SW Architect

Software Architect

Key Responsibilities

• Define and drive

  software architecture and partitioning

  strategies across multiple compute elements (NPU, CPU, DSP, GPU).
• Analyze workloads, identify bottlenecks, and ensure

  efficient workload balancing

  across processing units.
• Collaborate closely with

  application developers

  to understand performance requirements and platform constraints.
• Work with SDK and platform teams to

  analyze performance gaps

  and continuously refine software architecture for better throughput and efficiency.
• Propose and implement

  software optimizations

  , data flow improvements, and compute offloading strategies.
• Provide technical guidance and architectural reviews for software integration across heterogeneous compute platforms.
  
• Stay updated with evolving

  SoC architectures, SDK capabilities, and compiler/toolchain enhancements

  to leverage new opportunities for optimization.
• Mentor engineering teams on

  best practices in parallel computing, memory management, and system-level performance tuning.

Requirements

• 10+ years

  of experience in software architecture, system-level design, or performance optimization.
• Strong background in

  heterogeneous computing

  with hands-on experience in NPU, CPU, DSP, and GPU-based architectures.
• Proven expertise in

  software partitioning, scheduling, and load balancing

  techniques.
• Proficiency in C/C++ programming and performance analysis tools.
  
• In-depth understanding of

  SoC design, memory hierarchy, interconnects, and real-time system constraints.

• Experience collaborating with

  SDK and driver teams

  to achieve system-wide performance improvements.
• Strong analytical and problem-solving skills with the ability to make strategic architectural decisions.
  
• Excellent communication and collaboration skills to work with cross-functional engineering teams.
  

Preferred Qualifications

• Masters or Bachelors degree in

  Computer Science, Electronics, or related field

  .
• Prior experience in

  AI/ML workloads, multimedia processing, or embedded system optimization

  .
• Familiarity with

  performance profiling tools

  and

  SoC SDK frameworks

  .