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Executive Gps Machine Control Jobs in Boston, MA

Whoop

Senior Manager, Machine Learning

Boston, MA · On-site

Represent the team's work credibly to executive and cross-functional audiences with brevity ... change control, design history, and audit readiness in fast-moving ML programs * Demonstrated ...

Quantum Machines

Field Marketing Manager

Boston, MA · On-site +1

Description Quantum Machines (QM) is a global leader in hybrid control systems for quantum ... trade shows, executive events, and QM-hosted programs. • Drive customer advocacy programs ...

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All JobsGps Machine Control JobsExecutive Gps Machine Control JobsExecutive Gps Machine Control Jobs in Boston, MA

Executive Gps Machine Control information

See Boston, MA salary details

$28.8K

$101.6K

$199.9K

How much do executive gps machine control jobs pay per year?

As of Aug 15, 2026, the average yearly pay for executive gps machine control in Boston, MA is $101,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $130,900.00 per year, depending on experience, location, and employer.

What is the difference between Executive Gps Machine Control vs Gps Machine Operator?

AspectExecutive Gps Machine ControlGps Machine Operator
CredentialsTypically requires specialized training or certification in GPS technology and machine control systemsUsually needs a high school diploma and on-the-job training
Work EnvironmentOffice-based with field supervision, overseeing multiple machines and projectsField-based, operating and monitoring GPS-controlled machinery
Industry UsageUsed in construction, mining, and large-scale earthmoving projectsPrimarily in construction and landscaping sites

Executive Gps Machine Control professionals focus on overseeing GPS machine operations, planning, and system management, often from an office setting. In contrast, Gps Machine Operators handle the hands-on operation of GPS-enabled machinery in the field. Both roles are essential in construction projects but differ in responsibilities, credentials, and work environment.

What are popular job titles related to Executive Gps Machine Control jobs in Boston, MA?

For Executive Gps Machine Control jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Executive Gps Machine Control jobs in Boston, MA look for?

The top searched job categories for Executive Gps Machine Control jobs in Boston, MA are:

Executive Gps Machine Control jobs near you

GNC & Autonomy Engineer with Security Clearance

Connexion Systems and Engineering, Inc.

Burlington, MA • On-site

$115 - $180K/hr

Other

Re-posted 4 days ago

Job description

Connexion’s mission is to provide "best in class" services to job seekers. We strive to achieve excellence in job placement, staffing, and recruiting services, while treating candidates with the professionalism and respect they deserve. Job Title: GNC and Autonomy Engineer Compensation, Benefits, and Employment Type
Duration: Full-time/permanent
Salary Range: $115-$180K depending on experience
Job Location: Lexington, MA Schedule: M-F, standard business hours
Job#: bh18894 Overview
This organization develops and delivers AI-enabled autonomy and robotic systems for mission-critical applications at the tactical edge. The team combines deep expertise in algorithms, controls, and machine learning with hands-on system integration and real-world deployment. Work spans the full lifecycle of advanced autonomy systems—from concept development through design, integration, field testing, and transition into operational environments across defense and intelligence domains. Position Description
In this role, you will contribute to navigation and estimation efforts supporting autonomous systems across sea, ground, and air domains. Projects often involve GPS-denied environments, leveraging alternative sensing modalities such as: Magnetic
Vision-based
Radio frequency systems
You will work on single-agent and multi-agent systems, contributing to both research and applied engineering efforts. Key responsibilities include: Designing and implementing state estimation and navigation algorithms
Supporting development across the full lifecycle (concept ? field testing)
Contributing to system integration and real-world deployment
Collaborating with cross-functional teams across software, hardware, and research
Exploring and prototyping advanced approaches, with opportunities for publishable research
Required Qualifications
Master’s degree + 3 years of experience OR Bachelor’s + 5 years of experience in:
Engineering
Computer Science
Robotics or related field
Hands-on experience with:
Autonomous or uncrewed systems
Feedback control (robust, optimal, or adaptive)
State estimation (Kalman filters, particle filters, SLAM, factor graphs)
Strong programming skills:
C++ (required)
Linux environment
Ability to:
Write clean, maintainable, well-structured code
Communicate technical concepts clearly to diverse audiences
Preferred / Nice-to-Have Skills
ROS and/or Python
GPS-denied navigation systems
Machine learning applications in autonomy
Computer vision algorithms and hardware
Real-time systems / RTOS
Experience in defense, robotics, or advanced R&D environments
Additional Requirements
Ability to obtain and maintain a Top Secret DoD security clearance

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