Software Architect

MIT Lincoln Laboratory; Lexington (MA); On-site; USD 145,200 - 170,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision plans

MIT-funded pension

Matching 401K

Paid leave including vacation, sick, and parental

Tuition reimbursement

Mentorship programs

Work-life balance options

Job summary

A leading research laboratory in Lexington, MA is seeking a motivated Software Architect to lead a dynamic team in a rapid prototyping environment. The candidate will oversee software design and development, integrating advanced algorithms and sensor data, while also mentoring junior staff members. Ideal applicants will have a Master's degree and significant experience in software architecture, cloud services, and Agile methodologies. Join a team committed to national security through innovative energy solutions.

Qualifications

• 3+ years of experience in software development.
• Ability to lead a team in a fast-paced environment.
• Experience with machine learning and data integration.

Responsibilities

• Lead software design and implementation in a prototyping environment.
• Develop and integrate sensor data and algorithms.
• Mentor junior staff and manage documentation.

Skills

Software architecture development

Modular and scalable microservice architecture

Cloud-native services

Data pipelines and APIs

Python or Java proficiency

Continuous integration and deployment (CI/CD)

Agile methodologies

Database optimization

Machine learning techniques

Education

M.S. in Computer Science, Computer Engineering, or related discipline

Tools

AWS

Azure

Linux

Windows

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.