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Posted: 10/16/2026Hardware Engineer, Performance Modeling
Normal ComputingCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in performance modeling and architecture-level modeling, with a strong focus on translating architectural designs into efficient modeling code. Proficient in collaborating with cross-functional teams to ensure accurate design verification and performance prediction for AI workloads.
Highest-signal resume keywords
Performance ModelingSystemCC++PythonArchitecture-Level Modeling
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build and maintain a cycle-accurate approximate transaction-level model of compute tiles, memory hierarchy, and interconnect using SystemC, C++, or Python
- Translate TLM and RTL results combined with physical design into calibrated latency, bandwidth, energy, utilization, and occupancy parameters for end-to-end AI workload performance prediction
- Provide the TLM as a reference golden model for design verification, including transaction-level scoreboards and performance checks
- Collaborate with DV and RTL teams to ensure RTL produces desired behavior and the TLM accurately reflects the RTL
- Plan modeling work against the hardware roadmap
- Run sensitivity studies on buffer sizes, interface widths, scheduling policies, and bus configurations
- Turn modeling results into recommendations for architecture and hardware teams
- Correlate TLM against RTL, FPGA prototypes, and synthesis results
- Work closely with architecture, hardware design, and DV teams to refine the end-to-end system
Requirements
What you’ll need- 5+ years of experience in performance modeling at a major semiconductor company
- Demonstrated proficiency in understanding architectures and transforming them into performant modeling code
- Use of various modeling techniques and languages
- Excellent written and spoken communication skills
- Experience with AI acceleration hardware (bonus)
- Experience with architecture-level modeling and cost tools such as AccelForge, Timeloop/Accelergy, CACTI, McPAT, or gem6 (bonus)
- Experience with DV methodology (bonus)
- Hands-on use of LLMs or agentic tools in development workflows (bonus)
- Exposure to analog, mixed-signal, or unconventional compute (bonus)
- Experience with memory interfaces including LPDDR, HBM, and DDR, and other I/O (bonus)
Benefits
Comp & perks- Equal Employment Opportunity Employer committed to diversity and inclusion
- Reasonable accommodations for individuals with disabilities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Transaction-Level ModelingRTL VerificationLatency CalibrationBandwidth AnalysisEnergy UtilizationOccupancy ParametersSensitivity StudiesModeling TechniquesAI Acceleration HardwareMemory Interfaces
Soft Skills
Excellent Communication Skills
Tools & Technologies
AccelForgeTimeloopAccelergyCACTIMcPATGem6
Industry Keywords
SemiconductorDV MethodologyAnalog ComputingMixed-Signal ComputingUnconventional Compute