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Entry Level Autonomous Systems Engineer Jobs in San Ramon, CA

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

You will work closely with the autonomy system architects to synthesize the needs of the engineering, product, and safety teams to ensure our autonomous vehicles can operate safely and reliably in a ...

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

You will work closely with the autonomy system architects to synthesize the needs of the engineering, product, and safety teams to ensure our autonomous vehicles can operate safely and reliably in a ...

Vertex Sigma Software

Systems Engineer

Foster City, CA · On-site

You will work closely with the autonomy system architects to synthesize the needs of the engineering, product, and safety teams to ensure our autonomous vehicles can operate safely and reliably in a ...

Kodiak

Autonomy Systems Software Engineer

San Francisco, CA

$203K - $241K/yr

We are looking for an Autonomy Software Systems Engineer who can derive requirements from first ... critical autonomous behavior across both commercial and defense applications. An ideal candidate ...

WeRide.ai

Systems Engineer

San Jose, CA · On-site

$130K - $182K/yr

WRD) is a leading global commercial-stage company that develops autonomous driving technologies ... Conduct systems engineering analyses to accelerate system development and support business goals

WeRide.ai

Systems Engineer

San Jose, CA · On-site

$130K - $182K/yr

WRD) is a leading global commercial-stage company that develops autonomous driving technologies ... Conduct systems engineering analyses to accelerate system development and support business goals

WeRide.ai

Systems Engineer

San Jose, CA

$130K - $182K/yr

WRD) is a leading global commercial-stage company that develops autonomous driving technologies ... Conduct systems engineering analyses to accelerate system development and support business goals

AeroVect

Senior Planning Engineer (Autonomy)

San Francisco, CA · On-site

$123K - $169K/yr

We are looking for a Senior Planning Engineer who knows how to bring world class planner system design to autonomous driving systems in structured, low-speed environments. In this role, you'll own ...

Imagry

CO-143 Algo and Control Engineer

San Jose, CA · On-site

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

Imagry

CO-143 Algo and Control Engineer

San Jose, CA · On-site

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

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All 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 Jul 4, 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 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 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 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 job categories do people searching Entry Level Autonomous Systems Engineer jobs in San Ramon, CA look for? The top searched job categories for Entry Level Autonomous Systems Engineer jobs in San Ramon, CA 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

Software Engineer, Autonomous Systems

Humble Robotics

San Francisco, CA • On-site, Remote

Full-time

Posted 2 days ago

Job description

About Humble Robotics

Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network.

We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure.

Progress has never felt so present.

Position Overview

We're looking for a software engineer to help build the software systems that make our autonomous trucks drive. Your primary focus will be on software that runs on the vehicle, and you'll contribute across the stack—from sensors and inference to developer tooling and fleet-facing systems—working closely with teammates across robotics, ML, and controls. We also value engineers who are excited to jump into adjacent parts of the stack as needed, from firmware-facing integrations and developer tooling to cloud services and internal applications. This is a chance to support a production autonomy stack from day one, shipping code that runs on real trucks hauling real freight.

Key Responsibilities
  • Contribute to the design, implementation, and optimization of software across the autonomy stack, with an emphasis on real-time systems running on the vehicle
  • Help build and improve on-vehicle data logging and recording systems
  • Contribute to the hermetic build and cross-compilation pipeline, including packaging and deployment for on-vehicle compute platforms and adjacent system components
  • Instrument, profile, and improve system performance end-to-end—from IPC latency to compute throughput to disk I/O
  • Write tests and support CI improvements to ensure system reliability
  • Contribute to integrations across on-vehicle, cloud, and fleet-facing systems—remote data pipelines, over-the-air updates, and connectivity
  • Jump into adjacent engineering work as needed, from firmware-facing integrations and developer tooling to cloud services and internal web applications
  • Collaborate with ML and controls engineers to integrate their work into the real-time on-vehicle stack
Minimum Qualifications
  • BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience
  • Strong proficiency in Rust or C++ with experience shipping low-latency, concurrent software on Linux
  • Familiarity with real-time scheduling, inter-process communication, synchronization primitives, and debugging latency-sensitive concurrent systems
  • Experience contributing to Linux systems software, hardware-adjacent infrastructure, sensor / compute platform bring-up, or similarly close-to-hardware systems
  • Eligible to work in the United States
Preferred Qualifications
  • Experience contributing to software for autonomous vehicles, mobile robots, or other safety-critical systems
  • Hands-on work with sensor integration
  • Experience with GPU-accelerated compute or productionizing AI models (quantization, optimization, deployment)
  • Experience with low-latency IPC, shared-memory transport, or high-throughput pub-sub systems
  • Familiarity with cloud infrastructure, networking, or vehicle-to-cloud data pipelines
  • Experience with Bazel or other hermetic build systems
  • Experience with cross-compilation, packaging, or deployment for Linux-based systems
  • Comfort working as a software generalist across systems boundaries, from on-vehicle software to cloud services and internal tools
  • Comfort working on a small team with high ownership, low ego, and fast iteration
Compensation

This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.

Additional Information

As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact legal@humblerobotics.ai to exercise this right or if you have further questions on the use of AI tools in our hiring process.

Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.

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.