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New Grad Robotics Engineer Jobs in California (NOW HIRING)

... new experiences to Apple products. This position requires a self-motivated robotics engineer with strong technical and interpersonal skills to handle responsibilities including: - Designing and ...

Field Robotics Engineer

Oakland, CA · On-site

$90 - $110/hr

Planted is creating new technology to overhaul how the industry develops and builds solar power ... About The Role As a Field Robotics Engineer, you will be responsible for the reliability and uptime ...

About the Role Hermeus is seeking a hands‑on, highly motivated New Grad Manufacturing Engineer to ... Interest in automation, robotic welding, tooling, and manufacturing process improvement. Physical ...

New Grad Product Engineer About Titan: Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs ...

New Grad Product Engineer About Titan: Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs ...

About the Role Hermeus is seeking a hands‑on, highly motivated New Grad Manufacturing Engineer to ... Interest in automation, robotic welding, tooling, and manufacturing process improvement. Physical ...

Lab Robotics Engineer

San Francisco, CA · On-site

$175K - $235K/yr

About Plasmidsaurus Plasmidsaurus is on a mission to accelerate new cures and promote a healthier ... As a Lab Robotics Engineer at Plasmidsaurus, you will play a crucial role in automating and ...

With the launch of our new RNA‑seq service, we are taking a bold step toward our vision to ... As a Lab Robotics Engineer at Plasmidsaurus, you will play a crucial role in automating and ...

Showing results 41-60

New Grad Robotics Engineer information

What does a new grad robotics engineer do?

A New Grad Robotics Engineer typically supports the design, development, and testing of robotic systems and automation solutions. They work alongside experienced engineers to write code, integrate sensors and actuators, troubleshoot issues, and help improve the performance of robots. These engineers may also assist in prototyping, data analysis, and documentation. The role provides hands-on experience with robotics hardware and software, making it an important entry point for a career in automation and robotics.

What types of projects and responsibilities can a new grad robotics engineer expect in their first year?

As a new grad robotics engineer, you can expect to work on a variety of tasks such as assisting with the design, development, and testing of robotic systems or subsystems. Typical responsibilities may include writing and debugging code for robot control, collaborating with cross-functional teams like mechanical and electrical engineers, and participating in troubleshooting or integration activities. You may also be assigned to support ongoing research, help document technical processes, and contribute to continuous improvement initiatives. This hands-on experience helps build a strong foundation and often opens up future opportunities for specialization or advancement.

What are the key skills and qualifications needed to thrive as a new grad robotics engineer, and why are they important?

To thrive as a New Grad Robotics Engineer, you typically need a degree in robotics, mechanical engineering, computer science, or a related field, along with a solid understanding of control systems, kinematics, and programming languages such as Python or C++. Familiarity with robotics development platforms (like ROS), CAD software, and hands-on experience with sensors and actuators are highly valuable. Strong problem-solving abilities, teamwork, and effective communication skills help you adapt to complex projects and collaborate across disciplines. These competencies ensure you can design, build, and troubleshoot robotic systems efficiently in a fast-evolving technological environment.

What is the difference between New Grad Robotics Engineer vs Robotics Software Engineer?

AspectNew Grad Robotics EngineerRobotics Software Engineer
Required CredentialsBachelor's degree in robotics, mechanical, electrical engineering, or related fieldBachelor's or master's in computer science, robotics, or related field; programming skills essential
Work EnvironmentEntry-level, team-based projects in research labs or tech companiesDeveloping and maintaining robotics software in industry or research settings
Employer & Industry UsageStartups, research institutions, tech companies focusing on roboticsTech firms, industrial automation, autonomous vehicle companies

The main difference is that New Grad Robotics Engineers focus on gaining hands-on experience in robotics projects, often with a broader scope including hardware integration. Robotics Software Engineers primarily concentrate on developing and optimizing software solutions for robotics systems, requiring strong programming skills. Both roles are entry-level but differ in their focus areas within the robotics industry.

What are popular job titles related to New Grad Robotics Engineer jobs in California?

For New Grad Robotics Engineer jobs in California, the most frequently searched job titles are:

What cities in California are hiring for New Grad Robotics Engineer jobs?

Cities in California with the most New Grad Robotics Engineer job openings:

Infographic showing various New Grad Robotics Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer (Robotics / Embodied AI)

Avatar Robotics

San Francisco, CA • On-site

Full-time

Re-posted 10 days ago


Job description


Overview
We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities.
What we do
Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous.
With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where billions of machines make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes.
At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone).
We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide.
What you'll do
  • Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots.
  • Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback).
  • Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems.
  • Deploy trained models to edge compute devices with real-time inference constraints.
  • Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack.
What you bring
  • 3+ years of hands-on ML experience, preferably in robotics, computer vision, or embodied AI.
  • Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models.
  • Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems.
  • Proficiency with computer vision techniques (object detection, segmentation, point cloud processing).
  • Understanding of robotics fundamentals (kinematics, control theory, sensor fusion).
  • Strong Python skills and experience with ML libraries.
  • Bonus: Experience with Vision-Language-Action models, foundation models, or deploying models to edge devices.
Additional Notes
  • Our team develops on physical robots in person-expect hands-on testing and debugging
  • Need to be located or willing to relocate to San Francisco, CA
  • Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet

Come join us in building a new global economy, where anyone can do manual work remotely and with robo-scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth.