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Scientific Systems

Senior Software Engineer I - Autonomy Software

  • Seen live on Scientific Systems' site 3 days ago
  • Senior
Pay
$128k to $154k a year USD
Location
Burlington, Massachusetts, United States
Open for
14+ days
First seen
Oct 21, 2026
Apply on Scientific Systems' site (opens in a new tab)

Posting record

No flags

Open 14+ days

The posting's record, oldest first
  1. Scientific Systems' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Scientific Systems, so its true age is longer.

Last checked Nov 1, 2026.

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What it asks of you

Security clearance required
“Must be able to obtain and maintain a United States DOD Security Clearance.” (quoted from the posting)
4+ years of experience
“4+ years of experience in software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed System” (quoted from the posting)

What the posting discloses

Pay
$128k to $154k a year USD
Salary: $128,000 - $154,000 (Depends on Experience) (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

Scientific Systems is looking to fill a Senior Software Engineer position in the domain of Autonomous Vehicles and Uncrewed Systems. The successful applicant will be responsible for developing software for advanced AI/ML programs relating to autonomous flight systems and crewed-uncrewed collaboration.

Essential Functions

  • Architect and develop advanced software for multi-vehicle autonomy for complex, contested environments.
  • Provide relevant technical expertise as part of a team to design, implement, and test autonomy software systems for embedded uncrewed multi-vehicle autonomy.
  • Support presentation of technical results to internal and external customers.
  • Support integration of existing work into an unified software architecture.
  • This role may require occasional travel to remote test events.
  • Must be able to obtain and maintain a United States DOD Security Clearance.

Requirements

Basic Qualifications

  • Bachelor’s degree (or higher) in Math, Statistics, Engineering, Physical Science, Computer Science, Operations Research, Data Science
  • 4+ years of experience in software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems Software.
  • Experience developing modular, maintainable, production-quality autonomy software.
  • Experience developing using C/C++, Python, and (optional but desired) relevant memory-safe languages.
  • Experience with and/or understanding of modern software development tool chains and processes (Agile, git/Gitlab/Github, Confluence/Jira, CI/CD, Conan, SonarQube, automated test methodologies, etc.)
  • Desired: Familiarity with DoD or other common robotics and datalink architecture standards (e.g. OMS/UCI, A-GRA, WOSA, FACE, DDS, ROS, STANAG 4586, J-Series, AFSIM, etc).
  • Desired: Familiarity with AI robotic navigation and decision algorithms – path planning (A*, RRT), schedule optimization (Simulated Annealing, Genetic Algorithms, Tabu Search), distributed coordination algorithms

Preferred Qualifications

  • Familiarity with Linux-based development environments is highly desired.
  • Must be able to effectively communicate orally and possess technical writing skills.
  • Strong collaboration skills in multi-disciplinary autonomy, vehicle systems, and systems engineering teams.
  • Must be able to work effectively as part of an integration-focused development team.

Benefits

  • Salary: $128,000 - $154,000 (Depends on Experience)
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Hybrid Work Schedule
  • Free Food & Snacks
  • Wellness Resources
  • Employee Stock Ownership Plan

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