Sr. Embedded & Compute Software Developer

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.

·       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

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.

• →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.

·       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 + 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.