2 дня назад
Principal Software Engineer (AI)
190 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer (AI): Architecting and developing a kernel authoring SDK, domain-specific APIs, and development tools for the Corsair dataflow architecture with an accent on systems engineering, scalable software design, and ML compiler integration. Focus on building high-performance kernels and lowering flows, establishing CI/CD and automated testing, and solving complex hardware-software interactions.
Location: Hybrid in Santa Clara, California; open to other locations within the US or Canada
Salary: $190,000–$300,000 per year, plus equity and bonus opportunities
Company
develops software and hardware solutions focused on generative AI and AI computing.
What you will do
- Architect and develop a kernel authoring SDK targeting the Corsair dataflow architecture.
- Design domain-specific APIs and define interfaces for kernel developers and compiler teams.
- Create development tools for kernel authoring and modeling lowering flows.
- Establish CI/CD pipelines, automated testing, and rigorous code review practices.
- Analyze complex hardware-software interactions and implement end-to-end solutions.
- Lead and mentor junior engineers while owning requirements, design, implementation, debugging, and deployment.
Requirements
- MS degree in Computer Engineering, Mathematics, Physics, or a related field with 8 years of industry experience, or a PhD with 4 years of industry experience.
- Proficiency in C/C++ and Python development in Linux environments.
- Experience driving CI/CD integration, continuous testing, and comprehensive code reviews.
- Deep understanding of computer architecture, data structures, system software, and machine learning fundamentals.
- Experience designing scalable APIs and SDKs with an end-to-end systems engineering mindset.
- Strong ownership, leadership, collaboration, and problem-solving skills.
Nice to have
- Experience writing and optimizing high-performance kernels for GPUs, TPUs, or custom ML accelerators.
- High-Performance Computing experience with distributed workloads and resource optimization.
- Experience with ML compilers and intermediate representations or frameworks such as MLIR, LLVM, TVM, or Glow.
- Familiarity with AI-assisted coding tools, startup or incubation experience, or work at a cloud or AI computing company.
Culture & Benefits
- Collaborative and inclusive environment emphasizing respect, humility, direct communication, and diverse perspectives.
- Medical, dental, and vision coverage.
- 401(k) and an employee rewards plan supporting overall wellbeing.
- Equity and performance-based bonus opportunities.
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