Software Architect

Our group is seeking highly motivated individuals to support software design, implementation, test, and deployment activities within a rapid prototyping environment. The candidate will work across different technical areas in a dynamic team-oriented development environment and will likely support multiple projects at one time. The position requires the ability to lead a team of software developers to design, implement, and test prototype software systems. The position requires the development and integration of sensor data and algorithms based on statistical modelling and machine learning techniques. The candidate should be well-organized, self-driven, creative, detail-oriented, and have strong verbal and written communication and teaming skills. Mentoring more junior staff members is expected. Documentation and presentation of work is required throughout the life-cycle of development efforts and may include the generation of flowcharts, diagrams, slides, and code documentation.

PhD or M.S. with 3 years of experience in computer science, computer engineering, or a related technical discipline

• Experience in software architecture development

• Experience in full-stack software development

• Experience designing modular, extensible, and scalable microservice based architectures

• Experience with data pipelines, and APIs

• Experience in evaluating and selecting appropriate technologies and frameworks

• Proficiency in Python and Java

• Experience developing and deploying cloud-based software (AWS, Azure, etc.)

• Development and utilization of continuous integration and deployment (CI/CD) architectures and DevSecOps best practices

• Experience leading and participating in Agile development methodologies (Scrum, Kanban)

• Experience creating, querying, and optimizing databases

• Basic knowledge of the Windows and Linux operating systems

• Excellent written and oral communications skills in technical and non-technical environments

Desired Skills:

• Working knowledge of Go, C#, JavaScript, C/C++, or Rust

• Working knowledge of basic scripting languages (PowerShell, Bash, Perl, etc.)

• Experience using generative AI to accelerate software development

• Requirements development and user requirements elicitation experience

• Program management experience

• Experience with cloud-native services

• Familiarity with basic machine learning processing and optimization techniques

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

• Comprehensive health, dental, and vision plans

• MIT-funded pension

• Matching 401K

• Paid leave (including vacation, sick, parental, military, etc.)

• Tuition reimbursement and continuing education programs

• Mentorship programs

• A range of work-life balance options

• … and much more!

Please visit our Benefits page (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory (Lexington, MA)

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.