Senior Autonomy Engineer – AI/ML for Multi-Vehicle Systems

Scientific Systems Company, Inc.

New Jersey

Hybrid

USD 128,000 - 154,000

Full time

7 days ago
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Benefits offered by this job

Health care plan
Retirement plan
Life insurance
Paid time off
Family leave
Disability
Training & development
Hybrid work schedule
Free food & snacks
Wellness resources
Employee stock ownership plan

Job summary

Scientific Systems is seeking a Senior Software Engineer to develop software for autonomous flight and uncrewed systems. You will design and implement AI/ML driven autonomy for multi-vehicle operations in complex environments.

The role requires collaboration with cross-functional teams, integration of existing work into unified architecture, and occasional travel to test events. A strong background in C/C++, Python, and modern toolchains is expected.

Qualifications

  • Bachelor’s degree or higher in a relevant field.
  • 4+ years of software development/R&D in AI for Robotics or autonomous systems.
  • Experience building modular, maintainable autonomy software.
  • Experience with C/C++, Python and memory-safe languages.

Responsibilities

  • Architect and develop advanced software for multi-vehicle autonomy in complex environments.
  • Provide technical expertise to design, implement, and test autonomy software for embedded uncrewed systems.
  • Support presentation of technical results to customers and stakeholders.
  • Support integration of existing work into a unified software architecture.
  • Occasional travel to remote test events and ability to obtain DoD security clearance.

Skills

C/C++
Python
AI for Robotics
Robotics Software Development

Education

Bachelor’s degree or higher in relevant field

Tools

Git/Gitlab/Github
Confluence/Jira
CI/CD
SonarQube

Job description

Scientific Systems is seeking a Senior Software Engineer to develop software for autonomous flight and uncrewed systems. You will design and implement AI/ML driven autonomy for multi-vehicle operations in complex environments.

The role requires collaboration with cross-functional teams, integration of existing work into unified architecture, and occasional travel to test events. A strong background in C/C++, Python, and modern toolchains is expected.

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