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Autonomy Jobs in Texas (NOW HIRING)

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Autonomy information

See Texas salary details

$42.7K

$146.1K

$255.5K

How much do autonomy jobs pay per year?

As of Aug 6, 2026, the average yearly pay for autonomy in Texas is $146,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,212.00 and $188,638.00 per year, depending on experience, location, and employer.

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 Texas? For Autonomy jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Autonomy jobs in Texas look for? The top searched job categories for Autonomy jobs in Texas are:
What cities in Texas are hiring for Autonomy jobs? Cities in Texas with the most Autonomy job openings:
Autonomy jobs near you
Infographic showing various Autonomy job openings in Texas 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, with an average salary of $146,080 per year, or $70.2 per hour.

Software and Autonomy Engineering Lead

Wild West Systems Inc.

Leander, TX

Full-time

Posted 9 days ago

Job description

Position Overview

We are seeking a Software and Autonomy Engineering Lead to own technical direction for our full autonomy software stack from embedded firmware through perception and into higher autonomous targeting behaviors. This role leads the engineering team building computer vision, sensor fusion, targeting, and control systems that operate on constrained edge hardware in dynamic, contested environments.

You will set architecture and coding standards across firmware and software, mentor and grow the engineering team, and personally develop perception and autonomy systems from prototyping through field deployment.

Responsibilities

Technical Leadership
  • Set technical direction and architecture standards spanning firmware and autonomy software
  • Lead, mentor, and help grow a small team of firmware and software engineers
  • Own build vs. buy and make vs. partner decisions for perception and autonomy components
  • Partner with hardware and program management on system-level tradeoffs
Perception & Autonomy
  • Develop and deploy real-time object detection, classification, and tracking systems for small, fast-moving aerial and ground targets
  • Optimize models for edge deployment in constrained environments
  • Build multi-sensor perception pipelines that enable sensor fusion
  • Build robustness for real-world conditions
  • Integrate perception outputs into downstream tracking and effector control systems
  •  
Firmware & Systems Integration
  • Oversee firmware architecture for sensor drivers, real-time OS scheduling, and hardware controls
  • Ensure clean interfaces between firmware, perception, and targeting layers
  • Support field testing, integration, and troubleshooting across the full stack

Required Skills and Experience

  • Experience leading or mentoring a software/firmware engineering team
  • Experience with modern computer vision models and training/fine-tuning/deployment
  • Proven track record of edge model optimization
  • Experience with lead-angle calculation for computing aimpoint solutions from tracked target kinematics
  • Experience building human-in-the-loop control interfaces or state machines that facilitate automated tracking and operator authorization
  • Embedded/firmware experience: real-time OS, sensor drivers, and hardware management
  • Experience with real-time video pipelines and multi-sensor fusion
  • Experience with Hailo or similar edge AI accelerators
  • Python, C++ &/OR Rust skills

Preferred Skills and Experience

  • Experience in kill chain methodologies, edge perception and classification for specific target sets, and an understanding of the trade-offs for different sensing modalities and wavelengths
  • Experience with hardware control loop algorithms for tracking and targeting
  • Experience with multi-object tracking and target fusion and arbitration
  • Prior experience in defense, counter-UAS, or small-UAS autonomy systems
  • Experience developing and/or working in .cu files

Apply