Senior Embedded & Compute Software Engineer (Remote)

Lynx; Northern (KY); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

401K with employer match

Paid Time Off + Holidays

Remote work opportunities

Employee Assistance Program

Career growth and development

Job summary

Lynx is seeking a Sr. Embedded & Compute Software Developer to lead design and optimization of high-performance GPGPU and AI inference libraries on Vulkan SC drivers for embedded GPUs (Arm Mali, Intel). Remote US options are available.

You will drive end‑to‑end library development, certification, platform porting, and collaboration with product management while mentoring the team and exploring new AI compute capabilities.

Qualifications

• Bachelor's degree in Engineering/CS or related field
• 5+ years of experience in C/C++ software development
• Experience with ML frameworks such as PyTorch, ONNX, TensorFlow

Responsibilities

• Design and implement GPGPU and AI inference libraries on top of Vulkan SC drivers, focusing on correctness and performance
• Optimize AI inference across embedded GPU platforms
• Lead porting and release efforts to new platforms and customers, including post-delivery support
• Maintain AI model testing infrastructure and define certification requirements for compute libraries
• Collaborate with Product Management on competitive analysis and translate product requirements into architectural decisions
• Mentor new team members and contribute to team growth and innovation

Skills

C/C++

Embedded

ML frameworks

Education

Bachelor's degree in Engineering/CS

Tools

Vulkan

OpenGL

OpenCL

CUDA

Deos

VxWorks

Job description

Lynx is seeking a Sr. Embedded & Compute Software Developer to lead design and optimization of high-performance GPGPU and AI inference libraries on Vulkan SC drivers for embedded GPUs (Arm Mali, Intel). Remote US options are available.

You will drive end‑to‑end library development, certification, platform porting, and collaboration with product management while mentoring the team and exploring new AI compute capabilities.