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Cognitive Software Engineer Jobs in Silver Spring, MD

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Cognitive Software Engineer information

See Silver Spring, MD salary details

$65.6K

$152.5K

$212.4K

How much do cognitive software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for cognitive software engineer in Silver Spring, MD is $152,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $178,800.00 per year, depending on experience, location, and employer.

What is the difference between Cognitive Software Engineer vs Data Scientist?

AspectCognitive Software EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fieldsBachelor's or Master's in CS, Statistics, or Data Science
Work EnvironmentDevelops AI-powered applications, often in tech or research firmsAnalyzes data to extract insights, typically in tech, finance, or healthcare
Industry UsageAI and machine learning product developmentData analysis and predictive modeling

While both roles require strong technical backgrounds, Cognitive Software Engineers focus on building AI systems and applications, whereas Data Scientists analyze data to inform decisions. Both roles are prevalent in tech industries and often collaborate on AI-driven projects.

What are popular job titles related to Cognitive Software Engineer jobs in Silver Spring, MD?

For Cognitive Software Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Cognitive Software Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Cognitive Software Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Cognitive Software Engineer jobs?

Cities near Silver Spring, MD with the most Cognitive Software Engineer job openings:

Cognitive Software Engineer jobs near you
Infographic showing various Cognitive Software Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $152,506 per year, or $73.3 per hour.

Software Engineer, Agent Platform

Anduril Industries

Washington, DC • Remote

Full-time

Re-posted 22 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,541 frontline employees who took The Breakroom Quiz

Job description

ABOUT THE TEAM

Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril's Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. 

ABOUT THE JOB

Frontier AI is looking for a backend software engineer to own and evolve our internal LLM agent framework. This role sits at the intersection of backend infrastructure, applied AI, agent architecture, model post-training, and evaluation tooling. You will build the platform that enables teams across Anduril to develop, evaluate, and deploy reliable LLM agents in mission-critical environments.


WHAT YOU'LL DO

  • Own Anduril's internal LLM agent framework, including core abstractions, runtime architecture, developer experience, integrations, and reliability.
  • Support multiple business lines building LLM agents by providing new framework capabilities, implementation guidance, architectural reviews, and best-practice patterns.
  • Partner with machine learning teams to make model post-training workflows easy to integrate, ranging from supervised fine-tuning to offline RL, online RL, and environment-driven agent improvement.
  • Design tooling that supports modern agent patterns, including structured tool calling, filesystem-using agents, memory and retrieval, planning loops, subagents, agent graphs, and human-in-the-loop workflows.
  • Work with partner teams to define comprehensive evaluation suites that measure task success, tool-call correctness, trajectory quality, robustness, regressions, and deployment readiness.
  • Stay current on emerging agent architecture and evaluation trends, and make pragmatic decisions about which techniques should or should not be adopted internally.
REQUIRED QUALIFICATIONS
  • Strong backend engineering experience building production-quality platforms, frameworks, APIs, or infrastructure used by other engineers.
  • Deep expertise in LLM agent framework design, including the tradeoffs between different orchestration patterns such as linear agents, graph-based agents, multi-agent systems, planner/executor loops, and tool-heavy agents.
  • Experience designing agent evaluation paradigms, including trajectory evaluations, LLM-as-judge workflows, task-success metrics, tool-call correctness checks, rubric-based qualitative grading, adversarial scenario testing, regression eval suites, and human-in-the-loop review.
  • Familiarity with model post-training workflows such as SFT, preference tuning, reinforcement learning, and environment-based agent training.
  • Strong judgment around reliability, observability, debugging, and safety for LLM applications deployed in high-stakes settings.
  • Ability to work directly with partner teams, understand ambiguous product needs, and turn them into reusable platform capabilities.
PREFERRED QUALIFICATIONS
  • Experience with agent frameworks like Langchain Deepagents, Claude SDK, etc.
  • Experience building evaluation platforms, simulation environments, benchmark suites, or agent test harnesses.
  • Experience with Kubernetes, Docker, distributed systems, workflow orchestration, or ML infrastructure.
  • Familiarity with defense, robotics, command-and-control systems, autonomy, or operational planning domains.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

Social media

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