Sr. Embedded & Compute Software Developer
Design, develop, and optimize high-performance GPGPU and AI inference libraries for embedded GPU platforms. Lead platform porting efforts, maintain testing infrastructure, and collaborate with cross-functional teams to deliver scalable compute solutions.
- Remote
- Canada, United States
- Posted Aug 17, 2026
- 1 position
Job summary
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 + 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.
What you’ll do
Design, develop, and optimize high-performance GPGPU and AI inference libraries for embedded GPU platforms. Lead platform porting efforts, maintain testing infrastructure, and collaborate with cross-functional teams to deliver scalable compute solutions.
Requirements
Requires a bachelor's degree in a relevant engineering or computer science field and at least 5 years of C/C++ software development experience. Proficiency in embedded systems, ML frameworks, and GPU programming APIs is essential for this role.
Benefits
• Medical coverage • Dental coverage • Vision coverage • 401k with employer match • Paid time off • Paid holidays • Remote work opportunities • Employee assistance program • Career growth opportunities • Professional development
Listed skills
- C++Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- C++
- C
- Vulkan
- GPGPU
- AI inference
- Embedded software development
- PyTorch
- ONNX
- TensorFlow
- OpenGL
- OpenCL
- CUDA
- Debugging
- Software architecture
- Technical documentation
- Mentoring
- Cross-Functional Collaboration
- DO-178B/C (Software Considerations in Airborne Systems and Equipment Certification)
- Time Off Management
- AI/ML Inference
- Technical Leadership
- Vulkan Graphics API
- Knowledge Transfer
- Open Neural Network Exchange (ONNX)
- C (Programming Language)
- Application Programming Interface (API)
- Artificial Intelligence
- Software Development
- C++ (Programming Language)
- Computer Science
- Nvidia CUDA
- Continuous Improvement Process
- Operating Systems
- Embedded Software
- Employee Assistance Programs
- General-Purpose Computing On Graphics Processing Units
- Leadership
- Marketing
- Scalability
- Innovation
- ISO 26262 Standard
- Market Analysis
- Mentorship
- New Product Development
- Product Management
- Technical Documentation
- Troubleshooting (Problem Solving)
- VxWorks
- Competitive Analysis
- Reliability
Job areas
- Software
- Technology
- Engineering
- Embedded Systems Software Developer
- Software Developer / Engineer
- Software Developers
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
