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Autopilot Engineer Jobs (NOW HIRING)

MBDA INC.

GNC Engineer

Huntsville, AL · On-site

Develop autopilot and control laws for dynamic systems * Perform target state estimation, filtering, and sensor fusion * Develop and maintain simulations and models to support system design and ...

TEKsystems

Intune Engineer

Oklahoma City, OK · Remote

$50 - $60/hr

The engineer will coordinate directly with incoming employees during scheduled migration calls, reset and enroll devices through Microsoft Autopilot, validate application functionality, and support ...

MBDA INC.

GNC Engineer

Huntsville, AL · On-site

Develop autopilot and control laws for dynamic systems * Perform target state estimation, filtering, and sensor fusion * Develop and maintain simulations and models to support system design and ...

MBDA INC.

GNC Engineer

Huntsville, AL · On-site

Develop autopilot and control laws for dynamic systems * Perform target state estimation, filtering, and sensor fusion * Develop and maintain simulations and models to support system design and ...

MBDA INC.

GNC Engineer

Huntsville, AL · On-site

Develop autopilot and control laws for dynamic systems * Perform target state estimation, filtering, and sensor fusion * Develop and maintain simulations and models to support system design and ...

Acuity, Inc.

Senior Desktop Engineer

Conyers, GA · On-site

Engineer, deploy, and support enterprise endpoints using Microsoft Intune (Configuration Profiles ... Design and operationalize Windows Autopilot for zero-touch provisioning, including device ...

Next Matter

Senior GNC Engineer

Rio Rancho, NM · On-site

$90 - $120/hr

Senior GNC Engineer We are seeking a Senior GNC Engineer to develop guidance, navigation, and ... Design and develop flight control and autopilot algorithms for high‑speed flight vehicles across ...

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All JobsAutopilot Engineer Jobs

Autopilot Engineer information

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$38K

$90.5K

$150.5K

How much do autopilot engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for autopilot engineer in the United States is $90,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is an autopilot engineer?

Autopilot Engineers are professionals who design, develop, test, and maintain autonomous systems for vehicles, such as cars, drones, or aircraft. They work on the software and hardware that enable a vehicle to navigate, detect obstacles, and make driving decisions without human intervention. Their work often involves programming, sensor integration, machine learning, and safety validation to ensure reliable and safe autonomous operation.

What is the difference between Autopilot Engineer vs Software Engineer?

AspectAutopilot EngineerSoftware Engineer
Required CredentialsBachelor's in Engineering, specialized in control systems or embedded systemsBachelor's in Computer Science or related field
Work EnvironmentAutomotive, aerospace, or robotics industries focusing on autonomous systemsVarious industries including tech, finance, healthcare, developing software applications
Employer & Industry UsageAutomotive manufacturers, aerospace companies, robotics firmsTech companies, startups, enterprise software firms
Common Search & ComparisonYesYes

Autopilot Engineers focus on developing and testing autonomous control systems for vehicles or robots, requiring expertise in control theory and embedded systems. Software Engineers develop a broad range of software applications across industries, emphasizing coding and software architecture. While both roles involve programming, Autopilot Engineers specialize in autonomous system integration, whereas Software Engineers work on diverse software solutions.

What are the key skills and qualifications needed to thrive as an autopilot engineer?

To thrive as an Autopilot Engineer, you need a solid background in computer science, robotics, or electrical engineering, often with experience in autonomous systems and a relevant degree. Proficiency in programming languages like C++ and Python, familiarity with machine learning frameworks, and experience using simulation tools such as ROS or MATLAB are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you excel in developing reliable autonomous systems. These skills ensure the design, testing, and deployment of safe and efficient autopilot technologies in real-world environments.

How does an autopilot engineer typically collaborate with cross-functional teams during the development of autonomous driving features?

Autopilot Engineers work closely with teams such as software developers, hardware engineers, data scientists, and product managers to design and implement autonomous driving systems. Collaboration often involves daily stand-ups, code reviews, and joint troubleshooting sessions to integrate sensor data, machine learning algorithms, and control systems. Effective communication and teamwork are critical, as the success of autopilot features depends on seamless integration of software and hardware components. This collaborative environment fosters innovation and helps ensure the delivery of safe, reliable autonomous driving solutions.
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What job categories do people searching Autopilot Engineer jobs look for? The top searched job categories for Autopilot Engineer jobs are:
Autopilot Engineer jobs near you
Infographic showing various Autopilot Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $90,538 per year, or $43.5 per hour.

Senior Software Engineer - Pipeline Infrastructure

Avride

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 11 days ago

Job description

About the team

Our team sits at the core of Avride's self-driving stack. We build and own the foundational pipeline framework responsible for executing autopilot code with a relentless focus on reliability, reproducibility, and determinism. These properties are non-negotiable: they underpin the offline quality evaluations and A/B testing infrastructure that drive how we measure and improve our autonomy technology.

About the role

We're looking for a senior engineer who wants to own critical infrastructure at the heart of a self-driving vehicle platform. You'll work closely with autonomy teams across Avride to deeply understand their needs, then design and deliver the pipeline systems they depend on. This isn't a role for someone who wants to execute a spec  it's for someone who wants to set technical direction, raise the bar on performance and safety, and leave a lasting mark on how Avride builds its self-driving stack.

What you'll do
  • Own the design and evolution of Avride's core pipeline framework  the system responsible for orchestrating autopilot components and managing interactions between them. You'll drive this from requirements through architecture to production.
  • Set the standard for performance and safety. Write high-performance C++ code and build the monitoring infrastructure to enforce it - ensuring the pipeline meets the stringent requirements of a real-world autonomous vehicle system.
  • Take long-term ownership of data compatibility and algorithm reproducibility  foundational properties that allow recorded data to reliably measure and improve autopilot quality over time.
  • Build developer tooling and observability systems that help autonomy engineers detect, understand, and resolve problems in their code faster.
  • Lead the design and automation of testing infrastructure for autopilot code defining practices adopted across teams and enforced in CI.
  • Advocate for simplicity and long-term maintainability. Write well-structured code, produce clear design documents, and help the team resist unnecessary complexity.
  • Act as a technical anchor for the team  mentoring engineers, leading code reviews, and driving alignment on architecture with stakeholders across autonomy disciplines.
What you'll need
  • 5+ years of professional software engineering experience with strong command of modern C++ (C++17/20) in production systems.
  • Demonstrated experience writing high-performance, low-latency, or safety-critical systems  you understand what it means for correctness and performance to be non-negotiable.
  • A track record of independently designing and shipping complex systems  including scoping the problem, evaluating trade-offs, and verifying outcomes after delivery.
  • Strong communication skills you can turn ambiguous requirements from technology teams into crisp designs, and explain technical decisions clearly in writing.
Nice to have
  • Python experience for scripting and non-time-critical tooling
  • Background in autonomous vehicles, robotics, or other safety-critical real-time systems.

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