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Software Architect, Software Engineer, AI Engineer (Applied​/Software)

Job in Lexington, Middlesex County, Massachusetts, 02173, USA
Listing for: Talentify
Full Time position
Listed on 2026-10-03
Job specializations:
  • Software Development
    Software Engineer, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 145200 - 220000 USD Yearly USD 145200.00 220000.00 YEAR
Job Description & How to Apply Below

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.

Job Description

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.

Candidates are expected to 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 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 Dev Sec Ops  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 (Power Shell, 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

Recent Graduate Hiring Range: $145,200 - $170,000

Experienced Hiring Range: $145,200 - $220,000

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…

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