9 часов назад
Product Performance Engineer (AI)
120 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Performance Engineer (AI): Modeling and validating performance for multimodal AI systems and next-generation hardware across compute, memory, bandwidth, latency, and end-to-end user experience with an accent on analytical modeling, simulation, and workload characterization. Focus on profiling target platforms, connecting silicon-to-service insights, and translating quantitative findings into architectural recommendations before design commitments.
Location: San Jose, United States
Salary: $120,000–$300,000 annual base salary
Company
develops personalized multimodal AI and next-generation hardware designed as a unified interface for interacting with people and the real world.
What you will do
- Characterize target workloads across compute, memory, bandwidth, and latency requirements on multiple hardware platforms.
- Model performance across silicon, system, service, and end-to-end user-experience layers.
- Develop and maintain analytical and simulation-based models across design and assumption variants.
- Collaborate with silicon, software, hardware, model, and service teams to align assumptions and deliver performance insights.
- Validate models against measured workload behavior and improve their fidelity.
- Identify performance risks and design opportunities, then communicate actionable recommendations to architects, engineers, and leadership.
Requirements
- 5+ years of experience analyzing workload behavior and modeling system performance for consumer or data center products.
- Bachelor's degree in Computer Science, Electrical Engineering, or a related technical discipline.
- Hands-on experience with profiling, benchmarking, and tracing tools across the stack.
- Strong Python programming skills and proficiency in at least one systems language: C, C++, or Rust.
- Ability to translate quantitative analysis into architectural recommendations.
Nice to have
- MS or PhD in a relevant technical discipline.
- Experience with hardware/software co-design and architectural exploration tooling.
- Familiarity with accelerator, SoC, or memory subsystem architecture.
- Ability to combine rigorous quantitative analysis with cross-functional influence.
- Curiosity, technical depth, and willingness to learn new system domains quickly.
Culture & Benefits
- Full-time position with a US annual base salary range of $120,000–$300,000.
- Total compensation may include additional components and benefits depending on the role.
- Compensation may vary based on job-related knowledge, skills, and experience.
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