Senior/Principle Research Engineer, FMCW LiDAR Signal Processing & Sensing

About Silicon Photonics Business Division

Delta Silicon Photonics Business Division develops world-class silicon photonics chips and solutions that power next-generation sensors and intelligent systems. Our mission is to deliver smarter and safer environments — from machines and infrastructure to everyday life — by translating advanced silicon photonics into real-world impact that benefits people. We are a future-focused, innovative, and entrepreneurial team driven by deep technology expertise, bold execution, and a strong sense of purpose.

What You'll Be Doing

As a Scientist in Signal Processing & Sensing, you will lead the core perception and detection algorithm strategy. You will design, model, and validate digital signal processing pipelines that transform raw analog/digital data from FMCW receivers into accurate 3D point clouds, extracting fine velocity and range metrics under challenging signal-to-noise conditions.

What It's Like Working With Us

You'll work in a highly technical, fast-moving environment where problems are complex and solutions are not always predefined. Collaboration is essential across engineering, product, operations, and supply-chain teams, and progress depends on clear thinking, trust, and ownership.

We value curiosity and continuous learning, and we expect team members to be comfortable navigating ambiguity, testing assumptions, and improving through iteration. People here are encouraged to take initiative, learn quickly from both successes and setbacks, and shape how work gets done.

Key Responsibilities

• DSP Algorithm Development: Design, prototype, and refine advanced signal processing algorithms for FMCW LiDAR, including 2D-FFT, range-Doppler decoupling, peak extraction, phase unwrapping, and dynamic noise thresholding.
• Impairment Compensation & Calibration: Develop digital algorithms to mitigate hardware non-idealities, such as laser chirp non-linearity, phase noise, I/Q imbalance, and thermal drift.
• Detection & Point Cloud Extraction: Optimize detection algorithms (e.g., CFAR variants) for low-SNR environments, maximize point cloud density, and suppress ambient clutter and optical crosstalk.
• Hardware-Software Co-Design: Collaborate with Electronics and Embedded SW teams to define fixed-point implementation requirements, memory footprints, and compute workloads for FPGA/DSP hardware targets.
• Validation & Field Data Analysis: Analyze raw digitized waveforms from laboratory setups and field test platforms to validate algorithm accuracy and robustness against real-world environmental edge cases.

Qualifications

• Education: Bachelor's degree or higher in Electrical Engineering, Signal Processing, Communications, Physics, or a related field.
• Experience: 3+ years of relevant experience in DSP algorithm development for FMCW LiDAR, Radar, or Coherent Optical Communications.
• Technical Expertise:
• Strong mathematical proficiency in estimation theory, spectral analysis, digital filtering, and detection algorithms.
• Deep understanding of FMCW signal structures, beat frequency physics, and phase noise impacts.
• Expert-level skill in MATLAB and Python (NumPy/SciPy) for algorithm prototyping and dynamic system modeling.
• Familiarity with FPGA implementation constraints (fixed-point arithmetic, latency, pipelining) is a strong plus.
• Soft Skills: Data-driven, systematic approach to troubleshooting complex noise sources and high attention to detail.