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Autonomy information

What are common challenges faced by professionals working in autonomy?

Professionals in the autonomy field often encounter challenges related to integrating complex hardware and software systems, ensuring safety and reliability, and keeping up with rapidly evolving technology. Collaborating across multidisciplinary teams—such as robotics, AI, and systems engineering—is essential to address these challenges effectively. Additionally, testing autonomous solutions in real-world environments to handle unpredictable scenarios is a critical part of the role, requiring strong problem-solving skills and adaptability.

What skills and qualifications are needed to thrive as an autonomous systems engineer?

To thrive as an Autonomous Systems Engineer, you need a solid background in robotics, computer science, and control systems, typically supported by a relevant engineering degree. Proficiency with programming languages (such as Python or C++), simulation tools (like ROS or Gazebo), and experience with AI or machine learning frameworks are commonly required. Strong problem-solving abilities, creativity, and effective teamwork set top performers apart in this role. These skills are crucial for designing, developing, and improving autonomous technologies that function reliably in complex, real-world environments.

What is the difference between Autonomy vs Project Manager?

AspectAutonomyProject Manager
Required credentialsTypically none; skills in decision-making and independenceProject management certifications (PMP, CAPM), relevant experience
Work environmentIndependent, self-directed roles, often in consulting or freelance workTeam-based, coordinating projects within organizations
Employer and industry usageUsed across various industries for roles emphasizing independenceCommon in construction, IT, marketing, and corporate sectors

Autonomy refers to the degree of independence in decision-making and work execution, often in roles that require self-direction. Project Managers focus on planning, executing, and closing projects within organizations, often working within structured teams. While Autonomy emphasizes independence, Project Managers operate within defined project scopes and organizational frameworks.

What is an autonomy engineer?

Autonomy engineers are professionals who design, develop, and maintain autonomous systems, such as self-driving vehicles, drones, or robotics. Their work focuses on enabling machines to perform tasks without constant human intervention by integrating sensors, control algorithms, and artificial intelligence. Autonomy engineers often collaborate with software developers, hardware engineers, and data scientists to ensure the safe and efficient operation of autonomous technologies. Their expertise is crucial in industries like automotive, aerospace, and robotics, where automation and intelligent systems are rapidly advancing.
What are popular job titles related to Autonomy jobs in Utah? For Autonomy jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Autonomy jobs in Utah look for? The top searched job categories for Autonomy jobs in Utah are:
Autonomy jobs near you
Infographic showing various Autonomy job openings in Utah as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

Embedded Software Engineer - IV - Project Based

Autonomous Solutions

Mendon, UT • On-site

$114K - $150K/yr

Full-time

Re-posted 4 days ago

Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Whether its construction, solar, agriculture, or something new, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

This position is a W2 contract employee role with ASI for a defined project period, offering the stability of W2 employment along with access to benefits while you support our autonomous technology programs. As a contract employee, you'll work in a fast-moving, collaborative environment alongside engineers and product teams to help advance practical robotics solutions in the field.

As an Embedded Software Engineer IV, you will lead feature development and systems integration for embedded software operating on autonomous robotic vehicles. You bring 5-7 years of embedded C/C++ experience to complex vehicle control, actuator, and sensor challenges, working independently across the full development lifecycle from requirements through fielded support. Your depth in real-time systems and clean code practice raises the quality bar for the team around you.

Responsibilities

  • Lead feature development for embedded applications on autonomous robotic vehicle platforms.

  • Diagnose and resolve complex defects across vehicle control, actuator, and perception sensor systems.

  • Drive systems engineering participation to ensure robust software integration across hardware and software stacks.

  • Write clean, reusable C and C++ code following SOLID principles and established design patterns.

  • Build and maintain unit, integration, and system simulation tests with a test-first approach.

  • Contribute to continuous refactoring and maintain disciplined use of distributed version control.

  • Support fielded systems and lead collaboration with engineering teams on integration challenges.

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field.

  • 8+ years designing and implementing embedded real-time software systems using C/C++.

  • Strong familiarity with large multithreaded embedded applications running on an RTOS.

  • Familiarity with electrical and mechanical systems.

  • Experience with communication protocols such as CAN, TCP, UDP, SPI, or RS232.

  • Experience with ROS/ROS2 or sensor interfacing including GPS, LiDAR, RADAR, or ultrasonics.

  • Experience with Agile development, device drivers, or flash programming tools a plus.

Physical Requirements

  • Ability to remain in a stationary position at a computer workstation for extended periods.

  • Ability to operate a computer and other office productivity equipment continuously.

  • Ability to communicate and exchange information in person, via phone, and through electronic means.

  • Ability to traverse office, lab, data center, and field environments as required.

At Autonomous Solutions Inc, we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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