Sr. Embedded & Compute Software Developer

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

Sr. Embedded & Compute Software Developer

Job Title: Sr. Embedded & Compute Software Developer

Location: Remote – US

Compensation: $130,000 - $160,000 USD + Bonus Eligible

Who we are: Lynx delivers modular, open standards–based software that transforms how high-assurance, mission-critical edge systems are built, deployed, and maintained. Our secure edge computing solutions enable innovation and operational excellence in the world’s most demanding environments, from aerospace and defense to commercial and industrial systems. We partner across industries including automotive, medical, and critical infrastructure to deliver tailored solutions aligned with each customer’s mission and operational requirements.Our key products and services are:

• MOSA.ic: LYNXMOSA.ic™is a modular software framework and architecture purpose-built for mission-critical edge computing. Based on theModular Open Systems Approach (MOSA),it provides a flexible foundation for buildingsecure, scalable, and certifiable edgesystems.
• LYNX MOSA.ic.AI : LYNX MOSA.ic.AI is a unified CPU and GPU software platform that enables deterministic, certifiable deployment of AI and advanced workloads in mission-critical edge systems. It brings control, performance, and lifecycle governance together, allowing AI tooperatepredictably within safety-critical environments without compromising certification or system integrity.
• CoreSuite2.0 : CoreSuite2.0 is Lynx’s safety-criticalGPU for graphics enablement framework designed for mission-critical edge computing systems.It provides hardware-accelerated graphics, visualization, and video processing capabilities that can be certified for high-assurance systems.
• Services : Lynx Services is Lynx’s professional services organization that helps customers design, integrate, certify, deploy, andmaintainsafety- and security-critical systems. It supports industries like aerospace, defense, automotive, and industrial computing through consulting, engineering, integration, and lifecycle support,reducing development risk and accelerating certification in standards-driven, mission-critical environment.

Role Overview

This role provides technical leadership in the design, development, and optimization of high-performance GPGPU and AI inference libraries built on top of Vulkan SC drivers. The position focuses on delivering efficient, scalable compute solutions across embedded GPU platforms, including Arm Mali and Intel architectures, while ensuring robust performance and reliability.

Key responsibilities include driving end-to-end library development, from architecture and implementation to optimization and certification, while maintaining AI model testing infrastructure and defining validation standards. The role also leads platform porting and release efforts for new hardware targets and customer deployments, providing ongoing post-delivery support.

In addition to hands-on engineering, this position plays a critical role in cross-functional collaboration: producing clear technical documentation for diverse stakeholders, contributing to competitive market analysis with product management, and supporting continuous improvement of Vulkan SC drivers through debugging and issue resolution.

The role also emphasizes team growth and innovation, including mentoring engineers, onboarding new team members, and exploring emerging AI compute capabilities and use cases to expand the impact of the software stack.

Key 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.

Qualifications Required

· 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

· Experience with embedded real-time safety-critical operating systems (preferably Lynx, Deos, VxWorks)

· Experience with DO-178 or ISO26262 software development processes

Sound Exciting?

We have very robust benefits including:

• 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

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.