2 дня назад
Principal Software Engineer, Performance Analysis and Modeling (AI)
175 000 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer, Performance Analysis and Modeling (AI): Building analytical performance models and architecture simulators for AI inference accelerators, emerging hardware technologies, and generative AI workloads with an accent on computer architecture, HW/SW co-design, and ML performance analysis. Focus on modeling current and future silicon, analyzing multimodal LLM and generative workloads, and identifying hardware/software improvements across compiler, inference server, kernel, and hardware teams.
Location: Hybrid onsite at the Santa Clara, California headquarters three days per week; remote work considered within the United States.
Salary: $175,000–$285,000 per year, plus equity and bonus opportunities.
Company
develops software and hardware innovations that use generative AI and AI inference accelerators to transform technology.
What you will do
- Analyze ML workloads, multimodal LLMs, chain-of-thought reasoning models, and video/audio generation for performance-relevant properties.
- Build and maintain analytical performance models for current and future hardware generations.
- Develop and extend architecture simulators for proposed hardware and software features.
- Collaborate with hardware design, compiler, inference server, kernel, and product teams to validate assumptions and identify downstream implications.
- Track ML architecture and algorithm research and incorporate relevant findings into modeling work.
- Recommend hardware/software improvements and document modeling methodologies and findings.
Requirements
- BSEE with 6+ years of industry experience or MSEE with 4+ years of industry experience.
- Working knowledge of computer architecture, hardware/software co-design, performance modeling, and ML fundamentals, particularly DNNs.
- Programming fluency in C/C++ or Python.
- Experience building or using analytical performance models or architecture simulators.
- Self-motivated, collaborative, and comfortable working across hardware and software teams.
Nice to have
- Experience optimizing AI/ML workloads on accelerator technologies.
- Research or investigation experience in AI/ML architecture or microarchitecture.
Culture & Benefits
- Collaborative and inclusive environment centered on respect, humility, and direct communication.
- Medical, dental, and vision coverage.
- 401(k) benefits and an inclusive rewards plan supporting employee wellbeing.
- Additional incentive opportunities based on individual and company performance.
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