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Python Salary In Jobs in California (NOW HIRING)

Applied Compute

Software Engineer - Python

Sunnyvale, CA · On-site +1

Design and build scalable Python-based tooling and infrastructure to support development across the ... salary is a single component of the total compensation package, which may also include equity in ...

New

Langchain

Python OSS Engineer

San Francisco, CA · On-site

$160K - $240K/yr

In person 5 days/week in San Francisco, CA or Boston, MA (SF preferred) What You'll Do * Improve ... Annual salary range: $160,000- $240,000 Compensation Philosophy: We offer competitive compensation ...

Applied Intuition

Software Engineer - Python

Sunnyvale, CA · On-site

$125K - $222K/yr

Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and ...

TecTammina

Java with Python

San Francisco, CA

Company Description Tech Tammina The salary is open to great candidates. Typically Base plus bonus ... One of the best places to work in San Francisco. Additional Information

Scribd, Inc

Data Scientist II

San Francisco, CA · On-site

$184K/yr

Proficiency in Python. * Hands-on experience building ML pipelines and working with distributed ... In the state of California, the reasonably expected salary range is between $118,000 [minimum ...

Scribd

Data Scientist II

San Francisco, CA · On-site

$184K/yr

Proficiency in Python. * Hands-on experience building ML pipelines and working with distributed ... In the state of California, the reasonably expected salary range is between $118,000 [minimum ...

Sustainable Talent

Senior Python Developer- AI/ML

Bodega Bay, CA · On-site

$144.20K - $194K/yr

About the Role Our client is seeking a Python Developer to develop and optimize applications that ... in high-impact AI/ML projects that drive innovation and business intelligence. * Competitive salary ...

Teledyne

Sr. ASIC Layout Design Engineer

Goleta, CA

$113.60K - $151.40K/yr

Programming/scripting skills in SKILL, TCL, Shell, or Python Salary Range: $113,600.00-$151,400.000 Pay Transparency The anticipated salary range listed for this role is only an estimate. Actual ...

US Bank

Credit Risk Python Architect

San Francisco, CA · On-site

$111.61K - $131.30K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and ...

US Bank

Credit Risk Python Architect

Los Angeles, CA · On-site

$111.61K - $131.30K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and ...

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What is the difference between Python Salary In vs Data Analyst Salary In?

AspectPython Salary InData Analyst Salary In
Required CredentialsProficiency in Python, data manipulation, and scripting skillsProficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, software firms, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed for automation, data analysis, and backend developmentUsed for reporting, data interpretation, and decision support

Python Salary In typically involves programming and automation skills, often in tech-focused environments, while Data Analyst Salary In centers on data interpretation and reporting in various industries. Both roles require analytical skills but differ in technical depth and daily tasks.

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Senior Software Engineer - Python Numerical Computing Libraries

Senior Software Engineer - Python Numerical Computing Libraries

Nvidia Corporation

Santa Clara, CA • On-site

$142.70K - $192K/yr

Full-time

Posted 29 days ago

Job description

We are looking for an experienced software professional to contribute to design and development of accelerated and distributed implementations of Python APIs for numerical computing. In the last decade, Python has become the de-facto programming language for practitioners in AI, data science and HPC, through popular frameworks such as NumPy, SciPy, TensorFlow and PyTorch. These frameworks provide an efficient high-level programming interface, allowing their users to focus on their application while providing highly optimized implementations. NVIDIA has been at the forefront of providing GPU-accelerated implementations of the fundamental components of these frameworks.
Join our dynamic team to help develop and optimize GPU-accelerated and distributed implementations of Python numerical libraries, supporting Python-based frameworks in various ecosystems. This developer will be a crucial member of a team that is working to unlock the power of distributed GPU computing for domains such as scientific computing, data analytics, deep learning, and professional graphics, running on hardware ranging from supercomputers to the cloud!
What you will be doing:
  • Work closely with product management and internal or external partners, to understand use cases and requirements, and contribute to the technical roadmaps of libraries
  • 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, especially as a part of customer-critical end-to-end workflows
  • Prototype integrations of developed APIs into targeted frameworks
  • Write effective, maintainable, and well-tested code for production use
  • Contribute to the development of runtime systems that underlay the foundation of multi-GPU computing at NVIDIA

What we need to see:
  • BS, MS or PhD degree in Computer Science, Applied Math, Electrical Engineering or related field (or equivalent experience)
  • 6+ years of relevant industry experience or equivalent academic experience after BS
  • 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

Ways to stand out from the crowd:
  • Experience using/contributing to Python libraries for data science (e.g. Pandas), machine learning (e.g. scikit-learn) and deep learning (e.g. TensorFlow, PyTorch)
  • Experience with low-level GPU performance optimization
  • Experience building, debugging, profiling and optimizing distributed applications, on supercomputers or the cloud
  • Background with tasking or asynchronous runtimes
  • Background on compiler optimization techniques, and domain-specific language design

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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