ZipRecruiter

Log In

1

Robotics New Grad Jobs in California (NOW HIRING)

Aurelius Systems

Sr. ML Engineer, Perception

San Francisco, CA · On-site

$123K - $169K/yr

You'll partner directly with our CTO and the robotics software team, and own perception as a domain ... Your background is research only without deployment, you're a new grad (we'll have a junior role ...

next page

Showing results 1-20

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 June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Temporary. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Senior Machine Learning Engineer, Perception

Senior Machine Learning Engineer, Perception

PlusAI

Santa Clara, CA

$145K - $200K/yr

Full-time

Posted 19 days ago

Job description

We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird's Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.
Responsibilities:
  • Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.
  • Benchmark perception models using large-scale datasets and well-defined quantitative metrics.
  • Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.
  • Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.
  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills:
  • Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
  • Ph.D. new grad or Masters + 3 years industry experience
  • Proficiency in Python and experience building deep learning pipelines.
  • Strong expertise in PyTorch, TensorFlow, or JAX.
  • Proven experience with LiDAR-based 3D perception and BEV representation models
  • Deep understanding of multimodal sensor fusion architectures and techniques.
  • Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.
  • Solid foundation in computer vision, deep learning, and 3D geometry.
Preferred Skills:
  • Industry or academic experience in autonomous vehicle perception, robotics, or related areas.
  • Hands-on experience developing deep learning models in real-world or production environments.
  • Experience with distributed training, high-performance computing, or GPU acceleration.
$145,000 - $200,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
apply for this job

Apply