About the Role - Build deep understanding of target workloads and characterize their compute, memory, bandwidth, and latency demands on a variety of target hardware platforms
- Model performance at every level - silicon, system, service, and end-to-end user experience - and connect insights across layers
- Develop and maintain analytical and simulation-based models that project system performance across design and assumption variants
- Collaborate with silicon, software, hardware, model, and service teams to align assumptions and deliver insights
- Validate models against measured workload behavior and continuously improve fidelity
- Translate findings into clear, actionable recommendations for architects, engineers, and leadership
- Proactively identify performance risks and design opportunities ahead of architectural commit points
Requirements- 5+ years analyzing workload behavior and modeling system performance for consumer or data center products
- BS in Computer Science, Electrical Engineering, or related technical discipline
- Hands-on experience with profiling, benchmarking, and tracing tools across the stack
- Strong programming skills in Python and at least one systems language (C/C++/Rust)
- Demonstrated ability to translate quantitative analysis into architectural recommendations
Bonus Qualifications- 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
- Comfort moving fluidly between rigorous quantitative work and cross-functional influence
- Curiosity, technical depth, and a bias toward learning new system domains quickly
CompensationThe US base salary range for this full-time position is between $120,000 - $300,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
