Senior Staff Signal Processing Engineer

Job description

Job responsibilities

• Architect Core DSP Pipelines: Lead the algorithmic strategy, modeling, and architectural implementation of end-to-end signal processing pipelines for next-generation coherent lidar systems.
• Optimize for Hardware Execution: Translate high-level mathematical models into compute-optimized architectures, targeting modern embedded platforms (FPGAs/SIMD) and guiding the hardware specification for future custom…
• Bridge Physics and Hardware: Partner closely with photonics, optical R&D, and electrical engineering teams to map physical optical properties and system noise dynamics into practical digital processing algorithms and…
• Build Simulation & Tooling Environments: Develop scalable, first-principles simulation frameworks and prototyping tools to validate algorithms prior to silicon bring-up and evaluate key trade-offs between performance,…
• Verification and Bring-Up: Drive the testing, verification, and performance tuning of DSP IP across simulation, hardware emulation targets, initial ASIC silicon bring-up, and real-world system testing.

Job requirements

• Education & Experience: BSc, MSc or Ph.D. in Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field, paired with 10+ years of relevant industry experience in advanced DSP design.
• Advanced Mathematical & DSP Foundation: Expert-level mastery of foundational and advanced signal processing mathematics (e.g., spectral estimation, filtering, phase recovery, modulation/demodulation, detection theory…
• Relevant Cross-Industry Expertise: Proven track record applying advanced DSP principles within signal-dense domains such as modern radar systems, optical or RF telecommunications, or computational physics.
• Embedded Hardware Targeting: Demonstrated experience mapping and optimizing high-throughput algorithms onto hardware architectures with tight latency, bandwidth, and compute constraints (FPGAs, SoC/SIMD vector engines,…
• High-Level Modeling Skills: Expert proficiency in Python, C/C++, or MATLAB for modeling, simulation, algorithmic verification, and data analysis.
• High Speed Mixed Signal Integration: Familiarity with high-speed optical/RF front-ends, ADCs/DACs, and the associated digital impairment compensation techniques.
• ASIC Transition Experience: Hands on experience taking complex DSP algorithms from FPGA/SIMD prototyping platforms to custom silicon (ASIC microarchitecture specification, fixed-point optimization, and silicon…
• Physics-Based System Modeling: Experience building first-principles models of physical wave propagation, optical coherent detection, RF/optical channel dynamics, or sensor front-end hardware non-idealities.