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Ethical Software Engineer Jobs in Maryland (NOW HIRING)

Booz Allen Hamilton

Software Engineer

Lexington Park, MD · On-site

$69K - $158K/yr

R0243159 Software Engineer The Opportunity: As a full stack developer, you can resolve a problem ... ethical use of AI tools. However, we want to ensure a fair candidate process based on your own ...

Booz Allen Hamilton

Software Engineer

Lexington Park, MD · On-site

$69K - $158K/yr

Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a ... ethical use of AI tools. However, we want to ensure a fair candidate process based on your own ...

Booz Allen Hamilton, Inc.

Software Engineer

Annapolis, MD · On-site +1

$86K - $198K/yr

Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with ... ethical use of AI tools. However, we want to ensure a fair candidate process based on your own ...

Booz Allen Hamilton, Inc.

Software Engineer

Annapolis, MD · On-site

$86K - $198K/yr

Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a ... ethical use of AI tools. However, we want to ensure a fair candidate process based on your own ...

Phase2 Technology

$86.90 - $198/hr

We're looking for an experienced developer like you with the skills needed to develop software and ... ethical use of AI tools. However, we want to ensure a fair candidate process based on your own ...

Booz Allen Hamilton

Software Engineer, Senior

Laurel, MD · On-site

$86K - $198K/yr

Software Engineer, Senior The Opportunity: As a full stack developer, you can resolve a problem ... ethical use of AI tools. However, we want to ensure a fair candidate process based on your own ...

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All JobsEthical Software Engineer JobsEthical Software Engineer Jobs in Maryland

Ethical Software Engineer information

See Maryland salary details

$61.6K

$143.2K

$199.4K

How much do ethical software engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for ethical software engineer in Maryland is $143,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $167,900.00 per year, depending on experience, location, and employer.

What is an ethical software engineer?

An Ethical Software Engineer is a professional who develops software with a strong focus on ethical considerations, such as privacy, security, fairness, and minimizing harm. They ensure that the software they create aligns with ethical standards, legal requirements, and societal values. Their role often involves evaluating the potential impacts of technology on users and communities and advocating for responsible design and implementation practices. Ethical software engineers work to prevent bias, protect user data, and promote transparency in software systems.

What are the key skills and qualifications needed to thrive as an ethical software engineer?

To thrive as an Ethical Software Engineer, you need strong programming abilities, knowledge of software development processes, and a solid understanding of ethical frameworks in technology, often supported by a degree in computer science or related fields. Familiarity with secure coding practices, privacy compliance tools, and certifications like Certified Ethical Hacker (CEH) or relevant cybersecurity credentials is valuable. Critical thinking, integrity, and effective communication help you navigate complex ethical dilemmas and collaborate across diverse teams. These skills ensure the creation of responsible, secure, and trustworthy software that aligns with both user needs and societal values.

How does an ethical software engineer typically collaborate with cross-functional teams to ensure responsible technology development?

Ethical Software Engineers often work closely with product managers, designers, and data scientists to identify potential ethical risks early in the development process. They participate in regular meetings to review project goals, propose safeguards, and ensure that ethical considerations are embedded in both design and implementation. This collaborative approach helps create transparent, fair, and accountable technology solutions while fostering a culture of shared responsibility across the organization.

What are popular job titles related to Ethical Software Engineer jobs in Maryland?

For Ethical Software Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Ethical Software Engineer jobs in Maryland look for?

The top searched job categories for Ethical Software Engineer jobs in Maryland are:

What cities in Maryland are hiring for Ethical Software Engineer jobs?

Cities in Maryland with the most Ethical Software Engineer job openings:

Ethical Software Engineer jobs near you
Infographic showing various Ethical Software Engineer job openings in Maryland as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $143,178 per year, or $68.8 per hour.

Research Software Engineer

Baltimore, MD • On-site

John Hopkins University
See more jobs at John Hopkins Universityexternal

$203K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

The Johns Hopkins Data Science and AI Institute (DSAI) is a pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Scientific Discovery, Engineered Systems, Security & Safety, and People, Policy & Governance.
 
DSAI seeks multiple Research Software Engineers with strong academic and industry background focused on designing and building software for state-of-the-art AI and data science applications across diverse scientific domains. The successful candidates will work at the cutting edge of modern science in collaboration with DSAI affiliated faculty at Johns Hopkins University (JHU) on projects ranging from consulting and short-term service engagements to large, multiyear AI and data science initiatives and applications. DSAI will address the growing demand for high-quality professional software engineers within academia who can build dynamic, scalable, open software to facilitate accelerated scientific discovery across disciplines.
 
The DSAI engineers will be at the forefront of modern data intensive science, where professionally developed software is rapidly becoming a key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability.
 
 
Specific Duties & Responsibilities 
  • Work collaboratively in a team with other RSEs and scientists.
  • Participates in ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. The projects may,
  • Require the creation of AI/ML solutions using the latest deep learning libraries trained on state-of-the-art hardware.
  • Involve analysis of massive data sets either in the cloud or on premises.
  • Require creation of novel data science techniques, software pipelines for processing of real-time high-frequency data processing workflows and may need the design of complex database models for storing and disseminating scientific data sets.
  • Require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement.
  • Require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, efficiency, reusability, robustness, portability, documentation, etc.).
  • It is a high-level goal of DSAI to translate the efforts for individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects.
  • Develop software to implement novel scientific research algorithms.
  • Create and run data processing workflows utilizing on-premise or cloud-based. computing infrastructure.
  • Develop data models.
  • Co-author scientific publications describing software and/or other contributions.
  • Translate recurring themes from specific projects into frameworks and template patterns. for sustainable scientific infrastructure benefiting future projects.
 
Lead and participate in service activities, potentially including
  • Providing guidance to faculty, staff, and students on AI, data science and software engineering.
  • Developing and delivering presentations and short courses.
  • Attending conferences and workshops.
  • Code quality reviews.
  • Hiring.
  • Other activities as needed.
 
Special knowledge, skills, and abilities required
  • Expert-level knowledge of Python and/or C++ and willingness to learn other languages as needed.
  • Expert-level knowledge of multiple modern AI/ML, vision, NLP, bioinformatics and/or mathematical or computational libraries.
  • Familiarity with software containerization technologies such as Docker and Singularity.
  • Familiarity with RESTful web service principles and development.
  • Familiarity with SQL and relational database principles and development.
  • Fluency in the Linux operating system and related tools.
  • Familiarity with modern software engineering best practices, such as Git source control, peer code review, test-driven development, build automation and continuous integration / continuous delivery.
  • Familiarity with cloud development and deployment.
  • Demonstrated leadership and self-direction.
  • Willingness to teach others both informally and in short course format.
  • Willingness to continually learn new tools and techniques as needed.
  • Excellent verbal and written communication.
 
 
Minimum Qualifications
  • Masters in a quantitative discipline, such as Computer Science, Engineering, Physics or Bioinformatics with strong scientific computing and/or mathematics background.
  • Three (3) year''s experience working in software development in large projects and three (3) year''s experience in development and application of
  • AI/ML- developing, training and applying state of the art models in practical scientific applications aligned with DSAI domains, or
  • Data science - modeling, transforming, applying ETL pipelines, and similar operations to complex data sets at scale.
  • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
 
 
Preferred Qualifications
  • PhD in a quantitative discipline (highly preferred).
  • Five (5) years’ experience as above in either AI/ML or data science concentration.
  • Experience developing, training, fine-tuning and applying LLMs and/or foundational models.
  • Experience deploying AI models onto clinical platforms.
  • Experience with large scale scientific simulations or simulations of air/terrestrial/sea vehicles.
  • Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data.
  • Experience in CUDA GPU programming.
  • Experience authoring open-source Python packages in PyPI.
  • Experience in open-source project governance.
  • Experience in open-source community adoption initiatives.
 
 
Classified Title: Scientific Software Engineer 
Job Posting Title (Working Title): Research Software Engineer (Data Science and AI Institute)   
Role/Level/Range: APPTSTAF/01/ST  
Starting Salary Range: Commensurate w/exp. 
Employee group: Full Time 
Schedule: M-F, 37.5 hrs wkly 
FLSA Status: Exempt 
Location: Hybrid/Mount Washington Campus 
Department name: DSAI Institute  
Personnel area: Whiting School of Engineering 
 

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