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Open Source Intelligence Jobs in Massachusetts (NOW HIRING)

The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating ... Evidence of research excellence through publications, open-source contributions, technical ...

The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating ... Evidence of research excellence through publications, open-source contributions, technical ...

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Open Source Intelligence information

See Massachusetts salary details

$55.7K

$107.7K

$160K

How much do open source intelligence jobs pay per year?

As of Sep 8, 2026, the average yearly pay for open source intelligence in Massachusetts is $107,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $134,300.00 per year, depending on experience, location, and employer.

What is an open source intelligence?

An Open Source Intelligence (OSINT) job involves collecting, analyzing, and interpreting publicly available data to support decision-making in cybersecurity, law enforcement, business, or government operations. OSINT analysts gather information from sources like social media, news articles, public records, and databases to identify threats, trends, or insights. These professionals use various tools and techniques to verify and contextualize data while adhering to ethical and legal guidelines. The role requires strong analytical skills, attention to detail, and knowledge of data privacy laws to ensure responsible use of information.

What are the key skills and qualifications needed to thrive in open source intelligence?

To thrive in Open Source Intelligence (OSINT), you need strong analytical skills, a deep understanding of internet research techniques, and familiarity with information verification, often supported by degrees in fields such as criminal justice, cybersecurity, or intelligence studies. Experience with specialized OSINT tools like Maltego, Recon-ng, and knowledge of data privacy legislation are highly valued, as are certifications such as GIAC Open Source Intelligence (GOSI). Attention to detail, ethical integrity, and effective communication are crucial soft skills for interpreting and reporting findings clearly. These skills are important because they ensure the accurate, lawful, and actionable gathering of data from open sources to support security, investigative, or decision-making objectives.

What are some typical challenges faced by professionals in open source intelligence?

Professionals working in Open Source Intelligence (OSINT) commonly face challenges such as information overload, verifying the credibility of sources, and navigating rapidly evolving digital platforms. They must also stay current with legal and ethical considerations when collecting and analyzing publicly available data. Collaboration with cybersecurity, law enforcement, or intelligence teams is frequent to ensure findings are integrated effectively. Developing efficient research strategies and maintaining a critical mindset are key to overcoming these obstacles and delivering actionable intelligence in a timely manner.

Are there open source intelligence jobs?

Open Source Intelligence (OSINT) jobs involve collecting and analyzing publicly available information for security, research, or investigative purposes. These roles are common in government agencies, private security firms, and consulting companies, often requiring skills in data analysis, research tools, and sometimes certifications like OSINT certifications or security clearances.

How do I get started in Open Source Intelligence?

To start a career in Open Source Intelligence (OSINT), develop skills in research, data analysis, and cybersecurity tools such as Maltego or OSINT frameworks. Gain knowledge of online sources, social media platforms, and legal considerations, and consider certifications like the GIAC Open Source Intelligence Certification (GX0-01) to validate your expertise.

How to get a job in open source intelligence?

To get a job in open source intelligence, candidates should develop skills in data analysis, research, and cybersecurity tools, often through relevant degrees or certifications such as OSINT certifications. Gaining experience with intelligence platforms, programming languages like Python, and understanding legal and ethical considerations can improve employability. Networking within intelligence communities and staying updated on industry trends also help in securing positions in this field.

Is open source intelligence work in demand?

Open source intelligence (OSINT) analysts are in increasing demand across government agencies, private security firms, and corporations due to the need for data collection and analysis from publicly available sources. Skills in research, data analysis, and familiarity with tools like Maltego or OSINT frameworks enhance employability in this growing field.

What are the most commonly searched types of Open Source Intelligence jobs in Massachusetts?

The most popular types of Open Source Intelligence jobs in Massachusetts are:

Infographic showing various Open Source Intelligence job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $107,703 per year, or $51.8 per hour.

Sr. Software Engineer, Multiagent Simulation

FieldAI

Boston, MA • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
FieldAI is transforming how robots interact with the real world. They are seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration, working in a fast-paced environment to build realistic simulation environments for robots.
Responsibilities:
• Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios.
• Integrate physics, perception, and comms models so agents behave realistically at fleet scale.
• Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation.
• Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity.
• Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap.
• Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases.
• Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time).
• Maintain reproducible experiment infrastructure with versioned scenes, configs, and results.
• Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.
Qualifications:
Required:
• MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience).
• 7+ years hands-on experience building simulation environments for robotics or autonomous systems.
• Proficiency in Python and C++; comfort reading and extending large codebases.
• Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis).
• Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.
• Familiarity with standard robotics middleware.
• Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams.
• Ability to translate research into practical, field-deployable systems.
Preferred:
• Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL).
• Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale.
• Background in distributed systems or cloud-based simulation orchestration.
• Hands-on work with real robot fleets in field environments (e.g., construction, mining, logistics, defense).
• Contributions to open-source robotics or simulation frameworks.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.