Software Engineer

Analytical Mechanics Associates; Mountain View (CA); On-site; USD 105,000 - 135,000; Full time

Benefits offered by this job

Paid personal and federally recognized

Holiday leave

401(k) with matching

Tuition reimbursement

Short/long term disability

Medical insurance

Dental insurance

Vision insurance

Job summary

Analytical Mechanics Associates (AMA) is seeking full-time Software Engineers to support the NASA Academic Mission Services 2 contract at NASA Ames Research Center in Mountain View, CA. You will contribute to AI/ML applications, full-stack software, and cloud-based services under guidance from senior engineers.

Responsibilities include frontend/backend development, cloud deployments, RESTful APIs, CI/CD, security practices, and documentation while collaborating with multidisciplinary teams to

Qualifications

• Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Data Science, AI, IT, or related STEM field.
• 0–3 years of professional software engineering, AI/ML, cloud, or related experience.
• Experience in Python, Java, JavaScript, C++, or C#.
• Understanding of OOP, data structures, algorithms, and software engineering principles.
• Familiarity with HTML, CSS, JavaScript and modern frontend frameworks (React, Angular, Vue).
• Familiarity with REST APIs, databases, and server-side programming.
• Experience with AWS, Azure, or Google Cloud preferred.
• GIT and collaborative software development practices.
• Knowledge of Agile and DevOps concepts is a plus.

Responsibilities

• Implement responsive frontend UIs and backend services with modern web frameworks, APIs, and databases.
• Design and deploy cloud-native applications on commercial and government platforms.
• Develop and maintain RESTful APIs, microservices, and data interfaces.
• Support CI/CD pipelines for automated builds, tests, deployments and monitoring.
• Follow secure software development practices and assist in risk remediation.
• Contribute to software documentation, architecture diagrams, and technical reports.
• Collaborate with project teams to identify issues and drive quality solutions.
• Participate in Agile activities: sprint planning, stand-ups, reviews, and retrospectives.
• Keep up-to-date with AI/ML, cloud services, and software tooling.

Education

Bachelor’s degree in CS/Engineering

Tools

Git

Docker

Kubernetes

CI/CD tools

Job description

Job Description

AMA is looking for full-time Software Engineers to work on a project under the NASA Academic Mission Services 2 (NAMS-2) contract at NASA Ames Research Center in Mountain View, CA. The work is in support of Software Facilities Engineering at the Aviation Systems Division at NASA Ames Research Center. In this role the successful applicants will:

• Provide technical leadership and expertise to support the design, development, testing, and maintenance of AI/ML applications, full stack software solutions, and cloud-based services under the guidance of senior engineers.


• Develop and maintain frontend and backend software components using modern programming languages, frameworks, and software engineering best practices.


• Assist in deploying, configuring, and maintaining cloud infrastructure and services to support scalable, secure, and reliable applications.


• Collaborate with multidisciplinary engineering teams to implement software features, integrate system components, and support project objectives.


• Participate in all phases of the software development lifecycle, including requirements analysis, design, implementation, testing, deployment, documentation, and maintenance.


• Prepare technical documentation, status reports, presentations, and demonstrations to support project reviews and stakeholder communications.

Job Description

AMA is looking for full-time Software Engineers to work on a project under the NASA Academic Mission Services 2 (NAMS-2) contract at NASA Ames Research Center in Mountain View, CA. The work is in support of Software Facilities Engineering at the Aviation Systems Division at NASA Ames Research Center. In this role the successful applicants will:

• Provide technical leadership and expertise to support the design, development, testing, and maintenance of AI/ML applications, full stack software solutions, and cloud-based services under the guidance of senior engineers.


• Develop and maintain frontend and backend software components using modern programming languages, frameworks, and software engineering best practices.


• Assist in deploying, configuring, and maintaining cloud infrastructure and services to support scalable, secure, and reliable applications.


• Collaborate with multidisciplinary engineering teams to implement software features, integrate system components, and support project objectives.


• Participate in all phases of the software development lifecycle, including requirements analysis, design, implementation, testing, deployment, documentation, and maintenance.


• Prepare technical documentation, status reports, presentations, and demonstrations to support project reviews and stakeholder communications.

The Key Responsibilities Include

• Implement responsive frontend user interfaces and backend services using modern web development frameworks, APIs, and databases.


• Assist with designing and deploying cloud-native applications using commercial and government cloud platforms and cloud engineering best practices.


• Develop and maintain RESTful APIs, microservices, and data interfaces to support application integration.


• Support the development and maintenance of CI/CD pipelines to automate software builds, testing, deployment, and monitoring.


• Follow secure software development practices and assist with implementing cybersecurity controls, code reviews, and vulnerability remediation.


• Contribute to software documentation, architecture diagrams, technical reports, user guides, and operational procedures.


• Collaborate with project teams to identify technical issues, recommend improvements, and support delivery of high-quality software solutions.


• Participate in Agile development activities, including sprint planning, daily stand-ups, code reviews, and retrospectives.


• Stay current with emerging technologies, software development tools, AI/ML techniques, and cloud computing services through continuous learning and professional development.

Required Qualifications

• Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, Information Technology, or a related STEM field.


• 0–3 years of professional experience in software engineering, AI/ML, cloud computing, or a related technical field (internships, research projects, or academic experience may be considered).


• Experience programming in one or more languages such as Python, Java, JavaScript, C++, or C#.


• Basic understanding of object-oriented programming, data structures, algorithms, and software engineering principles.


• Familiarity with frontend technologies such as HTML, CSS, JavaScript, and modern frameworks (e.g., React, Angular, or Vue).


• Familiarity with backend development concepts, REST APIs, databases, and server-side programming.


• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform is preferred.


• Exposure to source code management tools such as Git and collaborative software development practices.


• Understanding of Agile software development methodologies and DevOps concepts is preferred.


• Strong analytical, problem-solving, communication, and teamwork skills.


• Ability to obtain and maintain any required government security clearance, if applicable.

Desirable Qualifications

• Internship, co-op, undergraduate research, capstone project, or personal


• portfolio demonstrating software development or AI/ML experience.


• Experience developing web applications or cloud-hosted applications through academic or personal projects.


• Exposure to containerization technologies such as Docker or Kubernetes.


• Experience with SQL or NoSQL databases.


• Familiarity with CI/CD tools and automated testing.


• Relevant industry certifications or coursework in cloud computing, AI/ML, software engineering, or cybersecurity are a plus.

Salary Range

• The salary range for this position is $105,000 to $135,000, based on experience.


• US citizenship or Permanent Residency is required.


• This is an onsite role in Mountain View, CA. Some hybrid work is possible.

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.

AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.

AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.