Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Android @ 4
CUDA @ 4
Computer Vision @ 4
Distributed Systems @ 6
GPU @ 4
Git @ 3
Jira @ 3
Linux @ 4
Python @ 7
Software Development @ 6
TensorRT @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
At NVIDIA, you’ll join a top-tier team advancing technology in AI, imaging solutions, and computing. The Tegra Solutions Engineering team focuses on camera, multimedia, and graphics for embedded platform architectures, including NVIDIA’s DRIVE self-driving platform.
Responsibilities
- Work with product teams to deliver world-class platform solutions.
- Collaborate with software engineers, hardware engineers, and architecture teams to design, develop, validate, and optimize software on NVIDIA’s DRIVE self-driving platform.
- Engage directly with customers and partners to productize DRIVE platforms, gather requirements, and develop and optimize their products.
- Develop and maintain camera-framework drivers to enable and bring up camera sensors on automotive platforms.
- Work with imaging pipelines, debug issues, and support image-quality evaluations.
- Optimize performance for graphics and multimedia components in the driving platform stack.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a closely related field, or equivalent experience.
- 5+ years of hands-on experience in system software development, including 2+ years working with embedded systems focused on imaging and/or graphics pipelines.
- Strong programming skills in C, C++, and Python.
- Familiarity with source-control systems such as Git and Perforce, and tools such as JAMA and JIRA.
- Knowledge of camera sensors, ISP, image quality, camera calibration, and interface components such as CSI and serializers/deserializers.
- Good understanding of graphics fundamentals and GPU architecture.
- Good understanding of Linux, Android, or real-time operating systems.
- Experience working and interacting with customers.
- Ability to adapt to new technologies and platforms.
Preferred Qualifications
- Experience with platform bring-up and BSP software.
- Experience with GPU computing or computer vision.
- Background with AUTOSAR, Cert C/C++, or MISRA.
- Experience with CUDA and TensorRT.
- Track record of integrating and delivering functional and performant real-time and/or distributed systems.
Compensation and Benefits
- Base salary range: USD 152,000–241,500 for Level 3.
- Base salary range: USD 184,000–287,500 for Level 4.
- Eligibility for equity and benefits.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.
More jobs at Nvidia
Senior Staff Network Automation Engineer
Nvidia · Santa Clara, United States
USD 208,000-333,500 per year
Senior MLOps Engineer
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Technical Program Manager - Autonomous Vehicles
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Technical Product Marketing Engineer, Metropolis - New College Grad 2026
Nvidia · Santa Clara, United States
USD 92,000-184,000 per year
Senior Data Analyst - Automotive
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Similar jobs
Senior Software Engineer, Metropolis Vision AI
Nvidia · Santa Clara, United States
USD 224,000-356,500 per year
Senior Software Engineer, Metropolis Vision AI
Nvidia · Santa Clara, United States
USD 224,000-356,500 per year
Principal Engineer, Cloud Site Reliability Engineering
Nvidia · Santa Clara, United States
USD 272,000-431,200 per year
Senior Solutions Architect, IPP
Nvidia · Santa Clara, United States
USD 224,000-431,200 per year
Senior Technical Program Manager, Deep Learning Frameworks
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Director, Autonomous Vehicles Platform
Nvidia · Santa Clara, United States
USD 320,000-488,800 per year
Senior Systems Software Engineer - Autonomous Vehicles
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Software Engineer, Low-Latency Physical AI Sensor Systems
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year