Senior Perception Software Engineer - Embedded AI (Remote)

Ladders

United States

Remote

USD 224,000 - 357,000

Full time

2 days ago
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Benefits offered by this job

Equity eligibility
World-class engineers
Autonomous driving tech
Collaborative environment
Continuous learning

Job summary

Ladders is seeking a Senior Perception Software Engineer to join a leader in the Telecommunications & Hardware space, focusing on perception software for embedded, real-time applications and autonomous driving.

The role collaborates with engineers and researchers to deliver perception capabilities on embedded platforms, ensuring reliability, testability and strong performance in a dynamic, innovative environment. Remote-US based; visa sponsorship not offered.

Qualifications

  • BS, MS or PhD in Computer Science or related field, or equivalent experience.
  • 12+ years of experience on embedded platforms for real-time applications.
  • Strong programming skills in C++ and Python.
  • Experience with test-driven development.
  • Proficiency in software engineering tools.
  • Ability to document requirements and specifications.
  • Outstanding communication and collaboration skills.

Responsibilities

  • Execute the full software development life cycle (SDLC).
  • Write well‑designed, testable code.
  • Integrate perception software components into a fully functional system.
  • Develop software verification plans and quality assurance procedures.
  • Document and maintain software functionality.
  • Solve, debug, and upgrade existing systems.
  • Deploy state‑of‑the‑art perception deep learning models to embedded platforms.

Skills

C++
Python
TDD
Embedded RT
Documentation
Collaboration
Communication

Education

CS degree or PhD

Job description

Ladders is seeking a Senior Perception Software Engineer to join a leader in the Telecommunications & Hardware space, focusing on perception software for embedded, real-time applications and autonomous driving.

The role collaborates with engineers and researchers to deliver perception capabilities on embedded platforms, ensuring reliability, testability and strong performance in a dynamic, innovative environment. Remote-US based; visa sponsorship not offered.

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