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Perception Engineer Jobs in Massachusetts (NOW HIRING)

In this role, you will contribute to implementing and integrating innovative perception solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational ...

In this role, you will contribute to implementing and integrating innovative perception solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational ...

Our multidisciplinary teams of engineers and scientists work in a collaborative environment that ... Draper's Perception and Embedded Machine Learning Group seeks an engineer to help develop ...

Senior Mechanical Engineer

Woburn, MA · On-site

$114K - $151K/yr

Work with cross-functional teams, including electrical, controls, software, and perception engineers, to ensure solutions are aligned and integrated with product goals. Requirements * BS in ...

Our multidisciplinary teams of engineers and scientists work in a collaborative environment that ... Draper's Perception and Embedded Machine Learning Group seeks an engineer to help develop ...

Senior Mechanical Engineer

Woburn, MA · On-site

$114K - $151K/yr

Work with cross-functional teams, including electrical, controls, software, and perception engineers, to ensure solutions are aligned and integrated with product goals. Requirements * BS in ...

Showing results 41-60

Perception Engineer information

See Massachusetts salary details

$14

$61

$88

How much do perception engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for perception engineer in Massachusetts is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $81.39 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a perception engineer?

As a Perception Engineer, your typical day involves designing, developing, and testing algorithms that help automated systems interpret sensor data from sources such as cameras, lidar, and radar. You’ll spend time collaborating with cross-functional teams, including hardware engineers and software developers, to integrate perception solutions into larger systems like autonomous vehicles or robotics platforms. Regular tasks include data collection and annotation, debugging, performance optimization, and participating in code reviews. This role often requires a balance of independent problem-solving and teamwork to ensure reliable and accurate perception capabilities in ever-changing environments.

What is a perception engineer?

A Perception Engineer develops and optimizes computer vision and sensor-based systems to help machines interpret and understand their surroundings. This role involves working with data from cameras, LiDAR, radar, and other sensors to create models for object detection, tracking, and scene understanding. Perception Engineers commonly work in fields like robotics, autonomous vehicles, and augmented reality, utilizing machine learning and signal processing techniques. Their goal is to enhance a system’s ability to perceive and react to its environment accurately and efficiently.

What are the key skills and qualifications needed to thrive in the perception engineer position, and why are they important?

To thrive as a Perception Engineer, you need a strong background in computer vision, sensor fusion, machine learning, and robotics, usually supported by a degree in electrical engineering, computer science, or a related field. Experience with programming languages like Python or C++, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with tools like ROS and OpenCV are commonly required. Analytical thinking, problem-solving, and effective communication are valuable soft skills that set top candidates apart. These skills are crucial for developing and optimizing perception systems that enable machines to understand and interact with complex real-world environments.

What are the most commonly searched types of Perception Engineer jobs in Massachusetts? The most popular types of Perception Engineer jobs in Massachusetts are:
What are popular job titles related to Perception Engineer jobs in Massachusetts? For Perception Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Perception Engineer jobs in Massachusetts look for? The top searched job categories for Perception Engineer jobs in Massachusetts are:
Infographic showing various Perception Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,192 per year, or $61.1 per hour.

Senior Manager, Perception (R3634)

Shield AI

Boston, MA

$229K - $343K/yr

Full-time

Re-posted 14 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. 

Job Description:
As a member of the HMS Perception team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning, and machine perception. You will develop cutting-edge technology onto real hardware that provides robust and accurate estimates of vehicle pose and surroundings for real missions. Shield AI is pushing the envelope by applying advanced AI solutions to real hardware systems. An ideal candidate should aspire to be a part of this industry-changing team developing and deploying advanced technology that can truly make an impact. 
 
We are seeking a skilled and motivated leaders with 10+ years of experience to manage a technical team supporting the development, integration, and testing of perception algorithms for advanced aerospace, defense, and robotics systems. In this role, you will contribute to implementing and integrating innovative perception solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational requirements.
What you'll do:
  • Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication.
  • Write production quality software in C++ 
  • Produce an Assured Position, Navigation, and Timing (A-PNT) system to enable reliable autonomy in GNSS-degraded or denied environments 
  • Extend and specialize Shield AI's state-of-the-art state estimation framework for new sensors, platforms, and missions 
  • Write test code to validate your software with simulated and real-world data 
  • Collaborate with hardware and test teams to validate algorithms/code on aerial platforms 
  • Write analyzers to ingest data and produce statistics to validate code quality 
  • Enhance sensor models within a high-fidelity simulation environment 
  • Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and benchmarking capabilities 
Required qualifications:
  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience 
  • Ability to develop, benchmark, debug, and deploy software-based algorithms 
  • Demonstrated problem solving skills by applying a scientific approach 
  • Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 8 years with a PhD; or equivalent work experience
  • 2+ years managing technical teams.
  • Demonstrated experience integrating and working with sensor payloads in the DoD space
  • Proficient with sensor fusion for noisy high-bandwidth exteroceptive sensors on compute-constrained systems
  • A solid foundation in theory related to state estimation, object detection,  data association, probabilistic robotics, and signal processing.
  • Experience working projects with 10+ contributors 
  • Offers Fast, efficient, effective problem solving approaches 
  • Exceptional collaborator and communicator 
  • Comfortability within Unix environments 
  • Hard-working, trustworthy teammate 
  • Exhibits holding themselves and others to high standards 
  • Being kind to others 
  • Ability to obtain a SECRET clearance 
Preferred qualifications:
  • MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience 
  • Understanding of robotics technologies related to autonomous behavior development e.g. task allocation or planning. 
  • Understanding/Experience with unmanned system technologies and accompanying algorithms (specifically air domain) 
  • Familiarity with high-fidelity simulation and sensor modeling
  • Working knowledge of Kalman Filter, Factor Graphs and other modern estimator fundamentals.
  • Strong working knowledge of Computer Vision with hands-on experience with OpenCV or similar CV libraries.
  • Experience developing sensor effects (control) algorithms.
  • Hands-on experience developing or implementing state of the art object detection/recognition pipelines.
  • Active SECRET clearance 
  • Experience with UCI and OMS Standards
$229,233 - $343,849 a year
#LI-ED1
#LE

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.
 
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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.
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