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Entry Level Autonomous Systems Engineer Jobs in San Ramon, CA

Description Senior Motion Planning & Control Engineer Imagry • San Jose, CA • On-Site Join ... Design and implement advanced guidance and control algorithms for autonomous driving systems

Senior Motion Planning & Control Engineer Imagry · San Jose, CA · On-Site Join Imagry at the ... Design and implement advanced guidance and control algorithms for autonomous driving systems

Develop, integrate, and validate autonomy features (software + tests) for real-world autonomous vehicle operation. * Own system-level debugging: diagnose issues across sensors, compute, networking ...

Showing results 21-40

Entry Level Autonomous Systems Engineer information

See San Ramon, CA salary details

$59.8K

$142.2K

$186.6K

How much do entry level autonomous systems engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level autonomous systems engineer in San Ramon, CA is $142,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $175,400.00 per year, depending on experience, location, and employer.

What is an entry level autonomous systems engineer?

An Entry Level Autonomous Systems Engineer is a professional who designs, develops, tests, and implements technologies that enable machines or systems to operate independently with minimal human intervention. These engineers often work on robotics, self-driving vehicles, drones, or industrial automation. As entry-level professionals, they typically assist senior engineers in building algorithms, integrating sensors, and troubleshooting hardware or software issues. They use skills in programming, systems engineering, and data analysis to help create and improve autonomous systems. This role is ideal for recent graduates or those with limited experience looking to start a career in robotics and automation.

What types of projects and technologies do entry level autonomous systems engineers typically work on, and how is their work structured within a team?

As an Entry Level Autonomous Systems Engineer, you'll often contribute to projects involving robotics, self-driving vehicles, or drone technologies. Your daily work may include developing and testing algorithms for perception, localization, and control, often using tools like Python, ROS, and machine learning frameworks. You will typically collaborate closely with senior engineers, software developers, and hardware teams through agile sprints, code reviews, and regular team meetings. The environment is highly collaborative and problem-solving oriented, offering abundant opportunities to learn from experienced colleagues and participate in multidisciplinary projects that can lead to rapid professional growth.

What are the key skills and qualifications needed to thrive as an entry level autonomous systems engineer, and why are they important?

To thrive as an Entry Level Autonomous Systems Engineer, you need a solid foundation in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB, and version control systems (e.g., Git) is typically required. Strong problem-solving skills, teamwork, and effective communication help you collaborate and innovate within multidisciplinary teams. These skills and qualities are crucial for building reliable autonomous systems and adapting to rapidly evolving technologies.

What is the difference between Entry Level Autonomous Systems Engineer vs Autonomous Vehicle Software Engineer?

AspectEntry Level Autonomous Systems EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or Electrical EngineeringBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, tech companies, automotive industryAutomotive companies, tech firms, startups focused on autonomous vehicles
Employer & Industry UsageDeveloping autonomous systems for various applicationsDesigning software specifically for autonomous vehicle navigation and control

While both roles involve working with autonomous systems, the Entry Level Autonomous Systems Engineer focuses broadly on developing autonomous technologies across industries, whereas the Autonomous Vehicle Software Engineer specializes in software development for self-driving cars. The former may work on sensors, algorithms, and system integration, while the latter concentrates on vehicle-specific software solutions.

What are popular job titles related to Entry Level Autonomous Systems Engineer jobs in San Ramon, CA?

For Entry Level Autonomous Systems Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What cities near San Ramon, CA are hiring for Entry Level Autonomous Systems Engineer jobs?

Cities near San Ramon, CA with the most Entry Level Autonomous Systems Engineer job openings:

Infographic showing various Entry Level Autonomous Systems Engineer job openings in San Ramon, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $142,165 per year, or $68.3 per hour.

CO-143 Algo and Control Engineer

San Jose, CA • On-site

Full-time

Re-posted 25 days ago


Job description

Description
Senior Motion Planning & Control Engineer Imagry • San Jose, CA • On-Site
Join Imagry at the forefront of autonomous driving. As a Senior Motion Planning & Control Engineer, you'll architect the algorithms that determine how our vehicles perceive, reason about, and navigate the real world - directly shaping the safety and intelligence of our autonomous systems.
What You'll Do
  • Design and implement advanced guidance and control algorithms for autonomous driving systems
  • Build, run, and analyze system-level tests to validate algorithm performance across complex, real-world scenarios
  • Optimize control algorithms for real-time execution on embedded platforms
  • Translate intricate traffic situations into safe, efficient vehicle behavior
  • Keep pace with the latest research in autonomous vehicle motion planning and control
  • Collaborate actively through technical discussions, code reviews, and team brainstorming

Requirements
  • A degree in Electrical, Mechanical, Aeronautical Engineering, or a related field, with a strong foundation in control theory
  • Deep, hands-on experience with motion planning and control algorithms for autonomous systems
  • Proficiency with complex electromechanical drive systems, dynamic systems, and control theory
  • Strong programming skills in C++, Python, or MATLAB

Bonus Points
  • Mathematical fluency in probabilistic reasoning, optimization, and linear algebra
  • Understanding of vehicle dynamics and experience with inertial navigation systems
  • Familiarity with real-time systems and optimization techniques
  • Knowledge of sensor fusion and localization algorithms
  • Experience with state estimation and filtering methods such as Kalman or particle filters

Requirements