About the role
About the role
We are seeking a Senior Algorithms Engineer to research and develop the algorithms that power our high-performance sensing products for robotics and physical AI applications. The algorithms you build are consumed downstream by our physical AI perception team and by the customers who integrate our sensors. The role spans signal processing, detection and estimation, spectral analysis, camera and image processing, computer vision, and machine learning, applied across sensing modalities and increasingly combined with one another. You will take algorithms end to end: from research and prototyping, through validation in simulation and against real-world scenarios, to bring-up and integration into customer platforms. This is a deeply hands-on role. You will derive the algorithm, get it running, and then prove it holds up on real sensor data at scale, closing the gap between what simulation predicted and what the hardware actually does in the field. You will work closely with hardware, firmware, silicon, and system teams.
What you'll do
Research and develop DSP and detection algorithms across the full sensor processing pipeline, including spectrum analysis, filtering, estimation, and detection
Develop camera and image processing algorithms, from raw sensor data through the imaging pipeline to downstream consumption
Develop computer vision algorithms for tasks such as detection, classification, segmentation, tracking, and depth and 3D/4D point-cloud processing
Design, train, and evaluate machine learning and AI models for sensor processing and multi-sensor fusion, and prepare them for deployment on the target platform
Combine classical signal processing with learned components, and fuse information across sensing modalities
Prototype, model, and validate algorithms in Python and C
Analyze large real-world and simulated sensor datasets to characterize algorithm performance and identify failure modes
Define KPIs and build the validation infrastructure used to measure algorithm performance across releases
Work with the embedded and silicon teams to ensure algorithms map efficiently onto the target compute platform
Support bring-up and debug across the algorithm, firmware, and hardware boundary
Partner with hardware, firmware, and system teams on requirements, architecture, and performance trade-offs
Document algorithm design, assumptions, and validation results for internal and customer use
Required Qualifications
Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field
5+ years of experience in algorithm development and data analysis in robotics, physical AI, IoT, or multimodal sensor applications
5+ years of experience in signal processing, including spectrum analysis, filter design, estimation and detection theory, and optimization
Experience with radar or LiDAR sensor processing
Hands-on experience developing computer vision algorithms and applying machine learning to sensor data – clustering, tracking, classification, segmentation, and 3D/4D point-cloud processing
Experience training and evaluating neural networks, including dataset curation and performance analysis
Demonstrated experience taking signal processing, computer vision, or ML algorithms from research through to a working product
Proficiency in Python, with working knowledge of C or C++
Strong data analysis and performance validation skills
Strong debugging and problem-solving skills
Ability to manage multiple tasks in parallel and make consistent progress with limited supervision
Preferred Qualifications
PhD in Electrical Engineering, Computer Science, or a related field
Familiarity with image signal processing (ISP) pipelines and tuning
Familiarity with stereo and multi-camera processing, including calibration, rectification, and depth estimation
Familiarity with ML and AI toolchains for training and deploying neural networks, such as PyTorch or TensorFlow, and with model optimization techniques including quantization and pruning
Familiarity with the constraints of running algorithms on embedded compute, such as DSP cores, hardware accelerators, or fixed-point arithmetic
Experience with GPU or parallel programming
Experience supporting customer integration and bring-up in robotics or industrial programs
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!