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Autonomous Systems Jobs in California (NOW HIRING)

Senior Autonomy Systems Engineer

Concord, CA

$114K - $156K/yr

Experience with autonomous system logic, Command & Control (C2) link reliability, and GCS integration for Group 3-5 UAS * Experience with digital flight control systems * Experience with aircraft ...

Senior Autonomy Systems Engineer

Concord, CA ยท On-site

$114K - $156K/yr

Experience with autonomous system logic, Command & Control (C2) link reliability, and GCS integration for Group 3-5 UAS * Experience with digital flight control systems * Experience with aircraft ...

Senior Autonomy Systems Engineer

Concord, CA

$114K - $156K/yr

Experience with autonomous system logic, Command & Control (C2) link reliability, and GCS integration for Group 3-5 UAS * Experience with digital flight control systems * Experience with aircraft ...

Showing results 21-40

Autonomous Systems information

See California salary details

$45.4K

$100.7K

$151K

How much do autonomous systems jobs pay per year?

As of Aug 25, 2026, the average yearly pay for autonomous systems in California is $100,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $123,400.00 per year, depending on experience, location, and employer.

What is an autonomous system?

An Autonomous Systems job involves designing, developing, and maintaining self-operating technologies, such as drones, self-driving cars, and robotic systems. Professionals in this field work on AI, machine learning, sensor fusion, and control systems to enable machines to make decisions and operate without human intervention. Roles may include software engineers, roboticists, and data scientists, often collaborating to improve system reliability and efficiency. These jobs are common in industries like defense, transportation, manufacturing, and healthcare.

What are the key skills and qualifications needed to thrive in an autonomous systems position?

To excel in an Autonomous Systems role, candidates typically need expertise in robotics, computer vision, control systems, and programming languages such as Python or C++, often supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms, and relevant certifications (e.g., in AI or machine learning) is highly valued. Strong problem-solving skills, adaptability, and effective teamwork enhance performance in this multidisciplinary environment. These abilities are essential for innovating, troubleshooting, and successfully deploying autonomous solutions in real-world settings.

What are some common challenges faced by professionals working in autonomous systems?

Professionals in Autonomous Systems often encounter challenges related to integrating complex hardware and software, ensuring system reliability in dynamic environments, and maintaining safety and compliance with industry standards. Debugging and testing autonomous solutions can be demanding due to unpredictable real-world variables and evolving technical requirements. Collaboration with cross-functional teams is crucial, as roles often involve coordinating with engineers, data scientists, and product managers. Successfully navigating these challenges helps drive innovation and ensures the successful deployment and operation of advanced autonomous technologies.

What career pathways exist in autonomous systems?

Career pathways in autonomous systems include roles such as autonomous systems engineer, robotics engineer, software developer, sensor integration specialist, and systems analyst. These positions often require skills in programming, control systems, machine learning, and experience with tools like ROS or MATLAB. Opportunities exist in industries like automotive, aerospace, defense, and research institutions.

What do autonomous systems engineers do?

Autonomous systems engineers design, develop, and test systems that enable machines or vehicles to operate independently, such as self-driving cars or drones. They work with robotics, sensors, control algorithms, and software integration, often using programming languages like C++ or Python and tools such as simulation environments. Their role involves ensuring safety, reliability, and efficiency of autonomous operations through rigorous testing and system optimization.

What job categories do people searching Autonomous Systems jobs in California look for?

The top searched job categories for Autonomous Systems jobs in California are:

Infographic showing various Autonomous Systems job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $100,730 per year, or $48.4 per hour.

Solution Architect - Autonomous Systems & Industrial Base (ComS058)

Defense Unicorns

San Francisco, CA โ€ข On-site

$74.25 - $97.75/hr

Full-time

Posted 5 days ago


Job description

Solutions Architect - Autonomous Systems & Industrial BaseRole Overview

Defense Unicorns is seeking a Solutions Architect to work with autonomous systems manufacturers, Federal Systems Integrators, and commercial technology companies looking to deliver capabilities into the Federal defense market.

This role sits at the intersection of customer mission needs, complex hardware platforms, and modern cloud-native software. The Solutions Architect will facilitate technical and strategic conversations with customers and partners to understand their systems, identify integration opportunities, and define how cloud-native software, data transport technologies, and modern software deployment patterns can be incorporated into drones, satellites, weapons systems, and other mission-critical platforms.

The ideal candidate can move comfortably between executive-level conversations, system architecture discussions, and hands-on technical discovery. They should be able to translate mission and business requirements into practical architectures that account for constrained, disconnected, intermittent, and bandwidth-limited environments.

Key Responsibilities
  • Facilitate technical discovery and architecture conversations with autonomous drone manufacturers, Federal Systems Integrators, defense technology companies, and mid-sized commercial companies pursuing federal opportunities.
  • Work closely with customers to understand their platforms, mission requirements, existing software architecture, data flows, deployment models, and operational constraints.
  • Identify where cloud-native technologies can improve the development, deployment, management, and sustainment of software running across drones, satellites, weapons systems, edge devices, and supporting infrastructure.
  • Design and communicate architectures for deploying and operating cloud-native applications in distributed, edge, disconnected, and resource-constrained environments.
  • Help customers understand how data transport, synchronization, messaging, and software distribution technologies can support information movement between tactical edge systems, platforms, and enterprise environments.
  • Map Defense Unicorns capabilities and broader cloud-native technologies to customer use cases and system architectures.
  • Partner with engineering, product, sales, and business development teams to translate customer requirements into technical solutions and product opportunities.
  • Develop reference architectures, technical diagrams, integration approaches, demonstrations, and proofs of concept that illustrate how modern software can be incorporated into existing and next-generation platforms.
  • Support Federal Systems Integrators and technology partners in incorporating Defense Unicorns solutions into larger federal programs and platform architectures.
  • Help commercial technology companies understand the technical, architectural, and operational considerations associated with deploying their products into federal and defense environments.
  • Serve as a trusted technical advisor to customers throughout the evaluation, integration, and adoption process.
  • Capture recurring customer requirements and market signals to help inform Defense Unicorns product and technical strategy.
What Success Looks Like

A successful Solutions Architect in this role will be able to walk into a conversation with a drone manufacturer, satellite company, weapons-system developer, systems integrator, or commercial software company and quickly understand how their system operates, where software and data move through the architecture, and where modern cloud-native approaches can create meaningful operational value.

They will help customers move from broad questions such as "How do we bring cloud-native software onto this platform?" to a concrete architecture for how applications are packaged, transported, deployed, updated, secured, and operated across the system.

Desired Experience
  • Experience designing or supporting distributed, cloud-native, edge, or mission-critical software systems.
  • An understanding of Kubernetes, containers, software supply chains, application deployment, and modern DevSecOps practices.
  • Familiarity with data transport, messaging, networking, synchronization, and distributed-system architectures.
  • Ability to reason about systems operating in disconnected, intermittent, limited-bandwidth, or resource-constrained environments.
  • Experience working with defense, aerospace, autonomous systems, robotics, satellites, weapons systems, or other complex cyber-physical platforms is highly desirable.
  • Experience working with Federal Systems Integrators, Department of Defense organizations, or companies selling technology into the federal government is preferred.
  • Strong technical communication skills with the ability to explain complex architecture concepts to engineers, program leaders, executives, and government stakeholders.
  • Demonstrated ability to lead technical discovery, whiteboarding sessions, architecture reviews, and customer workshops.
  • Comfortable operating in ambiguous environments where the problem is not fully defined and the architecture must be developed collaboratively with the customer.
Ideal Background

This role may be a strong fit for someone who has previously worked as a Solutions Architect, Systems Architect, Platform Engineer, Cloud Architect, Field Engineer, Sales Engineer, or Technical Product Leader supporting defense, aerospace, autonomous systems, or highly distributed computing environments.

Role primarily based out of Los Angeles and San Francisco Areas.ย