Senior PHY-Algo Engineer

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

• We are seeking a Senior PHY Algorithm Engineer to join our team and contribute to the
  development and delivery of state-of-the-art algorithmic solutions integrated into the company’s
  products. The successful candidate will have hands-on experience designing and developing
  algorithms intended for implementation on dedicated hardware accelerators, CPUs, GPUs, and
  vector DSPs. In this role, you will be responsible for the development, optimization, and long-
  term support of high-performance DSP algorithm pipelines. You will work closely with Digital
  Front-End design, verification, and embedded DSP software teams throughout the full algorithm
  development lifecycle. You will support silicon bring-up and end-to-end system integration,
  including data analysis and validation, working closely with cross-functional teams to ensure
  robust, production-ready solutions.

• →Research, design, and develop advanced signal processing algorithms for sensing
  applications
• →Define, document, and maintain algorithmic specifications and technical documentation
• →Perform fixed-point analysis and modeling to support efficient HW and SW
  implementations
• →Develop and execute end-to-end algorithm pipeline simulations using MATLAB and/or
  Python
• →Conduct algorithm performance evaluation and validation at both block and system levels
  within simulation environments
• →Optimize platform and HW architectures with a focus on effective HW/SW partitioning
• →Collaborate closely with front-end design, verification, architecture, SW, and system
  teams throughout the development lifecycle

• Bachelor’s degree in Electrical Engineering, Computer Science, or a closely related field
• Minimum of 5 years of experience in algorithm development, spanning concept,
  modeling, and implementation, for signal processing and/or advanced communication
  systems
• Proficiency in Python, MATLAB, and C/C++ for the development, integration, and
  validation of algorithms within end-to-end DSP pipelines
• Demonstrated expertise in fixed-point design and implementation of computationally
  intensive algorithms, including the delivery of bit-exact and cycle-accurate fixed-point
  models and detailed specifications
• Proven experience collaborating with Digital Front-End designers, verification engineers,
  and embedded DSP software developers, including the generation of test vectors to
  enable bit-exact algorithm implementations in RTL and embedded software
• Strong analytical, debugging, and problem-solving capabilities
• Excellent written and verbal communication skills
• A collaborative team-oriented mindset with the ability to work effectively across
  multidisciplinary engineering teams

• MSc or PhD in Electrical Engineering, or a closely related field
• Experience in algorithm development and data analysis across application domains such
  as automotive systems, IoT, robotics, and multimodal sensor platforms
• Strong foundation in signal processing, including spectrum analysis, filter design,
  estimation and detection theory, and optimization techniques
• Experience developing computer vision and machine learning algorithms, including
  clustering, tracking, classification, and 3D point-cloud processing
• Proven experience porting and optimizing DSP algorithms for dedicated HW accelerators
  and heterogeneous CPU/DSP/GPU architectures, with particular emphasis on radar and
  LiDAR sensor applications

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