3015 IT & Software Developer jobs in the US
Principal AI Software Engineer
$131,300 - 237,350
Washingtonian Boulevard 10000, Gaithersburg
$131,300 - 237,350
Requirements
Must:
- 12+ years of relevant experience with a Bachelors degree in Computer Science or a related field OR 10+ years with a Masters degree
- Hands-on experience with AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, etc.) for tasks such as:
- Code generation and refactoring
- Debugging and automated test creation
- IDE-integrated workflows
- Familiarity with large language model platforms (OpenAI, Anthropic, Google Gemini, etc.)
- Proficiency in designing prompts and validating AI-generated outputs
- Understanding of human-in-the-loop development and ethical AI usage
- Ability to evaluate AI outputs for correctness, performance, safety, and bias, especially in regulated environments
- Experience integrating AI/ML techniques into engineering workflows
- Background in automated testing frameworks
- Strong object-oriented programming skills
- Proficient in C, C++, and/or Ada (Ada preferred)
- Experience in developing real-time, multi-threaded systems
- Familiarity with Linux (Red Hat), virtual machines, and hypervisors
- Knowledge of low-level communication protocols (TCP/IP, UDP, SCTP)
- Experience with complex system integration and source control tools
- Excellent communication skills and capability to work autonomously as well as collaboratively with cross-functional teams
- Ability to obtain and maintain a Public Trust clearance
- US citizenship required
Responsibilities
- Design, develop, test, and maintain software for high-availability, real-time systems
- Utilize AI-assisted development tools to enhance coding, debugging, and automated testing processes
- Employ AI in a responsible manner throughout the entire Software Development Lifecycle (SDLC) including requirements analysis, design, implementation, testing, documentation, and code review
- Analyze complex system requirements and create efficient, maintainable design solutions
- Develop and manage automation scripts across development, testing, and production environments
- Foster code quality, reusability, traceability, and collaboration across teams
Description
We are Leidos, a leader in technology and innovation for government and commercial sectors, committed to delivering smarter, more efficient digital solutions. Our team in locations such as Gaithersburg, MD; Eagan, MN; and Egg Harbor, NJ focuses on enhancing national air traffic operations through advanced real-time, safety-critical systems. We offer a hybrid work schedule, combining onsite collaboration with remote flexibility. If you thrive on tackling complex challenges in regulated environments and believe in the responsible use of AI as a tool for progress, we invite you to join our mission-driven team.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 3015 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Federal Home Loan Bank of Chicago, Hill's Pet Nutrition, Netbuilder, Kodiak Labor Solutions, Colgate-Palmolive, VenHub, AMERICAN SYSTEMS among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Lockheed Martin Corporation as they are hiring for 273 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Lockheed Martin Corporation as they are hiring for 273 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.