1

Cruise Autonomous Systems Robotics Engineer Jobs

This is a hands-on engineering role focused on building production-grade robotics software and ... Requirements Required Skills & Experience * 8+ years of experience in robotics, autonomous systems ...

This is a hands-on engineering role focused on building production-grade robotics software and ... Requirements Required Skills & Experience * 8+ years of experience in robotics, autonomous systems ...

This is a hands-on engineering role focused on building production-grade robotics software and ... Requirements Required Skills & Experience * 8+ years of experience in robotics, autonomous systems ...

Position Overview We're looking for a hands-on, highly technical Robotics Application Engineer to ... Background in autonomous systems - robotics, drones, autonomous vehicles, industrial automation, or ...

Be Seen First

We are a deep-tech robotics company building industrial, fully autonomous systems designed to ... high-impact engineering problems · Generous compensation, including stock options, plus full ...

Be Seen First

We are a deep-tech robotics company building industrial, fully autonomous systems designed to ... high-impact engineering problems · Generous compensation, including stock options, plus full ...

Be Seen First

We are a deep-tech robotics company building industrial, fully autonomous systems designed to ... high-impact engineering problems · Generous compensation, including stock options, plus full ...

Robotics Engineer

New York, NY · On-site

$150K - $250K/yr

... autonomously in high-stakes defense manufacturing environments. Robotics Engineer Benefits ... systems in production environments. -- Expert-level mastery of SLAM, motion planning, and C ...

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... Autonomous Systems Integration Deploy autonomy algorithms across the full software stack-including ...

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... Autonomous Systems Integration Deploy autonomy algorithms across the full software stack-including ...

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... Autonomous Systems Integration Deploy autonomy algorithms across the full software stack-including ...

next page

Showing results 1-20

Cruise Autonomous Systems Robotics Engineer information

See salary details

$53.5K

$127.2K

$167K

How much do cruise autonomous systems robotics engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for cruise autonomous systems robotics engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between Cruise Autonomous Systems Robotics Engineer vs Cruise Autonomous Systems Software Engineer?

AspectCruise Autonomous Systems Robotics EngineerCruise Autonomous Systems Software Engineer
Primary FocusDesigning and developing robotic hardware and autonomous systems hardware integrationDeveloping software algorithms and code for autonomous vehicle functions
Required CredentialsDegree in Robotics, Mechanical, or Electrical Engineering; experience with robotics hardwareDegree in Computer Science or Software Engineering; proficiency in programming languages
Work EnvironmentLaboratories, hardware testing facilities, vehicle integration sitesSoftware development environments, simulation platforms, vehicle control centers
Industry UsageAutonomous vehicle hardware development, robotics integrationAutonomous vehicle software development, algorithm implementation

The Cruise Autonomous Systems Robotics Engineer primarily focuses on hardware and robotic system integration, while the Cruise Autonomous Systems Software Engineer concentrates on developing software algorithms for autonomous vehicles. Both roles are essential in autonomous vehicle development but differ in their technical focus and skill requirements.

Infographic showing various Cruise Autonomous Systems Robotics Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 4% Full Time, 93% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Embedded Systems & Robotics Engineer

Embedded Systems & Robotics Engineer

MAG Aerospace

Fairfax, VA

Full-time

Posted 8 days ago


Job description

MAG is staffing for an Embedded Systems & Robotics Engineer who will bridge the critical hardware-software boundary for autonomous tactical systems. You'll modify and enhance systems and solutions that operate independently in GPS-denied environments, from underwater vehicles to aerial swarms, while ensuring reliability in the harshest conditions.

US Citizens Only

Former US Defense Contractor / US Gov / US Military Experience Only  

This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested. 

We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in:

Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC


Primary Responsibilities

  • Enhance or augment embedded software for autonomous vehicles (UGV, UAV, UUV, USV) to extend baseline capabilities
  • Implement sensor fusion for autonomous navigation (LIDAR, cameras, IMU, sonar)
  • Design control systems for robotic platforms and actuators
  • Create hardware abstraction layers following MOSA/SOSA standards
  • Develop digital twin simulations for hardware-in-the-loop testing
  • Implement real-time operating systems (RTOS) and safety-critical software
  • Develop and verify safety-critical software in accordance with established standards and best practices
  • Design and fabricate custom hardware solutions using 3D printing and rapid prototyping
  • Apply Model-Based Systems Engineering (MBSE) practices using SysML/AADL
Secondary Responsibilities
  • Lead field testing and validation of autonomous systems
  • Support deployment and troubleshooting in operational environments
  • Create hardware test fixtures and validation procedures
  • Document MOSA compliance and interface specifications
  • Train operators on system capabilities and limitations

Experience:

Required Qualifications

  • 5+ years embedded systems and/or robotics development experience
  • Strong proficiency in C and C++ for real-time for resource-constrained systems
  • Expert proficiency and practical knowledge of Python for scripting, tooling, and rapid prototyping
  • Experience with ROS/ROS2 for robotics development
  • Hands-on experience with autonomous vehicle platforms
  • Proficiency with CAD tools and 3D printing/fabrication
  • Understanding of control theory and path planning algorithms
  • Experience with hardware communication protocols (CAN, I2C, SPI, UART)
  • Familiarity with MOSA/SOSA standards and open architectures
  • Experience with simulation tools (Gazebo, MATLAB/Simulink)
Preferred Qualifications
  • Experience with NVIDIA Jetson platforms for autonomous systems
  • Military/defense robotics experience (ROS-M, JAUS)
  • Hands-on experience with RTOS (e.g., FreeRTOS, VxWorks) and/or embedded Linux (Yocto, Buildroot)
  • Knowledge of digital twin technologies and real-time simulation
  • Familiarity with DO-178C, DO-254, or similar safety standards
  • Experience with swarm robotics and distributed control
  • Understanding of SLAM and computer vision for navigation
  • Experience with environmental testing (MIL-STD-810)
  • Pilot's license or experience with FAA Part 107 operations

Education:

  • Bachelor's degree in EE, CE, ME, CS or related field

Clearance:

  • Must be eligible for Secret security clearance
  • US Citizenship required

What Makes You Successful Here
  • You can go from CAD design to functioning prototype in days
  • You understand autonomy from sensors to behavior planning
  • You apply systems engineering rigor to rapid prototyping
  • You're comfortable with both lab development and field operations
  • You see MOSA as an enabler, not a constraint