About Lyte AI
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!
About The Role
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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
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Design and implement DSP algorithms across multiple chip architectures (ARM, VLIW, SIMD/vector DSPs, and proprietary accelerators).
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Work in tight collaboration with the Algorithm team to refine algorithm definitions, validate numerical behavior, and support floating-point to fixed-point transitions.
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Develop and optimize performance-critical kernels using chip-specific intrinsics, vector operations, and low-level optimization techniques.
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Analyze compiler output and optimize generated code through assembly review, compiler reports, and profiling-driven tuning.
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Build complete DSP processing pipelines and applications in multi-processor / multi-core environments for real-time embedded systems.
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Optimize system-level performance including compute scheduling, memory/bandwidth usage, latency budgets, and real-time constraints.
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Debug and root-cause issues related to performance, numerical stability, and real-time correctness across hardware and software boundaries.
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Collaborate cross-functionally with Algorithm, Architecture, Silicon, Verification, and Embedded SW teams to ensure correct integration and best system-level performance.
Required Qualifications
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Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
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At least 5 years of hands-on experience implementing DSP algorithms in production systems
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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
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Experience with low-level performance optimization techniques, including use of chip- specific intrinsics and analysis of compiler-generated assembly code
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Experience developing real-time embedded software in multi-core / multi-processor environments
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Experience working with MATLAB and Python for algorithm development, modeling, validation, or prototyping
Preferred Qualifications
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Experience with specific DSP platforms and toolchains (e.g., Xtensa, Hexagon, CEVA, or proprietary VLIW/vector DSP processors)
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Experience implementing high-rate signal processing pipelines for sensor or perception systems (radar, lidar, camera, audio, or similar)
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Strong familiarity with RTOS environments, real-time scheduling, and synchronization primitives
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Understanding of SoC-level integration topics such as memory hierarchy, DMA engines, cache behavior, and accelerator interfaces
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Experience building automated testing, CI/regression frameworks, and performance regression tracking for embedded DSP software
Benefits
(subject to location and local regulations)
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Competitive salary and equity
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Comprehensive medical, dental, and vision coverage
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401(k) retirement plan
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Flexible vacation and time-off policy
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Collaborative, fast-paced, and inclusive work environment
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Opportunity to work on cutting-edge technologies with a highly cross-functional team
The Pay Range For This Role Is
150,000 - 220,000 USD per year(Bay Area, CA)