3308 IT & Software Developer jobs in the US
Washingtonian Boulevard 10000, Gaithersburg
$131,300 - 237,350
Requirements
Must:
- Must be eligible to obtain and maintain a Public Trust security clearance (U.S. Citizenship is required)
- Bachelors degree in computer science or a related field with at least 12 years of relevant experience, or a masters degree with a minimum of 10 years of relevant experience
- Mastery of programming languages such as C++, Python, or Qt, with substantial experience in deploying and managing large-scale production systems
- Proven experience in leading software architecture and technical direction across multiple teams or projects
- Extensive experience using AI-assisted software development tools (e.g., GitHub Copilot, ChatGPT, Roo Code, or similar) and facilitating their implementation in a professional setting
- Advanced ability to assess, validate, and oversee AI-generated outputs, including identifying systemic risks, security issues, and performance implications
- Solid understanding of software architecture, distributed systems, and system-level design considerations
- Demonstrated experience in establishing engineering standards, best practices, and development methodologies across teams
- Capacity to operate strategically and influence diverse stakeholders
- Excellent communication skills, capable of articulating complex technical topics to both technical and non-technical audiences
Responsibilities
- Act as the leading technical authority for software engineering across one or more programs, shaping architecture, design, and long-term technical strategy
- Direct the design and development of complex mission-critical software systems, ensuring they meet performance, safety, security, and scalability standards
- Guide system-level and cross-program architectural decisions, including integration approaches and technology selections
- Define and supervise the strategic implementation of AI-assisted software development across teams and projects
- Establish enterprise or program-level policies, guidelines, and governance for responsible AI usage, with an emphasis on validation standards, traceability, security, compliance, and risk management
- Assess the impact of AI-assisted development on safety-critical systems, ensuring compliance with regulatory, operational, and mission assurance standards
- Provide expert evaluation of AI-generated outputs, pinpointing systemic risks, failure modes, and unintended consequences at scale
- Advocate for the creation of standardized AI-assisted workflows, reusable components, and tooling that enhances productivity while upholding engineering integrity
- Lead technical architecture and code reviews, enforcing the highest standards for software quality, whether human- or AI-generated
- Mentor and nurture the development of senior and mid-level engineers, fostering their technical growth and promoting best practices in software engineering and AI-assisted development
- Collaborate with program leadership, systems engineering, cybersecurity, and other stakeholders to align software strategy with mission goals
- Pursue continuous enhancement across development processes, toolchains, and engineering culture, including the effective integration of emerging AI technologies
Description
We are Leidos, a leading industry and technology firm providing innovative solutions to government and commercial clients. Located in Reston, Virginia, our team is composed of 47,000 dedicated professionals who delivered around $16.7 billion in revenue for the fiscal year ending January 3, 2025. We believe in crafting comprehensive compensation packages that reflect the significance of our work for clients, offering competitive salaries and extensive benefits including health and wellness programs, income protection, paid leave, and retirement options. If you seek a role that challenges the norm and embraces innovation, look no further—join us as we redefine whats possible in our mission to enhance air traffic management.
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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 3308 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?
Cluster Systems, D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, Allied Technical Solutions, KUBRA, Agilus 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 271 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 271 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
