Software Engineer

As a Two Six Technologies Software Engineer for an automated hardware reverse engineering and analysis tool, you will work with the product team to develop and implement new features and with our professional machine learning (ML) researchers, developers, and operators to help shape program functionality and usability. You will develop our analysis pipeline, inclusive of user interfaces, APIs, the analysis pipeline itself, and associated data storage. You will help scale-up our well-established ML systems that ingest, assess, segment, and contextualize hardware. You will play a key role in productizing our successful research and delivering solutions for our transition partners. 

Job Responsibilities Include:

• Development, versioning, and maintenance of our ML-based automated hardware reverse engineering tool suite
• Shape the operationalization and transition to government and industry users
• Develop new features per emerging user needs
• Collaborate in the creation and integration of new machine learning models, user workflows, and long-term solutions for scaling and other software concerns
• Collaborate in the construction of back-end capabilities that will expand and improve our analysis capabilities 
• Collaborate in the evaluation of cutting-edge ML analysis tools
• Partner with other developers on cloudification, containerization, and productization of their applications
• Engage with peers to review solutions and help ensure our team delivers maintainable and extensible solutions
• This job will require access to a secure lab for certain deliverables though 90%+ of your work on this project will be unclassified, allowing you to benefit from our hybrid workplace policies

Minimum Qualifications

• Advanced degree with 2+ years of software development experience or Bachelor’s degree with 4+ years of experience. 

• Python fluency including packaging, testing, and requirements management
• Must be physically located in or around Arlington VA and have the ability to commute infrequently to a secure facility in Arlington VA
• Active TS/SCI is required

Nice-to-haves:

• Experience with full stack development across multiple technology stacks
• We are currently using aiohttp + jinja templates with a smattering of vuejs, but are still early in the design process for the user facing product, and you will have the opportunity to help shape this approach

• Compute cluster provisioning and management experience
• Knowledge of distributed computing concepts
• Open source project development experience
• Training or evaluation of ML models experience
• Development of datasets for ML training experience
• Experience with Linux, git, GPUs, and NVIDIA-Docker
• Docker and container registry experience
• AWS S3 or EC2 familiarity

Clearance Requirements:

Active TS/SCI required