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Senior Deep Learning Software Engineer Inference

US-CA-Santa Clara
N

NVIDIA

Startup
Category
Technical
Experience
8+ years
Type
Full-Time
Location
US-CA-Santa Clara
Job Description
Benefits & Culture
Flexible hours
Remote work
Paid time off
Fast-paced environment
Direct feedback
Growth opportunities
This goes straight to the founder
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Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$80,000$200,000
Equity % (auto from trade-off model)
0.93%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.08%
$1,884,167
$125,000
0.93%
$1,636,250
$150,000
0.79%
$1,388,333
$175,000
0.65%
$1,140,417

Advanced Salary & Equity Calculator

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Role Overview

We are seeking a highly skilled and experienced Senior Deep Learning Software Engineer specializing in inference to join our team. In this role, you will be instrumental in developing and optimizing deep learning models for efficient deployment on NVIDIA hardware. You will work on cutting-edge technologies, pushing the boundaries of AI and machine learning. This is an exciting opportunity to make a significant impact in a rapidly evolving field.

Responsibilities

  • Design, develop, and implement deep learning models for inference.
  • Optimize model performance for various NVIDIA platforms and frameworks.
  • Collaborate with research scientists and other engineers to integrate new models and techniques.
  • Develop and maintain software tools and libraries for deep learning inference.
  • Stay up-to-date with the latest advancements in deep learning and computer vision.
  • Troubleshoot and resolve issues related to model deployment and performance.
  • Contribute to the overall architecture and design of our AI solutions.

Requirements

  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • Proven experience in developing and deploying deep learning models.
  • Strong programming skills in Python and C++.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
  • Familiarity with NVIDIA GPU programming and optimization techniques.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.

Preferred Qualifications

  • Experience with model quantization, pruning, and other optimization techniques.
  • Knowledge of computer vision or natural language processing.
  • Experience with containerization technologies like Docker and Kubernetes.
  • Contributions to open-source deep learning projects.