Staff Software Engineer, Deep Learning Acceleration

Aurora
Mountain View, California, United States
Full Time
Hybrid
Senior
USD 171,000 – 274,000
Bachelor Degree
Software Information Technology Telecommunications

Posted 1 month ago

Apply to this job and hundreds more automatically

Get Started
Excellent 4.7

Job summary

Aurora is seeking a Staff Software Engineer focusing on Deep Learning Acceleration to enhance the performance of neural networks in autonomous vehicle systems through performance analysis, optimization, and system tuning. The role involves working on deployment, troubleshooting, and improving deep learning models, requiring strong programming skills and experience with high-performance computing, accompanied by excellent communication skills.

Responsibilities

The Staff Software Engineer will conduct performance analysis and optimization of deep learning networks for autonomous vehicle systems. They will collaborate with cross-functional teams to improve software architecture, system latency, and model deployment efficiency.

Qualifications

C++ CUDA Deep Learning frameworks (PyTorch/TensorFlow) high-performance computing NVIDIA Nsight Compute NVIDIA Nsight Systems parallel programming performance analysis Python roofline model

Candidates must have at least 5 years of professional software engineering experience and a degree in Computer Science or a related field. Strong proficiency in CUDA, C++, Python, and high-performance computing techniques is required.

English

Benefits

  • Annual bonus
  • Equity compensation
  • Health insurance

Company

Aurora

Aurora

Software Development
Location
Mountain View, California, United States

Apply to this job and hundreds more automatically

Get Started
Excellent 4.7
Pete DeQuarto avatar
Pete DeQuarto

AIApply is a total game-changer. Thanks to Auto-Apply, I have been applying to jobs I would never even have come across otherwise!

Akarshak Tanwar avatar
Akarshak Tanwar

In one week I applied to over 150 jobs and locked in 2 confirmed interviews, with a support team that was quick to respond. The auto-apply feature is fascinating and a real pleasure to use!

JC
Julian Carlin

It really worked. In under 48 hours it had applied to 100 jobs on my behalf without any time or effort from me. I am looking forward to seeing how it keeps improving.