Job Title: Sr. Embedded & Compute Software Developer

Location: Remote – US or Canada

Pay Range:

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

Canada: $110,00 - $140,000 CAD + Bonus Eligible

Who we are: Lynx delivers modular, open standards-based software solutions that redefine the economics of developing, deploying, and maintaining high assurance, mission critical edge platforms. These secure edge computing solutions are designed to drive innovation and operational excellence in today’s most demanding environments. From advancing aerospace and defense capabilities to transforming commercial and industrial systems, Lynx collaborates across a wide range of industries, including automotive, medical, and critical infrastructure, to deliver tailored, high assurance solutions aligned with specific mission and operational requirements. Our key products and services are: 

• LYNX MOSA.ic: A software platform that can include a LYNX safety-critical real-time operating system. MOSA.ic's modular design provides robust support for multicore processing. It allows different operating systems and applications of different criticality levels to be run on separate cores for improved performance, reliability, and security.
• CoreSuite 2.0: A suite of graphics libraries and tools that enable GPU hardware acceleration for both graphics and "GPU Compute", supporting applications such as machine learning and AI processing in edge devices.
• MOSA.ic.SCA and Vigiles, tools that provide Software Bill of Materials (SBOM) and Common Vulnerabilities Exposure (CVE) management for embedded Linux-based and other applications.
• Software development services for high-reliability applications that can include initial setup of a "DevSecOps" development environment, software application development, and long-term product lifecycle management. 

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? Get in touch today! We have very robust benefits including: 

• Low-cost Medical / Dental / Vision coverage options 
• 401K with generous employer match 
• Responsible Paid Time Off + 11 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.