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Autonomous Systems Engineer Jobs (NOW HIRING)

ASUS

Autonomous Systems Engineer

Boston, MA · Hybrid

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking an Engineering Manager to lead our autonomous systems development team. This role combines technical leadership with hands-on engineering contributions ...

kgs

SME III Autonomous Systems Engineer

Arlington, VA · On-site

Koniag Management Solutions, LLC a Koniag Government Services company , is seeking a SME III Autonomous Systems Engineer with a TS/SCI security clearance to support KMS and our government customer at ...

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Autonomous Systems Engineer information

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How much do autonomous systems engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for autonomous systems 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 does an Autonomous Systems Engineer do?

An Autonomous Systems Engineer designs, develops, and optimizes self-governing systems that operate with minimal human intervention. This includes robotics, self-driving vehicles, drones, and AI-driven automation. They work with sensors, machine learning, control systems, and software to ensure reliable decision-making and adaptability in dynamic environments. Their role often involves testing, simulation, and integration of hardware and software components to improve system efficiency and safety.

What are the key skills and qualifications needed to thrive in the Autonomous Systems Engineer position, and why are they important?

To thrive as an Autonomous Systems Engineer, you need strong expertise in robotics, control systems, sensor integration, and proficiency in languages such as Python or C++, often supported by a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB/Simulink, and experience deploying algorithms on embedded hardware are typically required. Effective problem-solving, strong teamwork, and clear communication are standout soft skills in this field. These competencies are crucial for designing reliable autonomous solutions, troubleshooting complex issues, and collaborating across multidisciplinary teams for successful system deployment.

What are some common challenges faced by Autonomous Systems Engineers and how are they addressed?

Autonomous Systems Engineers often encounter challenges such as integrating diverse hardware and software components, achieving robust sensor fusion, and ensuring system reliability in unpredictable environments. Addressing these challenges typically involves rigorous simulation testing, iterative algorithm development, and close collaboration with cross-functional teams in software, hardware, and systems engineering. Engineers must also stay updated with advancements in machine learning and robotics to continually refine and enhance system capabilities. Employers support these efforts through ongoing training, collaborative problem-solving sessions, and investment in advanced prototyping resources.

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What cities are hiring for Autonomous Systems Engineer jobs? Cities with the most Autonomous Systems Engineer job openings:
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Autonomous Systems Engineer jobs near you
Infographic showing various Autonomous Systems Engineer job openings in the United States as of June 2026, with employment types broken down into 59% Full Time, 29% Part Time, and 12% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Autonomous Systems Engineer

Autonomous Systems Engineer

Tata Technologies

Frederick, MD • On-site

Other

Posted 2 days ago

Job description

At Tata Technologies we make product development dreams a reality by designing, engineering, and validating the products of tomorrow for the world’s leading manufacturers. Due to our continued growth, we are now recruiting for a Job Title to strengthen our team in Location.


Job Title: Autonomous Systems Engineer

Location: Frederick, MD

Duration: Full Time


Role Summary

We are seeking a highly skilled Tech Lead with deep expertise in autonomous systems algorithm development and high-performance C++ implementation to lead the design, development, and deployment of advanced autonomy solutions for autonomous platforms. This role is strongly implementation-driven, requiring hands-on experience in C++ for real-time, safety-critical systems, combined with strong foundations in mathematics, estimation theory, control systems, and optimization.

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Key Responsibilities:

  • Act as the technical authority for autonomy algorithm development in C++
  • Design and implement high-performance, real-time algorithms in C++ for perception, localization, sensor fusion, and control
  • Develop Kalman Filters, SLAM, and sensor fusion algorithms
  • Optimize algorithms for real-time embedded platforms
  • Drive motion planning algorithms (A*, RRT, optimization-based)
  • Perform algorithm validation using MIL, SIL, HIL
  • Define performance KPIs such as latency, accuracy, and robustness
  • Integrate algorithms into embedded and ROS-based systems
  • Mentor teams and conduct algorithm and code reviews


Mandatory Skills:

  • Strong foundation in linear algebra, probability, statistics, and optimization
  • Expertise in Kalman filtering, SLAM, and sensor fusion
  • Experience in real-time algorithm implementation (C++, Python)
  • Strong systems engineering and V&V experience


Core Skills – Autonomy Domain:

  • LiDAR perception and 3D mapping
  • Computer vision and deep learning
  • Sensor fusion (LiDAR, Camera, IMU, GNSS)
  • Path planning and control algorithms
  • ROS / ROS2 and simulation tools
  • Edge AI (NVIDIA Jetson platforms)


Qualifications

  • Bachelor’s or Master’s degree in Robotics, AI, or Engineering
  • 4+ years of experience in autonomous systems or robotics
  • Proven experience in deploying production-grade algorithms


Why Join Us

Opportunity to lead high-impact industrial engineering initiatives

Work in a dynamic, complex manufacturing environment

Drive measurable improvements without heavy capital investment

Be part of a culture focused on continuous improvement and innovation

Interested candidates, please apply or share your updated resume.


Equal Opportunity Statement

Tata Technologies Inc. is an Equal Opportunity/Affirmative Action employer. We provide equal employment opportunities to all qualified employees and applicants without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. We prohibit discrimination in decisions concerning recruitment, hiring, compensation, benefits, training, termination, promotions, or any other condition of employment or career development.

Tata Technologies: Engineering a better world.

Tata Technologies would like to thank all applicants for their interest. Each application will be reviewed against the criteria for the role; however, only candidates under consideration will be contacted. If you do not hear from us within 10 working days following the closing date, it means your application has not been successful. We will, however, retain your details for future suitable opportunities.

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