# Deep Learning Engineer Team Lead

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: 224,000 USD – 356,500 USD for Level 3; and 272,000 USD – 431,250 USD for Level 4
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Manager--Deep-Learning---Autonomous-Vehicles-and-Robotics_JR2016768?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4cb0f11d-743

## Description

Join NVIDIA's Deep Learning Engineering team within the Tegra Solutions Engineering organization, where we deliver production-quality deep learning solutions for autonomous vehicles and robotics on edge hardware.

As a key member of our team, you'll lead a group of highly skilled engineers. We work at the intersection of modern model architectures, compiler technology, and embedded deployment. Application areas include end-to-end autonomous driving, vision-language-action models, multi-camera perception, and robotic foundation models.

**Responsibilities**

- Lead and develop a team of deep learning engineers delivering inference optimization and model enablement solutions for automotive and robotics customers.

- Drive end-to-end technical engagements with OEM partners, owning scoping, resource allocation, and delivery of production-quality solutions.

- Set technical direction on how modern architectures (transformers, vision-language models, state space models) are optimized and deployed on GPU and SOC platforms.

- Partner with compiler, runtime, and hardware teams to connect customer workload patterns with platform capabilities and roadmap priorities.

- Collaborate with NVIDIA Research and internal deep learning teams to bring brand new techniques into production!

- Represent NVIDIA externally at partner reviews, conferences, and industry forums.

**Requirements**

- Master's degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.

- 8+ years of overall experience with at least 5 years in deep learning model optimization, inference engineering, or neural network compilation.

- 4+ years of team leadership experience.

- Proven ability to manage concurrent technical customer engagements and deliver under production constraints.

- Strong knowledge of current DL architectures and inference optimization toolchains (TensorRT or equivalent).

- Excellent communication skills with the ability to engage credibly with both OEM engineering leadership and deep technical ICs.

**Nice to Have**

- Experience leading DL optimization teams in the autonomous vehicle or robotics domain with direct OEM or Tier-1 engagement.

- Background in training pipeline optimization, curriculum design, or end-to-end autonomous driving architectures.

- Experience with ML compiler frameworks (TVM, MLIR, XLA, Triton) or inference runtime development.

- Familiarity with automotive safety standards (ISO 26262, SOTIF) and their implications for inference system design.

- Track record of building engineering teams in growing competitive talent markets and experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 3; and 272,000 USD – 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

## Skills

### Required
- deep learning
- model optimization
- inference engineering
- neural network compilation
- team leadership
- communication skills

### Nice to have
- DL optimization
- autonomous vehicle
- robotics
- ML compiler frameworks
- inference runtime development
- automotive safety standards
- Agentic AI frameworks

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Manager--Deep-Learning---Autonomous-Vehicles-and-Robotics_JR2016768?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)