Senior Software Engineer, Metropolis Vision AI
NVIDIA· Engineer, Sys SW
Santa Clara, CA$224k - $356.5kFull-timePosted 3mo ago
About the role
Senior System Software Engineer for Vision AI focusing on high-performance vision pipelines, large-scale distributed services, and production-ready Vision-Language/vision AI systems for Metropolis Vision AI platform.
Responsibilities
- Crafting and implementing high-performance Vision AI pipelines for real-time and streaming scenarios using brand-new computer vision and deep learning models.
- Developing and refining large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings.
- Developing multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes.
- Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale.
- Profiling and tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets.
- Collaborating with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations.
- Driving technical build reviews, promoting guidelines for code quality and testing, and mentoring other engineers on Vision AI systems development.
Qualifications
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience.
- 12+ years of professional software development experience using modern C++ (14/17/20) and Python on Linux.
- Strong computer science fundamentals, including algorithms, data structures, concurrency, and distributed systems concepts.
- Demonstrated expertise in computer vision and deep learning, with a history of deploying production systems in these fields with a focus on Vision-Language Model (VLM).
- Experience building and debugging high-performance, concurrent systems, including multi-threading, asynchronous I/O, and efficient memory management.
- Proficiency working in Linux-based environments with containers and microservices, integrating AI components into scalable back-end services.
- Ability to rapidly prototype vision models and pipelines, then evolve them into production-quality services.
- Practical experience with PyTorch in training, fine-tuning, and deploying models for vision tasks.
- Strong analytical and problem-solving skills, with a data-driven approach to performance optimization and system build.
- Excellent written and verbal communication skills, with demonstrated success collaborating across time zones and functions.
Skills
Required:C++ (14/17/20)PythonLinuxDistributed systemsGPU-accelerated inferencePyTorchVision and deep learning
Benefits
- equity
- competitive salaries
- generous benefits package
- benefits (link provided)
Last updated Aug 21, 2026. Interested? Apply on the company site.
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