מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Tesla Machine Learning Hardware Performance Engineer Self-Driving Hardware United States, Texas, Austin 653063225
10.04.2025
What You’ll Do What You’ll Bring
- Develop performance models and simulation tools to evaluate hardware architectures for machine learning workloads
- Analyze and optimize neural network performance on current and next-gen AI accelerators
- Collaborate with hardware architects and software teams to identify bottlenecks, propose architectural improvements, and validate design trade-offs
- Create benchmarking frameworks to assess performance, power, and latency of ML workloads
- Conduct pre- and post-silicon performance analysis to correlate models with real-world hardware behavior
- Drive hardware-software co-optimization by translating neural network trends into architectural requirements
- Document and communicate findings to cross-functional teams to guide future hardware roadmaps
- Engineering degree in Computer Engineering, Electrical Engineering, Computer Science, or related field or equivalent experience
- 3+ years of industry/research experience in performance modeling, hardware architecture, or ML acceleration
- Strong understanding of AI accelerators, GPU/CPU architectures, memory hierarchies, and parallel computing
- Proficiency in Python/C++ for modeling, analysis, and automation; familiarity with ML frameworks
- Knowledge of neural network architectures and their computational demands
- Proven ability to work with hardware/software teams to translate algorithmic needs into hardware features
- Clear documentation and presentation skills for technical and non-technical stakeholders
- Knowledge of compiler optimizations or ML graph lowering is a plus
משרות נוספות שיכולות לעניין אותך
