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Robotics New Grad Jobs in California (NOW HIRING)

Seasats

Senior Electronics Engineer

San Diego, CA · On-site

$150K - $200K/yr

... new grad or a 30 year industry vet, we expect an open-minded learning attitude from everyone at Seasats. About Seasats: At Seasats, we're passionate about delivering maritime robotics solutions to ...

Seasats

Senior Electronics Engineer

San Diego, CA · On-site

$150K - $200K/yr

... new grad or a 30 year industry vet, we expect an open-minded learning attitude from everyone at Seasats. About Seasats: At Seasats, we're passionate about delivering maritime robotics solutions to ...

Seasats

Senior Electronics Engineer

San Diego, CA · On-site

$150K - $200K/yr

... new grad or a 30 year industry vet, we expect an open-minded learning attitude from everyone at Seasats. About Seasats: At Seasats, we're passionate about delivering maritime robotics solutions to ...

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Showing results 21-40

All JobsRobotics New Grad JobsRobotics New Grad Jobs in California

Robotics New Grad information

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

AspectRobotics New GradRobotics Engineer
Required CredentialsBachelor's degree in robotics, mechanical, electrical, or computer engineeringBachelor's or master's degree; experience preferred
Work EnvironmentEntry-level, training-focused, collaborative teamsDesign, develop, test robotics systems; more independent responsibilities
Employer & Industry UsageInternships, entry-level roles in tech, manufacturing, researchMid-level to senior roles in robotics companies, R&D, automation

Robotics New Grad roles are entry-level positions suitable for recent graduates, focusing on learning and supporting robotics projects. Robotics Engineers are more experienced professionals responsible for designing and implementing robotics systems. The transition from a Robotics New Grad to a Robotics Engineer typically involves gaining hands-on experience and technical expertise.

What are popular job titles related to Robotics New Grad jobs in California? For Robotics New Grad jobs in California, the most frequently searched job titles are:
What job categories do people searching Robotics New Grad jobs in California look for? The top searched job categories for Robotics New Grad jobs in California are:
What cities in California are hiring for Robotics New Grad jobs? Cities in California with the most Robotics New Grad job openings:
Robotics New Grad jobs near you
Infographic showing various Robotics New Grad job openings in California as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 75% Physical, and 25% Remote job distribution.

Senior Machine Learning Engineer, Simulation

PlusAI

Santa Clara, CA • On-site

$130K - $200K/yr

Full-time

Re-posted 29 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.
Responsibilities:
  • Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.
  • Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.
  • Integrate the data-driven models into simulation pipelines with seamless compatibility.
  • Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.
  • Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Required Skills:
  • MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
  • Extensive experience applying deep learning techniques to time series forecasting and data analysis.
  • Proficient in Python with experience working in large codebases.
  • Excellent communication skills and the ability to collaborate effectively in a team setting.
  • Familiarity with state-of-the-art deep learning models and their applications.
  • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Preferred Skills
  • Proficient in C++
  • Background in autonomous vehicle prediction, planning, and control
  • Strong understanding of conventional vehicle dynamics modeling
  • Experience with autonomous vehicle or robotics simulation and related concepts
 
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.