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Remote Junior Python Developer Jobs in San Jose, CA

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

We're a remote-first, lean start-up environment and our global BioTeam colleagues are growth ... Design, build, and maintain CI/CD pipelines for Python, .NET/C#, and Flutter (Android/iOS) projects ...

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

We're a remote-first, lean start-up environment and our global BioTeam colleagues are growth ... Design, build, and maintain CI/CD pipelines for Python, .NET/C#, and Flutter (Android/iOS) projects ...

Match Point Solutions

Full stack engineers

Pleasanton, CA · Remote

$35 - $40/hr

Role Full stack Engineer Location Remote duration 6+months Rate $35-$40/hr Summary : 2 full stack ... C++, Python, Java, Go, or Rust * Experience and interest in full-stack development (Backend or Data)

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

Remote Duration: Fulltime Must-have * NVIDIA (DGX) or equivalent high-performance-compute (HPC ... Docker Good to have * DevOps Automation * CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins)

Cypress HCM

OpenStack Administrator

Santa Clara, CA · Remote

Mentor junior team members and contribute to knowledge sharing within engineering labs. Required ... Bash, Python (preferred), Ruby, Perl, C/C++. * Monitoring: Nagios or equivalent. Preferred ...

Natera

Principal Software Engineer

South San Francisco, CA · Remote

$162K - $217K/yr

Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to ... Strong proficiency in at least one general-purpose language (Python, Go, Java, or similar)

Five9

Senior Cloud Infrastructure Engineer

San Ramon, CA · On-site +1

$121K - $164K/yr

Develop Infrastructure-as-Code using Ansible, Terraform or Pulumi, with Python/Bash automation ... and DevOps practices. Work Location: This role is fully remote for candidates who reside outside ...

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All JobsPython Developer JobsRemote Junior Python Developer JobsRemote Junior Python Developer Jobs in San Jose, CA

Remote Junior Python Developer information

See San Jose, CA salary details

$28.1K

$104.3K

$161.1K

How much do remote junior python developer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote junior python developer in San Jose, CA is $104,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some common challenges Remote Junior Python Developers face when starting out, and how can they overcome them?

Remote Junior Python Developers often face challenges such as effective communication with teammates, managing time independently, and understanding existing codebases. To overcome these, it's important to proactively ask questions during team meetings, use collaboration tools like Slack or Jira, and regularly review documentation and code. Setting a daily routine and seeking mentorship or code reviews from more experienced developers can also help accelerate learning and integration into the team.

What are Remote Junior Python Developers?

Remote Junior Python Developers are entry-level programmers who specialize in using the Python programming language to build and maintain software applications while working from a location outside the traditional office environment. Their responsibilities often include writing clean code, debugging, collaborating with team members online, and learning from more experienced developers. They typically work under supervision and are expected to have a foundational understanding of Python as well as good communication skills for remote collaboration.

How to get a job with Python with no experience?

To get a remote junior Python developer position with no experience, focus on building a strong portfolio of projects, contribute to open-source code, and learn relevant tools like Git and basic frameworks. Completing online courses and earning certifications can also demonstrate your skills to employers. Entry-level roles often value problem-solving ability and willingness to learn alongside technical knowledge.

How much does a junior Python developer make?

A junior Python developer typically earns between $50,000 and $80,000 annually, depending on location, industry, and experience. Entry-level roles often require basic knowledge of Python, version control, and problem-solving skills, with salaries increasing as skills and responsibilities grow.

Will AI replace Python devs?

As a Remote Junior Python Developer, AI is a tool that can automate repetitive coding tasks and assist in debugging, but it is unlikely to fully replace human developers. AI can enhance productivity and support learning, but complex problem-solving, creativity, and understanding client needs remain human skills essential for Python development. Staying updated with AI tools and continuously improving coding skills are important for job security in this field.

What are the key skills and qualifications needed to thrive as a Remote Junior Python Developer, and why are they important?

To thrive as a Remote Junior Python Developer, you need a solid grasp of Python programming, basic knowledge of software development principles, and typically a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, code editors such as VS Code, and experience with frameworks like Django or Flask are commonly required. Strong problem-solving abilities, self-motivation, and effective written communication help you stand out, especially when collaborating remotely. These skills and qualities are vital for delivering reliable code, working efficiently in distributed teams, and adapting to evolving project requirements.

What is the difference between Remote Junior Python Developer vs Remote Python Developer?

AspectRemote Junior Python DeveloperRemote Python Developer
Required Experience1-2 years2+ years
SkillsBasic Python, understanding of frameworksAdvanced Python, multiple frameworks, APIs
Work EnvironmentEntry-level projects, mentorshipIndependent tasks, complex projects
CertificationsOptional, beginner coursesRelevant certifications preferred

The main difference between a Remote Junior Python Developer and a Remote Python Developer lies in experience and skill level. Junior developers are typically newer to the field, working on foundational tasks under supervision, while Python Developers have more experience, handling complex projects independently. Both roles are common in remote work environments across tech companies, but the seniority and responsibilities differ significantly.

Can you work remotely as a Python developer?

Yes, many Python developer roles, including junior positions, are available for remote work. Employers often require proficiency in Python, version control tools like Git, and good communication skills for remote collaboration. Remote Python jobs can offer flexible schedules and the opportunity to work from anywhere with a reliable internet connection.
What are popular job titles related to Remote Junior Python Developer jobs in San Jose, CA? For Remote Junior Python Developer jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Remote Junior Python Developer jobs in San Jose, CA look for? The top searched job categories for Remote Junior Python Developer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Remote Junior Python Developer jobs? Cities near San Jose, CA with the most Remote Junior Python Developer job openings:
Remote Junior Python Developer jobs near you
Infographic showing various Remote Junior Python Developer job openings in San Jose, CA as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $104,279 per year, or $50.1 per hour.
Principal Software Engineer - Large-Scale LLM Memory and Storage Systems

Principal Software Engineer - Large-Scale LLM Memory and Storage Systems

Nvidia

Santa Clara, CA • On-site, Remote

$158K - $212K/yr

Full-time

Re-posted 26 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI and reasoning models across multi-node distributed environments. Built in Rust for performance and Python for extensibility, Dynamo orchestrates GPU shards, routes requests, and manages shared KV cache across heterogeneous clusters so that many accelerators feel like a single system at datacenter scale. As large language models rapidly outgrow the memory and compute budget of any single GPU, this platform enables efficient, resilient deployment of cutting-edge LLM workloads.


We are seeking a Principal Systems Engineer to define the vision and roadmap for memory management of large-scale LLM and storage systems.


What you'll be doing:

  • Design and evolve a unified memory layer that spans GPU memory, pinned host memory, RDMA-accessible memory, SSD tiers, and remote file/object/cloud storage to support large-scale LLM inference.

  • Architect and implement deep integrations with leading LLM serving engines (such as vLLM, SGLang, TensorRT-LLM), with a focus on KV-cache offload, reuse, and remote sharing across heterogeneous and disaggregated clusters.

  • Co-design interfaces and protocols that enable disaggregated prefill, peer-to-peer KV-cache sharing, and multi-tier KV-cache storage (GPU, CPU, local disk, and remote memory) for high-throughput, low-latency inference.

  • Partner closely with GPU architecture, networking, and platform teams to exploit GPUDirect, RDMA, NVLink, and similar technologies for low-latency KV-cache access and sharing across heterogeneous accelerators and memory pools.

  • Mentor senior and junior engineers, set technical direction for memory and storage subsystems, and represent the team in internal reviews and external forums (open source, conferences, and customer-facing technical deep dives).

What we need to see:

  • Masters or PhD or equivalent experience

  • 15+ years of experience building large-scale distributed systems, high-performance storage, or ML systems infrastructure in C/C++ and Python, with a track record of delivering production services.

  • Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and experience designing systems that span multiple tiers for performance and cost efficiency.

  • Distributed caching or key-value systems, especially designs optimized for low latency and high concurrency.

  • Hands-on experience with networked I/O and RDMA/NVMe-oF/NVLink-style technologies, and familiarity with concepts like disaggregated and aggregated deployments for AI clusters.

  • Strong skills in profiling and optimizing systems across CPU, GPU, memory, and network, using metrics to drive architectural decisions and validate improvements in TTFT and throughput.

  • Excellent communication skills and prior experience leading cross-functional efforts with research, product, and customer teams.

Ways to stand out from the crowd:

  • Prior contributions to open-source LLM serving or systems projects focused on KV-cache optimization, compression, streaming, or reuse.

  • Experience designing unified memory or storage layers that expose a single logical KV or object model across GPU, host, SSD, and cloud tiers, especially in enterprise or hyperscale environments.

  • Publications or patents in areas such as LLM systems, memory-disaggregated architectures, RDMA/NVLink-based data planes, or KV-cache/CDN-like systems for ML.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 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.

What Nvidia employees say

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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