Chief Software Architect leading enterprise software architecture for DoD missions at Leidos. Driving cloud architectures and ensuring security and scalability while mentoring technical teams.
About the role
- Senior Software Engineer focused on 3D/4D reconstruction, leveraging deep learning in autonomous driving for NVIDIA. Collaborating within a diverse team to build simulation and modeling systems.
Responsibilities
- Build innovative world reconstruction systems using large geometry models, perception models, Gaussian splatting, diffusion models, and generative world models.
- Invent evaluation methods to measure the reconstruction and simulation quality.
- Develop tools to visualize and triage evaluation metrics.
- Build automated and agentic workflows to boost developer efficiency.
- Profile and optimize the performance of neural networks training and deployment.
- Relentlessly improve the reconstruction fidelity and simulation realism.
- Collaborate with scientists and developers across several organizations.
Requirements
- BS, MS, or PhD degree or equivalent experience in Engineering or Computer Science with a focus on Generative AI, Deep Learning, Computer Vision, Robotics, Computer Graphics, or a related field.
- 5+ years Hands on experience with structure from motion, dense reconstruction, Gaussian splatting, diffusion models, and/or generative world models.
- Solid fundamentals in 3D computer vision and deep learning.
Benefits
- We are an equal opportunity employer and value diversity at our company.
- We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
- We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
- Please contact us to request accommodation.
Job title
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