NVIDIA

2 months ago

Power Architect - New College Grad 2026

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Power-architecture-focused engineer shaping GPU power features and system-level power management. Collaborates with architects, software, ASIC, and product teams to define power strategies for the GPU roadmap, applying ML to power and performance modeling across DL, ADAS, gaming, and video workloads.

Location: Santa Clara, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Entry level

Key Responsibilities

•Architect GPU power features and system-level power management solutions for NVIDIA products.
•Collaborate closely with Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
•Research and develop solutions to address energy efficiency problems for use-cases such as Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
•Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

Pay and Benefits

Salary: USD 116,000 - 189,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience)
•Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus
•Working knowledge of Python, and frameworks/packages like TensorFlow, Pandas, NumPy, PyTorch a plus
•Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus
•Experience with lab setup and measurement using equipment such as scope/DAQ is helpful

Experience:SemiconductorAI hardwareGPUDeep learning

Education:Master's

Skills:CollaborationCommunicationProblem-solvingTeamworkAnalytical thinking

Languages:English

Tech Stack:PythonTensorFlowPandasNumPyPyTorchDesign CompilerPTPXPower ArtistScopeDAQ

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

Loading job details...

Preparing the role view and application actions.

NVIDIA

2 months ago

Power Architect - New College Grad 2026

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Entry level

Key Responsibilities

•Architect GPU power features and system-level power management solutions for NVIDIA products.
•Collaborate closely with Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap.
•Research and develop solutions to address energy efficiency problems for use-cases such as Deep Learning training, ADAS, Gaming, Video Playback, and Idle.
•Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

Pay and Benefits

Salary: USD 116,000 - 189,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Pursuing or recently completed a MS or PhD in Electrical or Computer Engineering (or equivalent experience)
•Knowledge of performance simulators/monitors and Low Power architectures/techniques a plus
•Working knowledge of Python, and frameworks/packages like TensorFlow, Pandas, NumPy, PyTorch a plus
•Exposure to tools/flows such as Design Compiler, PTPX, and Power Artist etc a huge plus
•Experience with lab setup and measurement using equipment such as scope/DAQ is helpful

Experience:SemiconductorAI hardwareGPUDeep learning

Education:Master's

Skills:CollaborationCommunicationProblem-solvingTeamworkAnalytical thinking

Languages:English

Tech Stack:PythonTensorFlowPandasNumPyPyTorchDesign CompilerPTPXPower ArtistScopeDAQ

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