ACET, Inc. Hiring For Software Developer – Intermediate at Monterey, CA Full Time

Adams Communication & Engineering Technology (ACET), Incorporated is a Veteran Owned Small Business (VOSB) system engineering and information technology firm, headquartered in Maryland and Virginia. Incorporated in 1999, we support mission critical Information Technology (IT) business needs for clients within the intelligence community (IC), Department of Defense (DOD), Veteran Administration (VA) and for select commercial clients. ACET, Inc.’s technical, programmatic, and analytical professionals are experts in commercial technology, customized solutions, and proprietary government systems.

ACET is seeking a Software Developer, Intermediate in Monterey, CA

This work is in the context of modeling unmanned system aspects with Monterey Phoenix (MP, see https://wiki.nps.edu/display/MP/Monterey+Phoenix+Home) and in the context of creating intuitive user interface capabilities that make this modeling tool more easily accessible to users without detailed MP knowledge. Machine Learning (ML) and Computer Vision (CV) techniques will be applied to analyze user actions and drawings and to recognize shapes and artifacts that are part of a visual vocabulary for MP schemas.

Specifically, the work sought in this SoW is in support of this exploration and prototype development effort, which will be led by the project PI, Prof. Mathias Kölsch at the Naval Postgraduate School.

Based on currrent funding, this project is expected to complete after four months.  A successful project may result in follow-on project work.​

Expected tasks are:

• Familiarization with MP and the schema for modeling systems.
• Creation of an unmanned system model with MP to iteratively increasing degrees of detail and sophistication.
• Creation/collection of a data set of images (digital photos and/or screen captures) of atomic schema shapes and artifacts, and for combinations of those to increasing degrees of complexity. Some of these need to be for the above unmanned system mode.
• Annotation/labeling of the above data set in a supported label format. Data set versioning with DVC or a similar tool.
• Implementation of Python code to assess the performance of ML code. This includes reading the above labels, comparing to the results of the ML code, calculating accuracy metrics, plotting results, versioning and comparing results, and other standard tasks involved with ML performance analysis. There are Python libraries and other tools that do the heavy lifting of this task; it is expected that those will be used liberally.
• Software engineering assistance with the development and application of ML and AI algorithms. This is to include software parameterization for hyperparameter evaluation, a pipeline for continuous integration and continuous evaluation, and other aspects of software engineering that are not the actual ML/AI algorithm implementations.
• Assistance with experimentation with TensorFlow deep neural network configurations and with the implementation of custom input layers.
• Provision a deep-learning training setup, likely utilizing NPS-owned and managed compute resources. This setup shall support parallel training to efficiently evaluate performance in a moderately-sized parameter space.
• Creating a prototype demonstration application from experimental code. It shall make use of the most appropriate tools to quickly and efficiently wrap the experimental code into a rudimentary yet as-complete-as-possible end-to-end workflow to demonstrate ML/AI capabilities to the task of unmanned system modeling with MP.

Beyond these expected tasks, additional unforeseen tasks might be discovered throughout the project lifetime and might require completion as necessary. Team communication and interaction and task prioritization is expected to happen daily throughout the lifetime of the project.

1. Excellent Python programming abilities and familiarity with libraries such as numpy, scikit-learn, pandas.
2. Familiarity with machine learning and/or statistics.
3. Familiarity with TensorFlow and the general process of training and evaluating a convolutional neural network (CNN). This can be isolated knowledge in TF without deeper CV or image processing experience, but actual CV experience is preferable.
4. This support member must be a highly motivated self-starter and independent worker who has experienced real-world product development and is accustomed to performing in and communicating with a team.

*All candidates must be a U.S. Citizen to apply*

**COVID-19 Considerations**

Executive Order 14042, issued by President Biden requires Federal Contractors to follow the guidance provided by the “Safer Federal Workforce Task Force.” Successful applicants for this position must be fully vaccinated against COVID-19 as a condition of employment by their start date.

ACET is an Equal Opportunity / Affirmative Action Employer and VEVRAA Federal Contractor.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.