Autonomy & AI Systems Software Engineer

Teledyne FLIR

Durham (NC)

Presencial

USD 110.000 - 150.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Health, dental, vision
Paid vacation
Sick time
Life insurance
401(k)
Tuition reimbursement
Employee stock purchase plan
Employee events

Descripción de la vacante

Teledyne Scientific Company is seeking an exceptional Software Engineer to support advanced research projects involving autonomy, machine learning, and biomedical applications. The role is onsite at our Research Triangle Park facility in Durham, NC.

Responsibilities include developing novel algorithms, leading GPU/SoC implementations, and collaborating across multiple projects. Requires 5–10 years of experience, C++, Docker, and CMake, with U.S.

Formación

  • 5-10 years of experience in software development
  • Experience with C++ is required
  • Experience with Docker is required
  • Experience with CMake is required
  • Familiarity with software development practices under Linux is required
  • Coursework in algorithms is strongly desired
  • U.S. Citizens with ability to obtain security clearance

Responsabilidades

  • Define, develop, and deliver algorithms for autonomy, ML, and biomedical applications
  • Lead development of advanced algorithms on PC, GPU and SoC architectures (~50%)
  • Assist with software design and architecture across diverse projects (~45%)
  • Travel less than 5% is anticipated

Conocimientos

Experience with C++
Docker
CMake
Linux
Communication skills

Educación

B.S. in Computer Science or related field

Herramientas

MATLAB
GPU/FPGA architectures

Descripción del empleo

Teledyne Scientific Company is seeking an exceptional Software Engineer to support advanced research projects involving autonomy, machine learning, and biomedical applications. The role is onsite at our Research Triangle Park facility in Durham, NC.

Responsibilities include developing novel algorithms, leading GPU/SoC implementations, and collaborating across multiple projects. Requires 5–10 years of experience, C++, Docker, and CMake, with U.S.

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