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Entry Level Autonomous Systems Engineer Jobs in San Ramon, CA

Muon Space

Software Engineer, Entry-Level

San Jose, CA · On-site

$142K - $169K/yr

... Entry-level software engineers are expected to bring significant skills and training, and then to ... Experience with satellites, robots, or other autonomous systems * Previous experience on technical ...

Muon Space

Software Engineer, Entry-Level

San Jose, CA · On-site

$142K - $169K/yr

... Entry-level software engineers are expected to bring significant skills and training, and then to ... Experience with satellites, robots, or other autonomous systems * Previous experience on technical ...

Motional

Machine Learning Systems Engineer

San Francisco, CA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... Salary Range $144,000--$192,000 USD Motional is a driverless technology company making autonomous ...

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All JobsAutonomous Systems Engineer JobsEntry Level Autonomous Systems Engineer JobsEntry Level Autonomous Systems Engineer Jobs in San Ramon, CA

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 10, 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:

Entry Level Autonomous Systems Engineer jobs near you
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% As Needed, 81% Full Time, 14% 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.

Senior Software Engineer, Autonomous Pilot Integration (R5423)

San Mateo, CA • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$195K - $293K/yr

Full-time

Posted 22 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.
Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.
What you'll do:
  • System Integration & Deployment - Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
  • Pre-flight Preparation - Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
  • On-site Flight Test Support - Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
  • Hardware/Software Debugging - Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
  • Flight Data Capture & Analysis - Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
  • Collaboration Across Teams - Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
  • Continuous Improvement - Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
  • Support Certification and Compliance - Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.
  • Travel Requirement - Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:
  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Typically requires a minimum of 2 years of related experience with a Bachelor's degree; or completion of a Master's or PhD program with internship or equivalent practical experience preferred; or equivalent professional experience.
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
  • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
  • Hands-on experience supporting flight demos or live exercises.
  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
  • Ability to obtain a SECRET clearance.

Preferred Qualifications:
  • Direct experience supporting unmanned aerial systems or similar flight test campaigns.
  • Familiarity with autonomy stacks, flight control systems, or GNC pipelines.
  • Competence in sensor integration, electronics debugging, or avionics bring-up.
  • Proficiency in developing automation tools for system testing, logging, and data parsing.
  • Comfortable interfacing with DoD stakeholders during field events or technical reviews.
  • Experience with UCI and OMS Standards.

$195,840 - $293,760 a year
#LI-ED1
#LC
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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.

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