Senior Embedded GPGPU & AI Compute Engineer (Remote)

Lynx

United States

Remote

USD 130,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical coverage
401K matching
PTO + holidays
Remote work options
EAP
Career development

Job summary

Lynx is seeking a technical leader to design and optimize high-performance GPGPU and AI inference libraries built on Vulkan SC drivers. You will drive architecture, implementation, optimization, and certification for embedded GPU platforms including Arm Mali and Intel, ensuring reliable performance.

You will mentor engineers, produce clear technical docs, and collaborate with product management for market analysis, while leading platform porting and releases to new hardware targets and

Qualifications

  • Bachelor’s degree in engineering (Computer, Software, Electrical) or related field.
  • 5+ years of experience in C/C++ software development.
  • Experience with developing, debugging, and troubleshooting embedded software development.
  • Experience with ML frameworks such as PyTorch, ONNX, TensorFlow.

Responsibilities

  • Design and implement GPGPU and AI inference libraries on top of our Vulkan SC drivers, with a focus on correctness and performance.
  • Optimize AI inference across the embedded GPU platforms we support.
  • 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.
  • Explore and demonstrate new capabilities and use cases for the compute library portfolio.
  • Partner with product management on competitive analysis of AI software offerings.
  • Produce documentation that enables knowledge transfer to customers, product management, marketing, and engineering leadership.
  • Onboard and mentor new team members.
  • Collaborate with Product Management, Product Architecture, and Product Development teams to translate Product Level Requirements into architectural-level decisions.

Skills

C/C++
Embedded software
ML frameworks

Education

Bachelor’s degree in engineering

Tools

Vulkan
OpenGL
OpenCL
CUDA

Job description

Lynx is seeking a technical leader to design and optimize high-performance GPGPU and AI inference libraries built on Vulkan SC drivers. You will drive architecture, implementation, optimization, and certification for embedded GPU platforms including Arm Mali and Intel, ensuring reliable performance.

You will mentor engineers, produce clear technical docs, and collaborate with product management for market analysis, while leading platform porting and releases to new hardware targets and

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