ZipRecruiter

Log In

1

Autonomous Jobs in Massachusetts (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsAutonomous JobsAutonomous Jobs in Massachusetts

Autonomous information

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

To thrive as an Autonomous Vehicle Engineer, you need solid expertise in robotics, computer vision, machine learning, and a background in computer science or engineering. Familiarity with programming languages like Python and C++, as well as experience with ROS (Robot Operating System) and simulation tools, is typically required. Strong problem-solving skills, attention to detail, and effective teamwork set standout professionals apart. These abilities are crucial for developing safe, reliable autonomous systems that perform well in complex, real-world environments.

How does an autonomous systems engineer typically collaborate with cross-functional teams during a project?

Autonomous Systems Engineers work closely with software developers, hardware engineers, data scientists, and project managers to design, test, and deploy autonomous technologies. Collaboration often involves regular team meetings, sharing technical documentation, and joint problem-solving sessions to ensure seamless integration of system components. Engineers may also coordinate with testing teams to validate system performance and safety, making effective communication and teamwork essential skills in this role.

What is an autonomous job?

Autonomous jobs refer to roles or tasks that are performed independently, often with minimal supervision or direction. In the context of technology, autonomous jobs usually involve the use of artificial intelligence or robotics to carry out work without constant human intervention. These positions might include operating or overseeing autonomous vehicles, managing automated systems, or developing technologies that support automation. The goal is to improve efficiency, safety, and productivity by reducing the need for manual oversight. Careers in this field can span across industries such as transportation, manufacturing, logistics, and IT.
What are popular job titles related to Autonomous jobs in Massachusetts? For Autonomous jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Autonomous jobs in Massachusetts look for? The top searched job categories for Autonomous jobs in Massachusetts are:
What cities in Massachusetts are hiring for Autonomous jobs? Cities in Massachusetts with the most Autonomous job openings:
Autonomous jobs near you
Infographic showing various Autonomous job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Software Engineer, Autonomous Pilot Integration - Expeditionary (R5208)

Shield AI

Boston, MA

$163K - $244K/yr

Full-time

Posted 18 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. 

In this role, you'll develop new autonomy capabilities — including mission behaviors, platform-specific control (including VTOL transitions), multi-agent coordination, contingencies, and executive autonomy — and own major features from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live flight test. You'll partner closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, feature crews, and customer stakeholders to deliver mission-ready autonomy software and solve complex integration challenges. As a senior engineer, you'll provide technical leadership across major capabilities, mentor teammates, influence architecture and integration strategy, and help drive successful field deployments for both mature and emerging expeditionary platforms. 

This team has a strong fielded-operator culture — long-endurance ISR missions, customer-driven workflow iteration, and demanding live exercises across multiple U.S. and international services. It's a hands-on role for engineers who want to see their software operate on real aircraft and directly support operators in the field. 

What You'll Do:

Develop & Field Autonomy – Develop and integrate autonomy software for V-BAT and X-BAT, including mission behaviors, platform-specific control, payload and sensor integration (e.g., ViDAR, EO/IR), multi-agent coordination, contingencies, and executive autonomy. Own major features from software-in-the-loop through live flight testing. 

Aircraft Team Partnership – Collaborate closely with the Aircraft team to integrate autonomy capabilities, validate platform interfaces, coordinate hardware/software compatibility, and support release readiness. 

Collaboration Across Teams & Partners – Partner with the Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), feature crews, and customer stakeholders to deliver integrated mission capabilities. 

Technical Leadership – Own significant features or subsystems, drive technical execution, mentor teammates, and contribute to design reviews and integration planning. 

Pre-deployment Preparation – Build, configure, validate, and prepare mission-ready systems while ensuring software, hardware, and operator workflows are ready for deployment. 

On-site Test & Mission Support – Support flight tests, customer demonstrations, operator training, and deployment events through system bring-up, troubleshooting, and mission execution. 

Hardware/Software Debugging – Diagnose integration issues across autonomy software, payload computers, embedded systems, and platform interfaces using simulation and operational testing. 

Mission Data & Continuous Improvement – Analyze mission data, drive root-cause analysis, and build tools and processes that improve integration efficiency and mission reliability. 

C2 Interoperability & Standards – Implement and validate interfaces with GCS and command-and-control systems while supporting compliance with STANAG 4586, UCI, and OMS. 

Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. 

Required Qualifications:

  • BS/MS in Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or equivalent practical experience.  

  • 5+ years of relevant experience (or equivalent advanced degree experience).  

  • Strong C++ development experience in real-time or embedded systems.  

  • Experience with Linux-based development and embedded systems.  

  • Experience integrating complex software systems and troubleshooting across hardware/software boundaries.  

  • Experience supporting system integration, testing, or field events.  

  • Ability to obtain a SECRET clearance. 

Preferred Qualifications:

  • Experience with unmanned aircraft or autonomous systems.  

  • Experience with autonomy software, robotics, or vehicle control.  

  • Experience with payload or sensor integration.  

  • Python, Docker, CMake/Conan, or CI/CD experience.  

  • Experience with military test events or defense customers. 

#LI-ED1
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.