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Remote Python Programmer Jobs in San Francisco, CA

DevOps Engineer

San Francisco, CA ยท Remote

$62.25 - $85/hr

Requires 4+ years of DevOps experience, strong knowledge of Docker/Kubernetes, Terraform, and scripting (Python/Bash). Job Overview Location: Remote Seniority Level: Senior

DevOps Engineer

San Francisco, CA ยท Remote

$54 - $74/hr

Requires 4+ years of DevOps experience, strong knowledge of Docker/Kubernetes, Terraform, and scripting (Python/Bash). Job Overview Location: Remote Seniority Level: Senior

Solve complex engineering problems and make sound decisions about priorities. * Collaborate closely ... Proficiency in Golang or Python (both are great). * Experience with cloud-native architectures (AWS ...

Solve complex engineering problems and make sound decisions about priorities. * Collaborate closely ... Proficiency in Golang or Python (both are great). * Experience with cloudnative architectures (AWS ...

Software Engineer

San Francisco, CA ยท Remote

$60 - $80/hr

Remote Software Engineer (USA Only) | $60 - $80 per hour Are you a software engineer who thrives in ... Python, Java, JavaScript, C#, or Go. * Experience with front-end frameworks (React, Angular, or Vue ...

Senior ML Engineer

San Francisco, CA ยท Remote

$180K - $240K/yr

You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ... Remote-first with strong perks -- flexible vacation, paid sabbatical after 5 years, comprehensive ...

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Remote Python Programmer information

See San Francisco, CA salary details

$47

$80

$97

How much do remote python programmer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote python programmer in San Francisco, CA is $80.24, according to ZipRecruiter salary data. Most workers in this role earn between $73.65 and $84.95 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote Python programmers, and how can they be addressed?

Remote Python programmers often encounter challenges such as maintaining clear communication with team members across different time zones, managing self-discipline while working independently, and ensuring effective collaboration on codebases. To address these issues, it's important to proactively participate in virtual meetings, use collaborative tools like version control systems (e.g., Git), and establish a structured daily routine. Staying engaged with team chat channels and leveraging project management platforms also helps facilitate smooth workflow and keeps everyone aligned.

What are remote Python programmers?

Remote Python programmers are software developers who specialize in the Python programming language and work from locations outside of a traditional office environment. They design, build, and maintain applications, scripts, or systems using Python, collaborating with teams and clients through online tools. This role typically requires strong problem-solving skills, familiarity with remote work tools, and the ability to communicate effectively in a distributed team setting.

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

To thrive as a Remote Python Programmer, you need strong proficiency in Python programming, problem-solving abilities, and a background in computer science or related fields. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and frameworks like Django or Flask is typically required. Excellent communication, self-motivation, and time-management skills are essential for effective remote collaboration. These skills ensure you can deliver high-quality code independently, work efficiently across distributed teams, and adapt to evolving project requirements.

What is the difference between Remote Python Programmer vs Remote Data Analyst?

AspectRemote Python ProgrammerRemote Data Analyst
Required SkillsPython, programming, scripting, APIsData analysis, SQL, Excel, visualization
CertificationsPython certifications, coding bootcampsData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, healthcare, consulting
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, reporting, data-driven decision making

While both roles often work remotely and require analytical skills, Remote Python Programmers focus on coding and software development using Python, whereas Remote Data Analysts specialize in interpreting data and creating reports. The choice depends on whether you prefer programming and building applications or analyzing data to inform business decisions.

What are the most commonly searched types of Python Programmer jobs in San Francisco, CA? The most popular types of Python Programmer jobs in San Francisco, CA are:
What are popular job titles related to Remote Python Programmer jobs in San Francisco, CA? For Remote Python Programmer jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python Programmer jobs in San Francisco, CA look for? The top searched job categories for Remote Python Programmer jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Remote Python Programmer jobs? Cities near San Francisco, CA with the most Remote Python Programmer job openings:
GPU Programming Expert - Fully Remote | Upto $120/hr

GPU Programming Expert - Fully Remote | Upto $120/hr

Mercor

San Francisco, CA โ€ข Remote

$120/hr

Full-time

Re-posted 10 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: CUDA Engineering Expert
Type: Contract
Compensation: $80โ€“$120/hour
Location: Remote

Role Responsibilities

  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
  • Use profiler metrics like L2 cache hit rate, L2 throughput, and occupancy to guide kernel improvements.
  • Review GPU kernel implementations to identify bottlenecks without needing extensive algorithmic background.
  • Write, modify, and reason about C++17, Python, and GPU programming code.
  • Apply CUDA, HIP, and shader programming expertise to improve performance outcomes.
  • Document optimization decisions clearly, noting when specific profiler metrics are useful.

Qualifications

Must-Have

  • Available to work at least 20 hrs/wk.
  • Fluent in core C++ features through C++17.
  • Working knowledge of Python and Git.
  • Fluent in at least one GPU programming model like CUDA, HIP, Slang, HLSL, or GLSL.
  • At least 1 year of professional or graduate-level research experience with GPUs.
  • Strong understanding of GPU profiler performance metrics for kernel optimization.
  • Ability to optimize GPU kernels without deep prior context on every algorithm.

Preferred

  • Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization.
  • Experience optimizing kernels for NVIDIA Blackwell hardware.
  • Familiarity with NSight Compute.
  • Prior experience with GPU hardware organizations like NVIDIA, AMD, or Qualcomm.
  • Open-source contributions related to GPU kernel optimization.

Application Process (Takes 20โ€“30 mins to complete)

  • Submit your resume or relevant technical background to get started.
  • Qualified applicants may be asked to complete a brief technical assessment or submit additional information.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.