Senior PHY-Algo Engineer

Role Summary

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!

• 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.

Responsibilities

• 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

Requirements

• 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

Preferred Qualifications

• 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