NVIDIA

2 months ago

Senior Technical Program Manager, SCG Efficiency

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior TPM leading AI-driven efficiency initiatives within NVIDIA’s Silicon Co-Design Group (SCG), coordinating cross-functional teams across systems, software, operations, and marketing to deliver AI-powered silicon projects on schedule and with high reliability.

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Seniority: Sr. Manager level

Key Responsibilities

•Lead end-to-end AI-driven automation initiatives; own planning, development, and management of project schedules and deliverables to achieve program objectives on time.
•Manage the SCG AI-driven automation feature development lifecycle (data collection and labeling, experiments, model training, evaluation, deployment, and monitoring) with focus on reliability, safety, and performance.
•Participate in design reviews and manage scope changes to minimize impacts on timelines; champion CI/CD, release management, experimentation, observability, and post-release validation for AI-powered features.
•Serve as the primary liaison for the technical team in multi-functional discussions, ensuring alignment on achievements and go-to-production strategies.
•Identify risks and dependencies, develop mitigation strategies, and escalate issues to leadership as needed.

Key Requirements

•Bachelor of Science in Applied Science or Engineering is required (or equivalent experience); a Master’s degree is helpful.

Experience:10+ yearsAiSemiconductorSilicon

Education:Bachelor's

Skills:CommunicationProblem-solvingLeadershipOrganizationCollaboration

Tech Stack:PyTorchTensorFlowLLMsRetrieval-augmented generationCI/CDDistributed systemsLarge-scale servicesAI workflows

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

2 months ago

Senior Technical Program Manager, SCG Efficiency

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Seniority: Sr. Manager level

Key Responsibilities

•Lead end-to-end AI-driven automation initiatives; own planning, development, and management of project schedules and deliverables to achieve program objectives on time.
•Manage the SCG AI-driven automation feature development lifecycle (data collection and labeling, experiments, model training, evaluation, deployment, and monitoring) with focus on reliability, safety, and performance.
•Participate in design reviews and manage scope changes to minimize impacts on timelines; champion CI/CD, release management, experimentation, observability, and post-release validation for AI-powered features.
•Serve as the primary liaison for the technical team in multi-functional discussions, ensuring alignment on achievements and go-to-production strategies.
•Identify risks and dependencies, develop mitigation strategies, and escalate issues to leadership as needed.

Key Requirements

•Bachelor of Science in Applied Science or Engineering is required (or equivalent experience); a Master’s degree is helpful.

Experience:10+ yearsAiSemiconductorSilicon

Education:Bachelor's

Skills:CommunicationProblem-solvingLeadershipOrganizationCollaboration

Tech Stack:PyTorchTensorFlowLLMsRetrieval-augmented generationCI/CDDistributed systemsLarge-scale servicesAI workflows

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