ll regularly present findings, discuss technical challenges, and coordinate with both research and implementation teams. This multidisciplinary environment fosters innovation but also requires adaptability to different working styles and technical languages.

What is the difference between Control Research Scientist vs Control Engineer?

AspectControl Research ScientistControl Engineer
Required CredentialsMaster's or PhD in Engineering, Control Systems, or related fieldsBachelor's or Master's in Electrical, Mechanical, or Control Engineering
Work EnvironmentResearch labs, academia, R&D departmentsIndustrial settings, manufacturing, automation projects
Employer & Industry UsageUniversities, research institutions, tech companiesManufacturers, aerospace, automotive, process industries

Control Research Scientists focus on developing new control algorithms and conducting advanced research, often in academic or R&D settings. Control Engineers apply existing control theories to design, implement, and optimize control systems in industrial environments. While both roles require strong knowledge of control systems, the Control Research Scientist emphasizes innovation and theoretical development, whereas the Control Engineer emphasizes practical application and system deployment.

What cities in California are hiring for Control Research Scientist jobs?

Cities in California with the most Control Research Scientist job openings:

Infographic showing various Control Research Scientist job openings in California as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI Research Scientist - United States

Flexion Robotics

San Francisco, CA • On-site

Full-time

Medical, Vision, Retirement

Re-posted 12 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