Senior Full Stack Engineer

As a Two Six Technologies Full-Stack 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 ML researchers, developers, and operators to help shape program functionality and usability. You will be a core developer of our full 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 machine learning 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
• Collaborative construction of back-end capabilities to help expand and improve the analysis capabilities 
• Collaborate in the evaluation of cutting-edge ML analysis tools via the system
• 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, but 90%+ of your work on this project will be done unclassified, allowing you to benefit from our hybrid  workplace policies.

Minimum Qualifications

• Advanced degree with 2+ years of experience or Bachelor’s degree with 4+ years of experience. 
• Minimum of 5 years of experience working with full stack development, bonus points if you have experience with multiple technology stacks
• We are currently using aiohttp + jinja templates with a smattering of vuejs, but we are still early in the design process for the user facing product and you will be given the ability to help shape what this looks like

• Python fluency including packaging, testing, and requirements management
• Ability to commute infrequently to a secure facility in Arlington, VA

Nice-to-haves:

• 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:

Eligibility for security clearances are required