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!
About the role
- 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.
What you'll do
- 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
Required Qualifications
- 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
Skills Required
- Bachelor's degree in Electrical Engineering, Computer Science, or a closely related field
- At least 5 years of experience developing algorithms for signal processing or advanced communication systems, from concept through implementation
- Proficiency in Python, MATLAB, and C/C++
- Experience with fixed-point design and implementation of computationally intensive algorithms
- Experience delivering bit-exact and cycle-accurate fixed-point models and detailed specifications
- Experience collaborating with digital front-end, verification, and embedded DSP software teams
- Experience generating test vectors for bit-exact RTL and embedded software implementations
- Strong analytical, debugging, and problem-solving capabilities
- Excellent written and verbal communication skills
- Ability to work effectively across multidisciplinary engineering teams
- MSc or PhD in Electrical Engineering or a closely related field
- Algorithm development and data analysis experience in automotive systems, IoT, robotics, or multimodal sensor platforms
- Strong foundation in signal processing, spectrum analysis, filter design, estimation and detection theory, and optimization
- Experience developing computer vision and machine learning algorithms, including clustering, tracking, classification, and 3D point-cloud processing
- Experience porting and optimizing DSP algorithms for hardware accelerators and heterogeneous CPU/DSP/GPU architectures
- Experience with radar and LiDAR sensor applications
What We Do
Lyte develops perception technology for robots and physical AI systems. Its LyteVision platform combines 4D sensing, RGB imaging, motion awareness, custom silicon, compute, and AI to provide unified spatial and visual data through a modular, plug-and-play system. The company serves robotics developers building autonomous systems for applications including industrial automation and last-mile delivery, helping machines perceive, understand, and operate safely in complex real-world environments.









