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Cognitive Engineering Jobs in Virginia (NOW HIRING)

Prompt Engineer

Mclean, VA ยท On-site

$115 - $140/hr

... engineering techniques within RAG pipelines, agentic workflows, evaluation harnesses, and ... Bachelor's degree in Computer Science, Linguistics, Cognitive Science, Data Science, or related ...

A defining feature of this role: the cognitive layer is not a conventional digital controller. Its outputs come from biological (organoid-based) and engineered neural substrates coupled with optical ...

Prompt Engineer

Mclean, VA ยท On-site

$115K - $140K/yr

... engineering techniques within RAG pipelines, agentic workflows, evaluation harnesses, and ... Bachelor's degree in Computer Science, Linguistics, Cognitive Science, Data Science, or a related ...

Prompt Engineer

Mclean, VA ยท On-site

$115K - $140K/yr

... engineering techniques within RAG pipelines, agentic workflows, evaluation harnesses, and ... Bachelor's degree in Computer Science, Linguistics, Cognitive Science, Data Science, or a related ...

Prompt Engineer

Mclean, VA ยท On-site

$115K - $140K/yr

... engineering techniques within RAG pipelines, agentic workflows, evaluation harnesses, and ... Bachelor's degree in Computer Science, Linguistics, Cognitive Science, Data Science, or a related ...

Lead Perception & Controls Engineer

Ashburn, VA ยท On-site

$155K - $175K/yr

A defining feature of this role: the cognitive layer is not a conventional digital controller. Its outputs come from biological (organoid-based) and engineered neural substrates coupled with optical ...

Showing results 41-60

Cognitive Engineering information

See Virginia salary details

$46.1K

$145.6K

$172.5K

How much do cognitive engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for cognitive engineering in Virginia is $145,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a cognitive engineering job?

A Cognitive Engineering job involves designing and optimizing systems that enhance human decision-making, problem-solving, and interaction with technology. Professionals in this field apply principles from psychology, artificial intelligence, and human factors engineering to improve user experiences and system efficiency. They work in domains like healthcare, aviation, autonomous systems, and AI-driven applications. The goal is to create intuitive and intelligent systems that complement human cognitive abilities and reduce errors.

What are the key skills and qualifications needed to thrive in cognitive engineering?

To thrive as a Cognitive Engineer, a strong background in psychology, human factors, computer science, or related fields is essential, often supported by a relevant degree. Proficiency in human-computer interaction (HCI) tools, usability testing software, and cognitive modeling platforms is highly valued, as are certifications like Certified Professional Ergonomist (CPE). Exceptional problem-solving abilities, analytical thinking, and effective communication set top performers apart in this field. These skills and qualities are critical for designing systems and products that align with human cognitive capabilities, ensuring both safety and usability.

What are the typical daily tasks and work environment for a cognitive engineer?

Cognitive Engineers typically spend their days analyzing user behaviors, designing user interfaces, creating cognitive models, and collaborating closely with multidisciplinary teams such as software developers, product managers, and UX designers. Much of the work involves conducting user research, running usability studies, and iteratively improving products based on data-driven insights. Work environments can range from tech companies to research institutions, often with opportunities for remote or hybrid schedules. Teamwork is a significant aspect of the role, as Cognitive Engineers often bridge the gap between technical development and user needs. This setting fosters ongoing professional learning and provides a clear path toward roles in user experience leadership or advanced human factors research.

How much do cognitive engineers make?

Cognitive engineers typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, education, and location. They often work with AI, machine learning, and data analysis tools, and advanced skills can lead to higher compensation.

What does a cognitive engineer do?

A cognitive engineer designs and develops systems that mimic human thought processes, such as perception, reasoning, and decision-making. They often work with artificial intelligence, machine learning, and human-computer interaction to improve system performance and usability, typically requiring skills in programming, psychology, and data analysis.

What are the most commonly searched types of Cognitive Engineering jobs in Virginia?

The most popular types of Cognitive Engineering jobs in Virginia are:

What are popular job titles related to Cognitive Engineering jobs in Virginia?

For Cognitive Engineering jobs in Virginia, the most frequently searched job titles are:

Infographic showing various Cognitive Engineering job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $145,608 per year, or $70 per hour.

Applications Engineer (Deep Learning/Machine Learning)

Brillient

Reston, VA โ€ข On-site

Full-time

Re-posted 17 days ago


Job description

Brillient Corporation is seeking an Applications Engineer (Deep Learning/Machine Learning) to join its team in Reston, Virginia to work on client facing projects as well as internal projects.

Description:The Applications Engineer will work on intelligent automation, and AI/cognitive applicationsincluding machine learning and deep learning techniques. He/shewill interface with non-technical users to document requirements, develop applications using an agile development process and be in charge of deployment and operations. Opportunities to learnand applynext generation technologies in the areas ofAI,machine learning and block-chain.