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Job description
Software Architect
Date: May 4, 2026
Location: Lexington, MA, US
Company: MIT Lincoln Laboratory
The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Core technical competencies include system-level modeling, gap analysis, advanced sensing and signal processing, machine learning and AI, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
Responsibilities
Support software design, implementation, testing, and deployment activities within a rapid prototyping environment. Work across technical areas in a dynamic team-oriented development environment and likely support multiple projects at one time. Lead a team of software developers to design, implement, and test prototype software systems. Develop and integrate sensor data and algorithms based on statistical modeling and machine learning techniques. Mentor junior staff. Document and present work throughout the development lifecycle, creating flowcharts, diagrams, slides, and code documentation. Candidates will work onsite in Lexington, MA for at least 60% of their working time.
Requirements
PhD or M.S. with 3 years of experience in computer science, computer engineering, or 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 evaluating and selecting appropriate technologies and frameworks
Proficiency in Python and Java
Experience developing and deploying cloud-based software (AWS, Azure, etc.)
Experience with continuous integration and deployment (CI/CD) and DevSecOps best practices
Experience in Agile development methodologies (Scrum, Kanban)
Experience creating, querying, and optimizing databases
Basic knowledge of Windows and Linux operating systems
Excellent written and oral communication 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
Beneficial Summary
Comprehensive health, dental, and vision plans
MIT-funded pension
Matching 401k
Paid leave (vacation, sick, parental, military, etc.)
Tuition reimbursement and continuing education programs
Mentorship programsWork-life balance options
and more
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.
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 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.
Salary Range (Recent Graduate): $145,200 - $170,000
Salary Range (Experienced): $145,200 - $220,000
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
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Worksite address
lexington, MA, 02173, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.