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General Atomics Aeronautical Systems · 1 day ago

Senior Software Architect for AI

Boulder, CO

Full-time

Onsite

Senior Level

$116K/yr - $209K/yr

5+ years exp

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a world leader in remotely piloted aircraft and tactical reconnaissance radars. They are seeking a Senior Software Architect for AI to develop and deploy autonomous systems for unmanned aerial vehicles, utilizing machine learning and deep learning technologies.

EnergyEnergy EfficiencyManufacturingWireless

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope

In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy

In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code

Completes programming and implements efficiencies, performs testing and debugging

Completes documentation and procedures for installation and maintenance

Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope

Lead technical teams and scope challenging projects into executable sprints

Drive code reviews to help team adhere to general DevSecOps and MLOps best practices

Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution

Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience

Interface with external vendors and partners to integrate their technology into the team’s autonomy stack

Maintains the strict confidentiality of sensitive information

Performs other duties as assigned

Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company

Expected to work in a safe manner in accordance with established operating procedures and practices

Qualification

Machine LearningDeep LearningStatistical ModelingProgramming LanguagesTechnical DocumentationCommunication SkillsInterpersonal SkillsTeamworkAdaptabilityProblem Solving

Required

Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education

Must have an advanced understanding of machine learning concepts, principles, and theory

Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance

Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment

Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience

Must be able to work both independently and on a team

Must have a demonstrated history of applying novel technical solutions in fast evolving product areas

Able to work extended hours as required

Ability to obtain and maintain a DoD security clearance is required