Software Engineer

The Energy Systems Group at MIT Lincoln Laboratory develops energy and critical infrastructure resilience solutions for national security. Our group works on a wide variety of programs including domestic and tactical military base energy resilience, microgrids – energy systems that can operate independently from the bulk electric grid, cyber security of control systems that interface with energy systems, and development of advanced energy technologies. The group leads systems analysis efforts focusing on the gaps between infrastructure and operational requirements, executes live exercises for testing energy and cyber resilience posture, builds hardware‑in‑the‑loop and real‑time simulation platforms, does basic and applied research on technologies, and fields functional prototypes. Projects are typically conducted in a team environment, leveraging expertise from within Lincoln Laboratory and MIT campus to successfully execute nationally important and cutting‑edge efforts. 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 candidate will be expected to assess the operational feasibility of their approaches through analysis and should be well organized, self‑driven, creative, and detail‑oriented. Documentation and presentation of their work is required throughout the life‑cycle of development efforts and may include the generation of flowcharts, diagrams, slides, and code documentation. This is an onsite/hybrid position. Candidates are expected to work onsite in Lexington, MA for at least 60% of their working time. Requirements B.A/B.S computer science, computer engineering, or a related technical discipline Proficiency in Python Experience developing and deploying cloud‑based software (AWS, Azure, etc.) Development and utilization of continuous integration and deployment (CI/CD) architectures Experience creating, querying and optimizing databases Familiarity with basic machine learning processing and optimization techniques Basic knowledge of the Windows and Linux operating systems Effective written and oral communications skills in technical environments Strong candidates will have one or more of the desired skills: Working knowledge of basic scripting languages (PowerShell, Bash, Perl, etc.) Experience with embedded software development Experience using generative AI to accelerate software development Recent Graduate Hiring Range: $100,200 - $120,000 Experienced Hiring Range: $100,200 - $150,000 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 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 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 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. #J-18808-Ljbffr