What are the responsibilities and job description for the Senior Software Engineer, Computer Vision - Autonomous Vehicles position at NVIDIA AI?
Job Requisition ID
JR2013781
Job Category
Engineering
Time Type
Full time
We are looking for a Senior Software Engineer for our Autonomous Vehicle organization. The team combines state-of-the-art Machine Learning and Computer Vision techniques to run offline perception tasks. We seek the best engineers who are passionate about solving problems for self-driving cars and have a strong background in software development. We build platforms, web services, and tools to ingest terabytes of sensor data through a complex pipeline, using advanced deep learning models and mathematical algorithms to produce the highest-quality detection features for self-driving cars. Are you interested in building future technologies to serve millions of self-driving cars across the globe? If so, join us!
What You'll Be Doing
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2013781
Job Category
Engineering
Time Type
Full time
We are looking for a Senior Software Engineer for our Autonomous Vehicle organization. The team combines state-of-the-art Machine Learning and Computer Vision techniques to run offline perception tasks. We seek the best engineers who are passionate about solving problems for self-driving cars and have a strong background in software development. We build platforms, web services, and tools to ingest terabytes of sensor data through a complex pipeline, using advanced deep learning models and mathematical algorithms to produce the highest-quality detection features for self-driving cars. Are you interested in building future technologies to serve millions of self-driving cars across the globe? If so, join us!
What You'll Be Doing
- Advance Deep Learning components for both training and inference stages
- Developing tools to generate and handle big training datasets for different Deep Learning models
- Developing computer vision algorithms for Deep Learning data preprocessing and post-processing
- Integrating Deep Learning algorithms into realistic large-scale offline perception pipelines
- Collaborating with other engineering teams within NVIDIA
- A deep understanding of and experience applying modern Machine Learning techniques to real-world applications
- MS/PhD Computer science or related areas (or equivalent experience)
- 8 years of industry experience
- Strong mathematical foundation, such as Geometry, Linear Algebra, and Numerical Analysis
- Proficient in C and Python, with ability to write clean maintainable code.
- A self-motivated, collaborative and problem-solving mindset
- Strive to learn, solve, and own hard problems end to end
- Ability to work with multiple teams
- Previous experience with HD map generation.
- Strive to learn, solve, and own hard problems end to end.
- Good communication and analytical skills.
- Great team player but an independent self starter
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.