About the role

• We are seeking an experienced Senior DSP Engineer to join our team and help build high-
  performance real-time signal processing software across a wide range of hardware architectures.
  In this role, you will design and implement DSP algorithms and full embedded applications that
  run on systems ranging from ARM-based platforms to VLIW processors and dedicated DSP and
  vector processors. As a DSP engineer, you will work closely with the Algorithm team, as well as
  system, silicon, and software teams, to translate high-level signal processing concepts into
  production-grade implementations optimized for real-time embedded environments.

What you'll do

• Design and implement DSP algorithms across multiple chip architectures (ARM, VLIW,
  SIMD/vector DSPs, and proprietary accelerators).
• Work in tight collaboration with the Algorithm team to refine algorithm definitions,
  validate numerical behavior, and support floating-point to fixed-point transitions.
• Develop and optimize performance-critical kernels using chip-specific intrinsics, vector
  operations, and low-level optimization techniques.
• Analyze compiler output and optimize generated code through assembly review,
  compiler reports, and profiling-driven tuning.
• Build complete DSP processing pipelines and applications in multi-processor / multi-core
  environments for real-time embedded systems.
• Optimize system-level performance including compute scheduling, memory/bandwidth
  usage, latency budgets, and real-time constraints.
• Debug and root-cause issues related to performance, numerical stability, and real-time
  correctness across hardware and software boundaries.
• Collaborate cross-functionally with Algorithm, Architecture, Silicon, Verification, and
  Embedded SW teams to ensure correct integration and best system-level performance.

Required Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
• At least 5 years of hands-on experience implementing DSP algorithms in production
  systems
• Proven experience implementing and optimizing DSP software on architectures such as
  VLIW and SIMD/vector processors (and/or ARM-based platforms), including
  performance-critical kernel development
• Experience with low-level performance optimization techniques, including use of chip-
  specific intrinsics and analysis of compiler-generated assembly code
• Experience developing real-time embedded software in multi-core / multi-processor
  environments
• Experience working with MATLAB and Python for algorithm development, modeling,
  validation, or prototyping

Preferred Qualifications

• Experience with specific DSP platforms and toolchains (e.g., Xtensa, Hexagon, CEVA,
  or proprietary VLIW/vector DSP processors)
• Experience implementing high-rate signal processing pipelines for sensor or perception
  systems (radar, lidar, camera, audio, or similar)
• Strong familiarity with RTOS environments, real-time scheduling, and synchronization
  primitives
• Understanding of SoC-level integration topics such as memory hierarchy, DMA engines,
  cache behavior, and accelerator interfaces
• Experience building automated testing, CI/regression frameworks, and performance
  regression tracking for embedded DSP software

Benefits (subject to location and local regulations)

• Competitive salary and equity 
• Comprehensive medical, dental, and vision coverage 
• 401(k) retirement plan 
• Flexible vacation and time-off policy 
• Collaborative, fast-paced, and inclusive work environment 
• Opportunity to work on cutting-edge technologies with a highly cross-functional team 

About Lyte

Lyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai

If you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you!