Assistant Staff - Signal Processing & Software Engineer

MIT Lincoln Laboratory•Lexington, MA
•$100,200 - $150,000•Onsite

About The Position

The Electronics for Contested Space Group develops advanced electronic systems and technology for the protection of our Nation’s most important space capabilities. We design and develop state-of-the-art satellites and satellite payloads, novel concepts for resilient space architectures, and the Nation’s most sensitive radars, optics, and passive RF systems. The group also provides engineering rigor and experience to some of the most critical National Security programs through Laboratory-wide collaboration and acts in an advisory capacity to the U.S. Government. Recently we have prototyped electronic systems and effects, conducted hardware-in-the-loop testing of tactically relevant payloads with surrogate threat systems, developed RF subsystems for satellites, and analyzed spacecraft mission dynamics, environments, and resiliency. Group 94, Electronics for Contested Space, is seeking a digital signal processing engineer to assist multidisciplinary teams of scientists and engineers in developing the next generation of resilient space systems. Alongside world-class experts, you will model, analyze, prototype, and demonstrate innovative concepts using real-world experiments across the terrestrial and space domains. An ideal candidate is a self-driven contributor, an effective communicator of technical content to all audiences, and an effective member of an interdisciplinary team. Broad experience in multiple technology areas and applications will make a candidate for this role stand out. Occasional travel to support field exercises, presentations to sponsors and the community, and other events may be required.

Requirements

  • A Bachelor’s Degree in Electrical Engineering, Physics, Computer Engineering, Mathematics, or a similar technical field
  • A technical Degree and at least 3 years of relevant experience will be also be considered
  • Experience with digital signal processing techniques and algorithms
  • Software engineering experience with demonstrated proficiency in C/C++, Rust, Java, or another system-level programming language, with a focus on developing secure, scalable, and maintainable systems.
  • Professional or academic experience in at least one of the following areas, and some familiarity and career interest in several others: Radar systems, Remote sensing, Electronics, Control of autonomous systems, Mechanical and materials, Physics, Systems engineering, Space systems
  • Analytical and/or scientific programming proficiency and experience applying to solve real technical problems (e.g. MATLAB, Python, C/C++, or similar)

Nice To Haves

  • Active Top Secret Security Clearance highly desired
  • Ability to develop code and operate in a Linux computing environment
  • Familiarity with container technologies and container orchestration tools
  • Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) and security integration tools.
  • Experience developing software in alignment with cybersecurity requirements, including secure coding practices, vulnerability mitigation, and compliance with security standards.
  • Experience analyzing large datasets in MATLAB, Python, R, or C/C++

Responsibilities

  • Model, analyze, prototype, and demonstrate innovative concepts using real-world experiments across the terrestrial and space domains.
  • Work responsibly and safely in laboratory and assembly environments.
  • Develop respectful, productive working relationships.
  • Communicate clearly, precisely, and concisely to technical and non-technical audiences.
  • Solve broad and/or complex technical or engineering problems.
  • Learn and apply advanced technical knowledge quickly and proficiently.

Benefits

  • 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
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