# Senior Systems Software Engineer - Deep Learning Solutions

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $120,000–$180,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Systems-Software-Engineer---Deep-Learning-Solutions_JR2014515?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_69ed404b-d18

## Description

We are hiring a Senior Systems Software Engineer to join our team as a technical expert focused on optimizing deep learning inference for autonomous vehicles and robotics on edge devices. This role requires a hands-on specialist who can examine model architectures at the operator level.

The successful candidate will address customer and partner optimization challenges, engage directly with prominent automotive OEMs and robotics associates to analyze, debug, and improve their deep learning models on NVIDIA platforms. They will drive efforts to achieve leading results on MLPerf Edge and industry benchmarks, as well as closed-source engagements with key partners.

Key responsibilities include evaluating emerging model architectures, collaborating across teams, contributing to build reviews, representing NVIDIA externally, and delivering TensorRT and compiler-stack solutions for edge.

We need to see a Master's degree or equivalent experience in Computer Science, Electrical Engineering, or a related field, over 12 years working in the industry, including at least 8 years specializing in deep learning model optimization, inference engineering, or neural network compilation.

The ideal candidate will have comprehensive knowledge of contemporary DL architectures, expert knowledge of GPU architecture fundamentals, CUDA, and low-level performance optimization using heterogeneous computing, solid understanding of embedded operating system internals, memory management, C/C++, and embedded/system software concepts.

Experience with ML compiler frameworks, production deployment experience with autonomous vehicle perception or planning stacks, familiarity with the Physical AI model landscape, contributions to MLPerf benchmarks, and experience with automotive safety standards are highly desirable.

## Skills

### Required
- Deep learning model optimization
- Inference engineering
- Neural network compilation
- GPU architecture fundamentals
- CUDA
- Low-level performance optimization
- Embedded operating system internals
- Memory management
- C/C++
- Embedded/system software concepts

### Nice to have
- ML compiler frameworks
- Autonomous vehicle perception or planning stacks
- Physical AI model landscape
- MLPerf benchmarks
- Automotive safety standards

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Systems-Software-Engineer---Deep-Learning-Solutions_JR2014515?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)