Senior Embedded DSP & AI Platform Software Engineer

Nutanix; San Diego (CA); On-site; USD 134,000 - 201,000; Full time

Benefits offered by this job

Competitive benefits package

Job summary

Qualcomm Technologies, Inc. seeks a Senior Software Engineer to design and validate embedded and cloud edge software for Snapdragon SoCs. You will develop software across CPU, DSP, and NPU, focusing on low latency and power efficiency for multimedia and AI workloads.

The role emphasizes C/C++, real-time OS, driver development, and deep processor architecture expertise to deliver optimized platform software on resource-constrained devices.

Qualifications

• Bachelor's, Master's or PhD in a related field with 2+ years of software/electrical engineering work.
• Strong experience in C/C++ development and embedded software.
• Proven ability to design and optimize drivers for high-performance processors.
• Solid knowledge of CPU/DSP/NPU architectures and multi-core systems.

Responsibilities

• Design and develop multi-processor multimedia and AI frameworks across CPU, DSP, and NPU.
• Develop high-performance drivers and runtime libraries for DSP/AI hardware.
• Profile and optimize system performance with architecture-aware techniques.
• Collaborate with hardware, tools, and firmware teams to evaluate design trade-offs.
• Integrate and test software on target devices and support OEMs as needed.

Skills

C/C++ programming

Real-time OS

Driver development

Computer architecture

Multi-core / multi-threading

Education

Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field

Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field

PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field

Tools

PCIe

Windows MCDM/WDDM driver stacks

Job description

Qualcomm Technologies, Inc. seeks a Senior Software Engineer to design and validate embedded and cloud edge software for Snapdragon SoCs. You will develop software across CPU, DSP, and NPU, focusing on low latency and power efficiency for multimedia and AI workloads.

The role emphasizes C/C++, real-time OS, driver development, and deep processor architecture expertise to deliver optimized platform software on resource-constrained devices.