Related skills
python tensorflow pytorch cuda nvidia nsight systems📋 Description
- Conduct performance analysis and optimization of DL networks on the AV.
- Optimize software architecture, system performance, and latency for DL apps.
- Deploy DL models on the AV and train at scale in data centers.
- Troubleshoot performance using profiling and roofline techniques.
- Collaborate with cross-functional teams to enhance self-driving tech.
🎯 Requirements
- Minimum 5+ years of software engineering experience.
- BS, MS, or PhD in Computer Science or related field.
- CUDA, C++, Python; CV/transformer DL architectures.
- Extensive HPC/parallel programming; optimize GPU memory, latency, throughput.
- Nsight Systems/Compute and roofline model for optimization.
- DL/ML framework experience (PyTorch or TensorFlow).
🎁 Benefits
- Annual bonus
- Equity compensation
- Comprehensive benefits package
- Hybrid work environment (3 days/week in-office)
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