Senior Embedded & Compute Software Developer

Diverse Lynx

. Design and implement GPGPU and AI inference libraries on top of Vulkan SC drivers, focusing on correctness and performance .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in GPGPU and AI inference library design and implementation, with a strong focus on optimization and performance across embedded GPU platforms. Proficient in C/C++ software development and familiar with ML frameworks and GPU programming APIs, ensuring high-quality software delivery and compliance with safety-critical standards.

Highest-signal resume keywords

C/C++ Software DevelopmentGPGPU ProgrammingAI Inference OptimizationML Frameworks (PyTorch, ONNX, TensorFlow)Embedded Software Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

C/C++ Software DevelopmentGPGPU ProgrammingAI Inference OptimizationEmbedded Software DevelopmentDebugging and TroubleshootingML Frameworks (PyTorch, ONNX, TensorFlow)Vulkan ProgrammingOpenGL ProgrammingOpenCL ProgrammingCUDA Programming

Soft Skills

MentoringCollaborationDocumentation ProductionCompetitive Analysis

Tools & Technologies

Vulkan SC DriversEmbedded GPU PlatformsAI Model Testing InfrastructureSafety-Critical Operating Systems (Lynx, Deos, VxWorks)

Certifications & Qualifications

Bachelor's Degree in EngineeringDO-178 Software Development ProcessISO26262 Software Development Process

Industry Keywords

GPGPUAI InferenceEmbedded SystemsReal-Time Operating SystemsSafety-Critical Software

Tech Stack

Tools & technologies

PyTorchTensorflowC++

About the role

Key responsibilities & impact

Design and implement GPGPU and AI inference libraries on top of Vulkan SC drivers, focusing on correctness and performance
Optimize AI inference across supported 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
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 for 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
Drive end-to-end library development from architecture and implementation through optimization and certification
Support continuous improvement of Vulkan SC drivers through debugging and issue resolution

Requirements

What you’ll need

Bachelor's degree in engineering (Computer, Software, Electrical), Computer Science 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
Preferred: Experience with GPU programming APIs: Vulkan, OpenGL, OpenCL, CUDA
Preferred: Experience with embedded real-time safety-critical operating systems (preferably Lynx, Deos, VxWorks)
Preferred: Experience with DO-178 or ISO26262 software development processes

Benefits

Comp & perks

Low-cost Medical / Dental / Vision coverage options
401K with generous employer match
Responsible Paid Time Off + Paid Holidays
Remote work opportunities based on role
Employee Assistance Program (EAP)
Career growth and professional development opportunities
Bonus eligible