GPU Software Engineer

Job Description:

Principal Duties and Responsibilities:

• Applies Graphics knowledge and experience to architect, design, implement, and verify the structure and performance of GPU hardware, drivers, features, applications, and tools.

• Writes code for features, drivers, and APIs using different languages (e.g., C, C , perl, python) and ensures code will perform effectively on different platforms.

• Maintains comprehensive pre- and post-silicon tests using tools and methods in different environments (e.g., simulation, emulation, on-device) to verify performance and identify issues.

• Identifies deficiencies in designs and works with team members to develop solutions to improve designs.

• Collaborates with teams and external stakeholders to expose new features and functionality that align with needs and goals for implementation and customization.

• Writes detailed design documentation and feature descriptions for projects to guide developers and/or customers to use or implement software.

Level of Responsibility:

• Works under supervision.

• Decision-making may affect work beyond immediate work group.

• Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.

• Has a moderate amount of influence over key organizational decisions.

• Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.

· Work Location: 100% Onsite San Diego

Standard 40 hours /week

Job Title: Contractor – Graphics Software Engineer (Dynamic Gaussian Splatting, On-Device XR, Android)

Job Overview

We are seeking a contractor Graphics Software Engineer to support development of real-time Gaussian Splatting–based rendering systems for avatar and XR applications running on-device (edge devices such as Android phones and AR glasses).

This role focuses on GPU optimization, memory-efficient data pipelines, and real-time Gaussian Splatting rendering under mobile constraints. The ideal candidate will be highly hands-on and able to quickly improve performance-critical systems deployed directly on hardware.

Key Responsibilities

1. Gaussian Splatting Rendering

• Develop and optimize Dynamic Gaussian Splatting (3DGS) rendering pipelines
• Improve performance of splat-based rendering, including sorting, data layout, and shader efficiency
• Analyze and resolve issues such as:
• Splat flickering and popping
• Sorting inconsistencies
• Precision differences between CPU and GPU

2. On-Device GPU Optimization (Android / Edge Devices)

• Optimize Gaussian Splatting pipelines for mobile GPUs (e.g., Adreno) on Android
• Ensure efficient execution under limited memory, bandwidth, and power constraints
• Tune rendering for real-time performance on phones and AR glasses

3. Data Pipeline & Memory Efficiency

• Design compact data representations for Gaussian Splatting frame data
• Optimize CPU → GPU data transfers for real-time rendering
• Eliminate intermediate processing and reduce runtime memory overhead

4. Shader Development & Rendering Pipeline Integration

• Implement GPU shaders tailored to Gaussian Splatting data formats
• Optimize shader input pathways for efficient on-device execution
• Integrate rendering pipelines with motion, lighting systems.

5. Debugging & System Validation

• Debug complex rendering issues in Gaussian Splatting pipelines
• Investigate numerical precision issues and GPU/CPU inconsistencies
• Validate rendering output against reference pipelines

6. Collaboration & Execution

• Collaborate closely with XR, vision, and avatar teams
• Contribute to on-device demos and prototype systems (phones / AR glasses)
• Execute quickly on well-defined tasks with strong ownership of implementation

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
• Strong programming skills in C/C
• Experience with Android platform development
• Experience with GPU programming (OpenGL ES, Vulkan, or similar)
• Solid understanding of:
• Real-time rendering pipelines
• GPU memory management
• Performance optimization on embedded systems

Preferred Qualifications

• Direct experience with Gaussian Splatting / Relighting / Simulation
• Experience building graphics systems on mobile or XR devices
• Familiarity with Adreno GPU architecture
• Experience optimizing for real-time constraints (latency, bandwidth, power)
• Experience debugging rendering artifacts in GPU pipelines