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Vulkan Developer Jobs in California (NOW HIRING)

Qualcomm

GPU Systems Driver Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: GPU System Driver ... As a member of team, you will develop Vulkan/D3D12 driver for prototyping, exploration, and ...

Figure

Sr/Staff Graphics Engineer

San Jose, CA · On-site

$164K - $202K/yr

... optimize Vulkan and OpenGL ES rendering pipelines to achieve smooth, high-framerate output. • ... systems engineers. • Establish best practices for graphics development, testing, and CI ...

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Vulkan Developer information

What is the difference between Vulkan Developer vs OpenGL Developer?

AspectVulkan DeveloperOpenGL Developer
Required CredentialsProficiency in Vulkan API, programming skills in C/C++, graphics programming experienceKnowledge of OpenGL API, similar programming skills, graphics programming experience
Work EnvironmentDeveloping high-performance graphics and compute applications, often in gaming or simulation industriesCreating cross-platform graphics applications, often in gaming, CAD, or visualization sectors
Industry UsageUsed in modern, high-efficiency graphics engines, VR, and real-time renderingWidely used in legacy systems, cross-platform applications, and educational contexts

Vulkan Developers focus on high-performance, low-level graphics programming using the Vulkan API, suitable for modern, resource-intensive applications. OpenGL Developers work with a more established, higher-level API, often for cross-platform compatibility and legacy support. Both roles require strong graphics programming skills but differ in API complexity and application focus.

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Infographic showing various Vulkan Developer job openings in California as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution.
Senior Engineer, Machine Learning Application Developer

Senior Engineer, Machine Learning Application Developer

Samsung Semiconductor

San Jose, CA • On-site

$112K - $154K/yr

Full-time

Posted 22 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

109th of 141 rated electronics manufacturers

Job description

Job Summary:
Samsung Semiconductor is a world leader in advanced semiconductor technology, focusing on creating a better world through excellence. They are seeking a Senior Engineer, Machine Learning Application Developer to develop neural rendering applications and machine learning software for efficient AI workload execution on mobile GPUs.
Responsibilities:
• You help developing and optimizing neural rendering applications, API-level software, and ML operator implementations, including GEMM, convolution, activations, and related workloads, using Vulkan, OpenGL, and OpenCL to enable efficient execution of ML and graphics workloads on Samsung GPU platforms.
• You analyze software performance and hardware resource utilization to identify bottlenecks and optimize application performance, efficiency, and scalability across a variety of ML workloads.
• You proactively seek collaborations with GPU architects, software engineers, and hardware teams to understand underlying hardware constraints and translate performance insights into optimized software solutions.
• You leverage low-level performance analysis techniques, including assembly-level investigation when needed, to help improve execution efficiency and maximize GPU utilization.
• You take initiatives on moderate-to-complex projects and help advance best practices and methodologies by staying current with the latest advancements in machine learning, neural rendering, and GPU technologies.
Qualifications:
Required:
• 3+ years of experience with a Bachelor's Degree in Computer Science, Computer Engineering, or comparable field, or 2+ years of experience with a Master’s Degree, or Ph.D.
• Strong programming skills in C, C++, and Python.
• Proficiency with API-level programming using in Vulkan, OpenGL, OpenCL, and machine learning frameworks such as PyTorch and TensorFlow.
• Understanding of GPU hardware architecture and experience with low-level performance profiling, analysis, and optimization.
• Hands-on experience developing neural rendering applications at the API level.
• Working knowledge of machine learning operators and workloads, including GEMM, convolution, activations, and related computational kernels.
• Ability to analyze hardware resource constraints and bottlenecks and develop software optimizations that improve performance and efficiency.
• Strong analytical and problem-solving skills, with the ability to identify bottlenecks and propose data-driven solutions.
• Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.
Preferred:
• Working knowledge of assembly-level analysis, debugging, or optimization.
Company:
Samsung Semiconductor, Inc. (SSI) is a multi-billion dollar wide range of industry-leading semiconductor solutions. Founded in 1974, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.

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