Autonomy Software Engineer I - MAGE

SSCI, Inc.

Burlington, Northern (MA, KY)

Hybrid

USD 85,000 - 108,000

Full time

6 days ago
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Benefits offered by this job

Health Care Plan (Medical, Dental &amp
Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&
&D)
Paid Time Off (Vacation, Sick & PH
Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development
Hybrid Work Schedule
Free Food & Snacks
Wellness Resources
Employee Stock Ownership Plan

Job summary

SSCI, Inc. seeks an Autonomy Software Engineer I to join the core AI-enabled Autonomy Software team. You will contribute to day-to-day agile software engineering for initial development, DevSecOps, CI/CD integration, and ongoing testing using modeling and simulation platforms.

You will also support autonomy software integration and test for multiple programs aligned with customer objectives. Essential functions include migrations to SSCI’s Digital Engineering Environment, software documentation,

Qualifications

  • Bachelor's degree or equivalent experience in a technical field and software R&D in AI for robotics or autonomous systems.
  • Experience leading autonomy software within an integration team to achieve operational capabilities.
  • Experience with modern software tool chains, including build, test, documentation, and configuration management.

Responsibilities

  • Migrate Scientific Systems software to SSCI Digital Engineering Environment to support DoD requirements.
  • Write and review software documentation.
  • Support development sprints and code reviews.
  • Develop software to meet program milestones using Agile methodologies.
  • Support Prime and customer-facing interactions.
  • Stay current with industry trends in autonomy, robotics, and software engineering.

Skills

C/C++
Python
Java
Rust
Object-oriented design
APIs

Education

Bachelor's degree in Math, Statistics, Computer Science, Engineering, Physical Science, Operations Research, or Data Science
Equivalent experience in software engineering / AI for robotics

Tools

Git/GitLab/GitHub
Confluence/Jira
CI/CD
MBSE tools

Job description

Autonomy Software Engineer I will be part of the company's core AI-enabled Autonomy Software development team. Primary responsibilities include day-to-day, agile software engineering for initial development, DevSecOps and CI/CD integration, and ongoing software test and evaluation using advanced modeling and simulation platforms. Additional responsibilities include providing autonomy software integration and test support to multiple autonomy programs aligned with specific customer autonomy objectives.


Essential Functions:



  • Support migrations of Scientific Systems software applications to the SSCI Digital Engineering Environment, as directed, in support of current and future USG and DoD software acquisition requirements.



  • Write and review software documentation.



  • Support development sprints and code reviews.



  • Develop software to achieve program milestones as directed, in accordance with modern software engineering Agile Software Development methodologies.



  • Support Prime and customer-facing interactions.

  • Stay current with industry trends, emerging technologies, and best practices in software engineering and other areas relevant to SSCI (Navigation, Mission Planning, Autonomy, etc.).



  • This role may require the ability to sit or stand at a desk and work on a computer for prolonged periods of time.



  • Must be able to obtain and maintain a US DOD Security Clearance.


Basic Qualifications:



  • Bachelors' of Science degree in Math, Statistics, Computer Science, Engineering, Physical Science, Operations Research, or Data Science, or equivalent experienceand software engineering experience in a related industry and relevant experience with software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems Software



  • Experience working as part of an autonomy integration team, including leading autonomy software to achieve operationally relevant software capabilities.



  • Experience using modern software development tool chains and processes including build, test, and documentation methodologies as well as experience performing configuration (user accounts, project settings) for tools such as git/Gitlab/Github, Confluence/Jira, CI/CD, build automation tools, automated test methodologies, Model-Based System Engineering tools and techniques, etc.



  • Experience using C/C++, Python, and/or project-specific required languages (e.g. Java, Rust, etc.).



  • Experience designing object-oriented class structures with well-designed API within the languages of interest.



  • Experience with DoD or other common robotics and datalink architecture standards. ( especially OMS, ROS, and AFSIM, as well as FACE, DDS, STANAG 4586, J-Series, etc)



  • Experience designing software architecture for complex software systems and integrate with DoD-standard architectures and interfaces.



  • Experience identifying and clarifying customer technical requirements and aligning technical efforts with requirements.


Preferred Qualifications:



  • Master's of Science degree or PhD



  • Excellent organizational skills and attention to detail



  • Significant experience in AI/Autonomy/Robotics advanced technologies and software as demonstrated in successfully field-tested unmanned systems



  • Experience in Linux-based development environments



  • Excellent oral and written communication skills including technical writing skills used to write clear documentation for developed code.



  • Ability to identify and creatively solve complex problems.



  • Ability to execute logical reasoning and decision-making skills.



  • Excellent organizational skills and attention to detail.



  • Salary: $85,000 - $108,000 (Depends on Experience)

  • Health Care Plan (Medical, Dental & Vision)

  • Retirement Plan (401k, IRA)

  • Life Insurance (Basic, Voluntary & AD&D)

  • Paid Time Off (Vacation, Sick & Public Holidays)

  • Family Leave (Maternity, Paternity)

  • Short Term & Long Term Disability

  • Training & Development

  • Hybrid Work Schedule

  • Free Food & Snacks

  • Wellness Resources

  • Employee Stock Ownership Plan

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