... • Strong Linux command-line mastery. You are comfortable debugging build issues, managing ... production, or VFX pipelines. • Proficiency in Python and C++ for rapid prototyping and ...
... • Strong Linux command-line mastery. You are comfortable debugging build issues, managing ... production, or VFX pipelines. • Proficiency in Python and C++ for rapid prototyping and ...
Crowds Artist
$60.69 - $75.95/hr
Solid understanding of the production processes and pipelines of CG Animation, VFX, or Video Game ... Experience with scripting languages such as Python * Experience with the Linux or Unix operating ...
Crowds Artist
$60.69 - $75.95/hr
Solid understanding of the production processes and pipelines of CG Animation, VFX, or Video Game ... Experience with scripting languages such as Python * Experience with the Linux or Unix operating ...
We are seeking a Technical Marketing Engineer (TME) to build demos in Linux and Windows, develop ... VFX pipelines. * Proficiency in Python and C++ for rapid prototyping and performance tuning.
We are seeking a Technical Marketing Engineer (TME) to build demos in Linux and Windows, develop ... VFX pipelines. * Proficiency in Python and C++ for rapid prototyping and performance tuning.
We are seeking a Technical Marketing Engineer (TME) to build demos in Linux and Windows, develop ... VFX pipelines. * Proficiency in Python and C++ for rapid prototyping and performance tuning.
We are seeking a Technical Marketing Engineer (TME) to build demos in Linux and Windows, develop ... VFX pipelines. * Proficiency in Python and C++ for rapid prototyping and performance tuning.
Senior 3D Technical Artist/Creative Technologist
Redmond, WA · On-site
$155K - $205K/yr
Python Proficiency: Ability to write scripts to automate tasks within DCC tools and simulation ... Linux (Ubuntu) and Windows operating system proficiency. * Security and Privacy focused mindset.
Senior 3D Technical Artist/Creative Technologist
Redmond, WA · On-site
$155K - $205K/yr
Python Proficiency: Ability to write scripts to automate tasks within DCC tools and simulation ... Linux (Ubuntu) and Windows operating system proficiency. * Security and Privacy focused mindset.
Python Linux Vfx information
See salary details
$13.22 - $19.86
1% of jobs
$19.86 - $26.51
0% of jobs
$26.51 - $33.15
2% of jobs
$33.15 - $39.79
5% of jobs
$39.79 - $46.44
11% of jobs
$48.39 is the 25th percentile. Wages below this are outliers.
$46.44 - $53.08
18% of jobs
The median wage is $56.55 / hr.
$53.08 - $59.72
24% of jobs
$64.80 is the 75th percentile. Wages above this are outliers.
$59.72 - $66.37
18% of jobs
$66.37 - $73.01
13% of jobs
$73.01 - $79.65
5% of jobs
$79.65 - $86.30
3% of jobs
$13
$58
$86
How much do python linux vfx jobs pay per hour?
As of Jun 6, 2026, the average hourly pay for python linux vfx in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
What is the difference between Python Linux Vfx vs Python Linux Compositor?
| Aspect | Python Linux Vfx | Python Linux Compositor |
|---|---|---|
| Required Credentials | Python scripting, Linux proficiency, VFX software knowledge | Python scripting, Linux proficiency, compositing software familiarity |
| Work Environment | VFX studios, post-production facilities | VFX studios, post-production facilities |
| Industry Usage | Creating visual effects, integrating scripts into VFX pipelines | Compositing, layering visual elements, final image assembly |
| Common Search/Comparison | Yes | Yes |
Python Linux Vfx and Python Linux Compositor roles share skills in Python scripting and Linux, but Vfx focuses on creating visual effects, while Compositors specialize in combining visual elements. Both work in similar environments and are essential in post-production workflows.
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Job Summary:
NVIDIA AI is a leader in computer graphics and AI technology, seeking a Technical Marketing Engineer to build demos and develop media pipelines for live media. The role involves technical evangelism, collaboration with product management, and continuous innovation in AI applications.
Responsibilities:
• Demo Engineering: Architect and build high-performance software demos from early-stage product snapshots and cutting-edge SDKs. You will transform abstract technical capabilities into concrete, repeatable, and visually stunning workflows.
• Pipeline Development: Develop and maintain end-to-end media pipelines—from ingest to inference to output—utilizing NVIDIA’s stack (AI for Media, Holoscan for Media, Blueprints, NIMs, SDKs and NMOS Containers).
• Technical Evangelism: Travel to 6–10 industry tradeshows annually. You will set up complex demo rigs, present technical deep-dives to multi-level audiences, and field challenging architectural questions from industry leaders.
• Continuous Innovation: Partner with product management to identify feature gaps or performance bottlenecks, providing actionable feedback that influences the product roadmap.
• Onsite Collaboration: Engage daily with our product management and core engineering teams at HQ. This is an onsite role (minimum 4 days/week) to ensure you are deeply integrated with the development cycle and hardware resources.
Qualifications:
Required:
• Bachelor’s degree from a leading university or equivalent experience
• 8+ years of media industry experience, specifically broadcast or content creation.
• Strong Linux command-line mastery. You are comfortable debugging build issues, managing containers, and navigating complex environments.
• Proven experience with the NVIDIA stack (e.g. CUDA, TensorRT, Rivermax). Experience deploying AI models (LLMs, VLMs, audio enhancement, or generative AI) in production environments.
• Deep understanding of professional media workflows (content creation, virtual production, broadcast, post-production, or real-time graphics). Familiarity with standards like SMPTE ST 2110, RTP, or standard production formats (ProRes, EXR, etc.) is a significant plus.
• Ability to determine and solve root cause engineering problems.
• Ability to distill complex technical architecture into clear, persuasive narratives for both technical and non-technical stakeholders.
• Comfortable presenting to senior leadership, with a high ownership mindset and bias toward clarity and execution.
Preferred:
• Strong AI interest and experience
• Excellent written and verbal communication and collaboration skills to work with world-class teams
• Background in developing software for live production, virtual production, or VFX pipelines.
• Proficiency in Python and C++ for rapid prototyping and performance tuning.
• Demonstrable experience managing trade show technical environments (rack setups, hardware troubleshooting, on-site networking).
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA AI is a leader in computer graphics and AI technology, seeking a Technical Marketing Engineer to build demos and develop media pipelines for live media. The role involves technical evangelism, collaboration with product management, and continuous innovation in AI applications.
Responsibilities:
• Demo Engineering: Architect and build high-performance software demos from early-stage product snapshots and cutting-edge SDKs. You will transform abstract technical capabilities into concrete, repeatable, and visually stunning workflows.
• Pipeline Development: Develop and maintain end-to-end media pipelines—from ingest to inference to output—utilizing NVIDIA’s stack (AI for Media, Holoscan for Media, Blueprints, NIMs, SDKs and NMOS Containers).
• Technical Evangelism: Travel to 6–10 industry tradeshows annually. You will set up complex demo rigs, present technical deep-dives to multi-level audiences, and field challenging architectural questions from industry leaders.
• Continuous Innovation: Partner with product management to identify feature gaps or performance bottlenecks, providing actionable feedback that influences the product roadmap.
• Onsite Collaboration: Engage daily with our product management and core engineering teams at HQ. This is an onsite role (minimum 4 days/week) to ensure you are deeply integrated with the development cycle and hardware resources.
Qualifications:
Required:
• Bachelor’s degree from a leading university or equivalent experience
• 8+ years of media industry experience, specifically broadcast or content creation.
• Strong Linux command-line mastery. You are comfortable debugging build issues, managing containers, and navigating complex environments.
• Proven experience with the NVIDIA stack (e.g. CUDA, TensorRT, Rivermax). Experience deploying AI models (LLMs, VLMs, audio enhancement, or generative AI) in production environments.
• Deep understanding of professional media workflows (content creation, virtual production, broadcast, post-production, or real-time graphics). Familiarity with standards like SMPTE ST 2110, RTP, or standard production formats (ProRes, EXR, etc.) is a significant plus.
• Ability to determine and solve root cause engineering problems.
• Ability to distill complex technical architecture into clear, persuasive narratives for both technical and non-technical stakeholders.
• Comfortable presenting to senior leadership, with a high ownership mindset and bias toward clarity and execution.
Preferred:
• Strong AI interest and experience
• Excellent written and verbal communication and collaboration skills to work with world-class teams
• Background in developing software for live production, virtual production, or VFX pipelines.
• Proficiency in Python and C++ for rapid prototyping and performance tuning.
• Demonstrable experience managing trade show technical environments (rack setups, hardware troubleshooting, on-site networking).
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.