NVIDIA

1 week ago

Senior Software Engineer, Metropolis Vision AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Develop and optimize NVIDIA Metropolis Vision AI pipelines for real-time and streaming computer vision. Build large-scale distributed services that process video, image, and 3D data across edge and cloud, and help deliver multi-modal perception for complex scenes. Use simulation and synthetic data to validate algorithms, and tune GPU-accelerated inference for latency, efficiency, and reliability while collaborating across product, research, and platform teams to productionize research at scale.

Location: Ho Chi Minh City, Hanoi

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Implement and optimize Metropolis Vision AI pipelines for real-time and streaming computer vision and deep learning scenarios.
•Develop and refine large-scale distributed services that process video, image, and 3D data in edge and cloud environments.
•Contribute to multi-modal perception capabilities combining 2D, 3D, and temporal information for complex scene understanding.
•Use simulation and synthetic data tools to build, test, and validate perception algorithms at scale.
•Profile and tune GPU-accelerated inference pipelines to meet latency, efficiency, and reliability targets, collaborating with product, research, and platform teams.

Key Requirements

•BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
•8+ years of professional software development experience using modern C++ and Python on Linux.
•Strong fundamentals in algorithms, data structures, concurrency, and distributed systems.
•Experience in computer vision and deep learning with a history of deploying production systems.
•Proficiency building high-performance concurrent systems (multi-threading, asynchronous I/O, memory management) and integrating AI components into scalable back-end services.

Experience:8+ yearsComputer visionDeep learningVision AIDistributed systems

Education:PhD / Doctorate

Skills:Analytical thinkingProblem-solvingWritten communicationVerbal communication

Languages:English

Tech Stack:C++PythonLinuxContainersMicroservicesPyTorchGPU accelerationCUDATensorRTOmniverseUnreal EngineUnity

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Senior Software Engineer, Metropolis Vision AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Ho Chi Minh City, Hanoi

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Implement and optimize Metropolis Vision AI pipelines for real-time and streaming computer vision and deep learning scenarios.
•Develop and refine large-scale distributed services that process video, image, and 3D data in edge and cloud environments.
•Contribute to multi-modal perception capabilities combining 2D, 3D, and temporal information for complex scene understanding.
•Use simulation and synthetic data tools to build, test, and validate perception algorithms at scale.
•Profile and tune GPU-accelerated inference pipelines to meet latency, efficiency, and reliability targets, collaborating with product, research, and platform teams.

Key Requirements

•BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
•8+ years of professional software development experience using modern C++ and Python on Linux.
•Strong fundamentals in algorithms, data structures, concurrency, and distributed systems.
•Experience in computer vision and deep learning with a history of deploying production systems.
•Proficiency building high-performance concurrent systems (multi-threading, asynchronous I/O, memory management) and integrating AI components into scalable back-end services.

Experience:8+ yearsComputer visionDeep learningVision AIDistributed systems

Education:PhD / Doctorate

Skills:Analytical thinkingProblem-solvingWritten communicationVerbal communication

Languages:English

Tech Stack:C++PythonLinuxContainersMicroservicesPyTorchGPU accelerationCUDATensorRTOmniverseUnreal EngineUnity

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor