Senior/Principle Research Engineer

DELTA ELECTRONICS INT'L (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DELTA ELECTRONICS INT'L (SINGAPORE) PTE. LTD. is seeking a Scientist in Signal Processing & Sensing to lead DSP algorithm development for FMCW LiDAR.

You will design and validate pipelines that convert raw data into accurate 3D point clouds, addressing challenges like low SNR and hardware non-idealities. The role requires 3+ years in DSP for LiDAR/Radar, strong math skills, and proficiency in MATLAB and Python.

Qualifications

• Bachelor's degree or higher in Electrical Engineering, Signal Processing, Communications, Physics, or related field.
• 3+ years of DSP algorithm development experience for FMCW LiDAR, Radar, or Coherent Optical Communications.
• Proficient in MATLAB and Python (NumPy/SciPy) for prototyping and modeling.

Responsibilities

• DSP Algorithm Development: design, prototype, and refine advanced DSP algorithms for FMCW LiDAR.
• Impairment Calibration: develop digital algorithms to mitigate laser chirp non-linearity, phase noise, I/Q imbalance, and thermal drift.
• Detection & Point Cloud Extraction: optimize CFAR-like detections for high-density 3D point clouds.
• Hardware-Software Co-Design: collaborate on fixed-point requirements, memory footprint, and compute workloads for FPGA/DSP targets.
• Validation & Field Data Analysis: analyze raw waveforms from lab and field tests to validate algorithm accuracy and robustness.

Skills

DSP algorithm development

Digital signal processing

Estimation theory

Spectral analysis

Digital filtering

Detection algorithms

Fixed-point arithmetic

FMCW LiDAR knowledge

MATLAB

Python (NumPy/SciPy)

Education

Bachelor's degree or higher (EE/SigProc)

Tools

MATLAB

Python (NumPy/SciPy)

FPGA

Fixed-point modeling

Job description

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.