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Senior Python Engineer Jobs in Fremont, CA (NOW HIRING)

Partner with product managers, senior developers, and industry experts to understand project goals ... Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. * Familiarity with ...

Partner with product managers, senior developers, and industry experts to understand project goals ... Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar. * Familiarity with ...

Owns scoped feature or model delivery through collaborative engineering teams. Manages ... Writes clean, efficient, and reliable code using languages such as JavaScript, TypeScript, Python ...

Owns scoped feature or model delivery through collaborative engineering teams. Manages ... Writes clean, efficient, and reliable code using languages such as JavaScript, TypeScript, Python ...

Owns scoped feature or model delivery through collaborative engineering teams. Manages ... Writes clean, efficient, and reliable code using languages such as JavaScript, TypeScript, Python ...

Owns scoped feature or model delivery through collaborative engineering teams. Manages ... Writes clean, efficient, and reliable code using languages such as JavaScript, TypeScript, Python ...

Owns scoped feature or model delivery through collaborative engineering teams. Manages ... Writes clean, efficient, and reliable code using languages such as JavaScript, TypeScript, Python ...

Owns scoped feature or model delivery through collaborative engineering teams. Manages ... Writes clean, efficient, and reliable code using languages such as JavaScript, TypeScript, Python ...

Owns scoped feature or model delivery through collaborative engineering teams. Manages ... Writes clean, efficient, and reliable code using languages such as JavaScript, TypeScript, Python ...

Partner with product managers, senior developers, and industry experts to understand project goals ... in Python and libraries such as PyTorch, Pandas, NumPy, or similar. • Familiarity with ...

Partner with product managers, senior developers, and industry experts to understand project goals ... in Python and libraries such as PyTorch, Pandas, NumPy, or similar. • Familiarity with ...

Showing results 41-60

Senior Python Engineer information

See Fremont, CA salary details

$60.2K

$155.4K

$213.5K

How much do senior python engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior python engineer in Fremont, CA is $155,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $179,000.00 per year, depending on experience, location, and employer.

What does a senior Python engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the key skills and qualifications needed to thrive as a senior Python engineer, and why are they important?

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What are the common challenges senior Python engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.

What are popular job titles related to Senior Python Engineer jobs in Fremont, CA?

For Senior Python Engineer jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Senior Python Engineer jobs in Fremont, CA look for?

The top searched job categories for Senior Python Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Senior Python Engineer jobs?

Cities near Fremont, CA with the most Senior Python Engineer job openings:

Infographic showing various Senior Python Engineer job openings in Fremont, CA as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $155,416 per year, or $74.7 per hour.

Senior Software Engineer, CUDA Python Core Libraries

Nvidia

Santa Clara, CA • On-site

$142K - $192K/yr

Full-time

Re-posted 4 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 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


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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