Sr. Embedded & Compute Software Developer

Job Title: Sr. Embedded & Compute Software Developer Location: Remote – US or Canada Compensation: US: $130,000 - $160,000 USD + Bonus Eligible Canada: $110,000 - $140,000 CAD + Bonus Eligible This role is open to candidates based in the US or Canada. Compensation is location-based and will vary depending on experience, skills, and local market conditions. 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: LYNX MOSA.ic™ is a modular software framework and architecture purpose-built for mission-critical edge computing. Based on the Modular Open Systems Approach (MOSA), it provides a flexible foundation for building secure, scalable, and certifiable edge systems. 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 to operate predictably within safety-critical environments without compromising certification or system integrity. CoreSuite 2.0 : CoreSuite 2.0 is Lynx’s safety-critical GPU 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, and maintain safety- 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 rea