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Remote Robotics Research Jobs in California (NOW HIRING)

Technical Support Engineer

San Francisco, CA · On-site +1

$100K - $160K/yr

Are you a self-driven problem solver passionate about advancing robotics technology? Join our team ... Remote work is not an option. * The position is available immediately. We may use artificial ...

Technical Support Engineer

San Francisco, CA · On-site +1

$100K - $160K/yr

Are you a self-driven problem solver passionate about advancing robotics technology? Join our team ... Remote work is not an option. * The position is available immediately. We may use artificial ...

Principal AI/ML Engineer

Sunnyvale, CA · On-site +1

$296K - $423K/yr

... research to production deployment on vehicles.This role requires someone who canset technical ... MS or PhD in Computer Science, Robotics, Machine Learning, orrelatedfield.

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... Experience architecting enterprise RPA (UiPath) platforms. * Knowledge of Intelligent Process ...

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... Experience architecting enterprise RPA (UiPath) platforms. * Knowledge of Intelligent Process ...

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Remote Robotics Research information

What are the key skills and qualifications needed to thrive as a Remote Robotics Researcher, and why are they important?

To thrive as a Remote Robotics Researcher, you need a strong background in robotics, computer science, and engineering, often supported by an advanced degree (Master's or PhD) in a related field. Familiarity with programming languages (such as Python or C++), robotics operating systems (like ROS), and simulation tools (e.g., Gazebo, MATLAB) is typically required. Exceptional problem-solving, independent research skills, and effective virtual communication help you excel in remote, collaborative environments. These competencies are crucial for advancing robotics innovation while efficiently contributing to distributed research teams.

What are some common challenges faced by professionals in remote robotics research, and how are they typically addressed?

One common challenge in remote robotics research is effective collaboration across distributed teams, especially when working in different time zones. Researchers often rely heavily on digital communication tools and version control systems to coordinate experiments, share results, and troubleshoot issues in real-time. Another challenge is accessing and managing physical robotics hardware remotely, which is often addressed by using simulation environments and remote access protocols. Successful professionals in this field develop strong communication skills, adaptability, and familiarity with remote testing platforms to overcome these hurdles.

What is remote robotics research?

Remote robotics research involves studying and developing robotic systems and technologies from a location that is not physically on-site, often using digital communication tools and remote access to hardware or simulations. Researchers in this field might design algorithms, run simulations, or control robots over the internet to test new ideas. This approach enables collaboration across different regions and can reduce costs associated with travel and physical infrastructure. It also allows researchers to work with advanced robotics platforms that may be located in specialized labs or facilities around the world.
What are the most commonly searched types of Robotics Research jobs in California? The most popular types of Robotics Research jobs in California are:
What are popular job titles related to Remote Robotics Research jobs in California? For Remote Robotics Research jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Research jobs in California look for? The top searched job categories for Remote Robotics Research jobs in California are:
What cities in California are hiring for Remote Robotics Research jobs? Cities in California with the most Remote Robotics Research job openings:

Intern, Application Engineering (AI2509)

SiMa Technologies

San Jose, CA • On-site, Remote

$44 - $46/hr

Full-time, Internship

Posted 25 days ago


Job description

Job Title: Intern, Application Engineering 
   
Job Location: San Jose, CA (Onsite or Hybrid or Remote, depending on the candidate's location)
    
Job ID: AI2509 
  
Internship Term: preferably starting in June 2026 through September 2026.  
   
Internship Stipend: The hourly pay rate range for this position is $44 - $46   
    
SiMa.ai™ is scaling Physical AI in Robotics, Automotive, Industrial, Aerospace and Defense, and Medical markets. We have created the industry's best purpose-built, software centric Physical AI HW/SW platform that leads the industry in Ease of use, performance, and power efficiency. SiMa.ai is led by technologists and business veterans backed by a set of top investors committed to helping customers bring ML on their platforms. SiMa.ai was founded in 2018, has raised $355M and is backed by Fidelity Management & Research Company, Maverick Capital, Point72, MSD Partners, VentureTech Alliance.  
 
We are looking for highly motivated graduate students or recent graduates who are passionate about AI, robotics, autonomous systems, and customer-facing engineering. This internship is designed as a pathway to a full-time Application Engineer/Solutions Engineer role upon successful completion.
 
Role Summary
 
As an Application Engineering Intern, you will work directly with customers developing robotic platforms, autonomous drones, and AI-powered edge applications on the SiMa Modalix platform. You will help bridge the gap between advanced AI technology and real-world deployment by assisting customers in integrating, optimizing, and scaling their solutions. This role combines software engineering, AI systems, robotics, and customer engagement, making it ideal for candidates who enjoy both technical problem-solving and working closely with users.
 
Key Responsibilities 
  • Collaborate with customers developing robotics, drone, and autonomous system applications.
  • Build and demonstrate reference solutions on the SiMa Modalix platform.
  • Assist customers with integrating AI models, agents, perception pipelines, and robotics frameworks.
  • Develop prototypes, sample applications, and technical demonstrations.
  • Troubleshoot deployment, performance, and integration challenges.
  • Partner with Product, Engineering, and Field teams to provide customer feedback and help shape product direction.
  • Create technical documentation, tutorials, and onboarding materials.
  • Support proof-of-concept (POC) activities and customer evaluations.
  • Explore and implement AI agent workflows for real-world robotics and automation use cases.
 
Required Qualifications 
  • Currently pursuing a Master’s degree in Computer Science, Electrical Engineering, or a related field, or a recent graduate (within the last two years).
  • Strong programming skills in Python and C++.
  • Experience developing software for robotics, autonomous systems, or AI applications.
  • Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, ONNX, or similar.
  • Understanding of AI agents, agentic workflows, LLM-based systems, or autonomous decision-making frameworks.
  • Strong debugging and problem-solving skills.
  • Excellent written and verbal communication skills.
 
Personal Attributes 
  • Positive, can-do attitude with a willingness to learn.
  • Strong team player who collaborates effectively across functions.
  • Curious, creative, and passionate about solving complex problems.
  • Self-driven, execution-focused, and highly accountable.
  • Results-oriented with strong communication and interpersonal skills.
 
Equal Employment Opportunity 
SiMa.ai is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.