NVIDIA

3 months ago

Senior Software Engineer - Python Numerical Computing Libraries

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Senior Software Engineer to design and implement GPU-accelerated, distributed Python numerical libraries, enabling Python frameworks (NumPy/SciPy/TensorFlow/PyTorch) on CPU and GPU architectures. You will architect and optimize APIs, contribute to runtime systems for multi-GPU computing, and collaborate with product teams to drive library roadmaps for HPC and AI workloads across cloud and supercomputers.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect, prioritize, and develop accelerated and distributed implementations of numerical algorithms
•Design future-proof Python APIs for accelerated numerical/scientific computing libraries
•Analyze and improve the performance of developed APIs on various CPU and GPU architectures
•Prototype integrations of developed APIs into targeted frameworks
•Write effective, maintainable, and well-tested code for production use

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Excellent Python, C++ and CUDA programming skills
•Strong understanding of fundamental numerical methods, dense and sparse array computing
•Deep familiarity with Python numerical computing libraries (e.g. NumPy, SciPy), including accelerated implementations (e.g. CuPy, Jax.NumPy, NumS, cuNumeric)
•Experience developing and publishing Python libraries, following standard methodologies for pythonic API design
•Strong background with parallel programming and performance analysis

Experience:6+ yearsHigh performance computingData scienceAIDeep learning

Education:Bachelor's

Skills:CollaborationProblem-solving

Tech Stack:PythonC++CUDANumPySciPyCuPyJax.NumPyNumSCuNumericTensorFlowPyTorch

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

3 months ago

Senior Software Engineer - Python Numerical Computing Libraries

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect, prioritize, and develop accelerated and distributed implementations of numerical algorithms
•Design future-proof Python APIs for accelerated numerical/scientific computing libraries
•Analyze and improve the performance of developed APIs on various CPU and GPU architectures
•Prototype integrations of developed APIs into targeted frameworks
•Write effective, maintainable, and well-tested code for production use

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Excellent Python, C++ and CUDA programming skills
•Strong understanding of fundamental numerical methods, dense and sparse array computing
•Deep familiarity with Python numerical computing libraries (e.g. NumPy, SciPy), including accelerated implementations (e.g. CuPy, Jax.NumPy, NumS, cuNumeric)
•Experience developing and publishing Python libraries, following standard methodologies for pythonic API design
•Strong background with parallel programming and performance analysis

Experience:6+ yearsHigh performance computingData scienceAIDeep learning

Education:Bachelor's

Skills:CollaborationProblem-solving

Tech Stack:PythonC++CUDANumPySciPyCuPyJax.NumPyNumSCuNumericTensorFlowPyTorch

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