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Temporary Python Api Developer Jobs in Santa Clara, CA

E-Solutions, Inc.

Python Engineer

San Jose, CA · On-site

... using API Gateways or Service Meshes. - Ensure the stability and scalability of platform ... engineering and AI solutions. Python Engineer1Python EngineerN/AC2C,W-2,1099,C2H,Part Time ...

Programmers.io

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

• 10+ years overall software development experience with at least 3+ years of experience in large scale data platforms. • Excellent expertise in Object oriented programming Python and API's. • ...

Addison Group

Sr. Backend Engineer

San Ramon, CA · On-site

$65 - $75/hr

Title : Sr. Backend Engineer Location : San Ramon, CA Pay : $65-75/hr Job Type : 6 Month Contract ... React, TypeScript • Backend: o Python (API platform, AWS Lambda, dynamic DBs) o Node.js, ...

ClinDCast LLC

Python Backend Engineer

Sunnyvale, CA · On-site

$60 - $65/hr

We are seeking an experienced Python Backend Engineer to design, develop, and maintain scalable ... Familiarity with API Gateways, service meshes, and distributed systems. Experience working in cloud ...

Addison Group

Sr. Backend Engineer

San Ramon, CA · On-site

$65 - $75/hr

Title : Sr. Backend Engineer Location : San Ramon, CA Pay : $65-75/hr Job Type : 6 Month Contract ... React, TypeScript · Backend: o Python (API platform, AWS Lambda, dynamic DBs) o Node.js, ...

Addison Group

Sr. Backend Engineer

San Ramon, CA · On-site

$65 - $75/hr

Title : Sr. Backend Engineer Location : San Ramon, CA Pay : $65-75/hr Job Type : 6 Month Contract ... React, TypeScript · Backend: o Python (API platform, AWS Lambda, dynamic DBs) o Node.js, ...

360 IT Professionals

Python Developer

Santa Cruz, CA · On-site

$58 - $80/hr

Strong hands on experience with Python, Java, API, Linux Demonstrated ability to develop conversion and system implementation plans. Some familiarity of current bioinformatics tools, compression ...

Laiba Technologies LLC

Python Architect

San Jose, CA · On-site

Python Principal Architect Location: San Jose, CA In-person Interview (TP2) -One round Language ... engineering and AI Core Responsibilities Scalable API Development: Design, build, and maintain ...

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How much do temporary python api developer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for temporary python api developer in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

What is the difference between Temporary Python Api Developer vs Temporary Data Analyst?

AspectTemporary Python Api DeveloperTemporary Data Analyst
Required SkillsPython, API development, REST, JSONExcel, SQL, data visualization, statistical analysis
Work EnvironmentSoftware development teams, tech companiesBusiness intelligence, finance, marketing teams
Common CertificationsPython certifications, API development coursesExcel, Tableau, SQL certifications

The Temporary Python Api Developer primarily focuses on building and maintaining APIs using Python, working closely with development teams. In contrast, the Temporary Data Analyst interprets data to provide insights, often using analytical tools. While both roles may require some overlapping technical skills, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Python Api Developer jobs in Santa Clara, CA? The most popular types of Python Api Developer jobs in Santa Clara, CA are:
Temporary Python Api Developer jobs near you
Senior Software Engineer, CUDA Python Core Libraries

Senior Software Engineer, CUDA Python Core Libraries

Nvidia

Santa Clara, CA

$142K - $192K/yr

Full-time

Posted 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 217 rated software companies

Job description

NVIDIA's accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software.

We are hiring a Senior Software Engineer to advance the Python experience for CUDA Core Libraries. You will build Pythonic APIs, language bindings, algorithms, and runtime infrastructure on top of native C/C++ foundations. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike.

What you'll be doing:

  • Design and implement idiomatic Python APIs and bindings for foundational CUDA capabilities and GPU algorithms.

  • Develop and integrate the native C/C++ components that support Python-facing functionality.

  • Define reliable and efficient interoperability boundaries between Python, C/C++, Rust, and other languages.

  • Develop high-performance interfaces that minimize Python and native-language integration overhead.

  • Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and long-term maintenance.

  • Improve the Python developer experience through typing, packaging, examples, diagnostics, continuous integration, and compatibility testing.

  • Collaborate with C/C++, Rust, compiler, and runtime engineers on shared architecture and API decisions.

  • Work directly with users to investigate correctness, usability, compatibility, and performance issues.

What we need to see:

  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.

  • 8+ years of relevant software-development experience.

  • Strong production programming skills in both Python and C/C++; both are required for this role.

  • Experience building Python interfaces to native or systems-level software.

  • Understanding of systems software concepts, performance, concurrency, and API design.

  • Practical experience with parallel, heterogeneous, or GPU programming.

  • Experience developing production software or widely used libraries, including testing, profiling, benchmarking, packaging, and code review.

  • Ability to work independently, define project scope, and drive complex work to completion.

  • Clear written communication skills for API specifications, technical designs, and user documentation.

  • Comfort working in large codebases spanning Python, C/C++, build systems, packaging, and continuous-integration infrastructure.

Ways to stand out from the crowd:

  • Strong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar).

  • Proficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx.

  • Experience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR.

  • Expertise in designing low-overhead interoperability between Python and native languages, including exposure to Rust in mixed-language stacks.

  • Demonstrated interest in developer tools, library design, and improving developer productivity.

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 July 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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