DSP Engineer (Digital Signal Processing)

As a Digital Signal Processing (DSP) Engineer at MBRYONICS, you'll be a key player on our engineering team, translating advanced communication theory into reality for our cutting-edge optical communication systems. This role is ideally suited for a fresh PhD graduate looking to transition deep academic expertise into high-impact, space-bound hardware. You will dive into algorithm design, system modeling, and cross-functional hardware integration in a fast-paced, high-tech setting.

What you'll do

• Algorithm Development: Design and simulate advanced Digital Signal Processing (DSP) and Forward Error Correction (FEC) algorithms in both floating-point and fixed-point precision to optimize link performance, enhance functionality, and minimize power consumption.
  
  
• Hardware Co-Design: Collaborate closely with the FPGA engineering team to provide clear fixed-point models and specifications, ensuring a smooth transition of your DSP algorithms into RTL implementation.
  
  
• System Modeling: Develop comprehensive end-to-end models of analog RF and optical components (including lasers, modulators, photodetectors, and amplifiers) to accurately evaluate and predict system performance under real-world conditions.
  
  
• Cross-Functional Integration: Partner with optical testing and firmware teams to create robust, automated algorithms for transceiver calibration, beam alignment, and run-time optimization in dynamic space environments.
  
  
• Validation & Testing: Conduct system-level validation of your models against actual hardware performance, utilizing lab data to refine and iterate your designs.
  
  
• Documentation: Document your algorithm architectures, simulation results, and fixed-point specifications to support the wider engineering lifecycle.
  
  

Who you are

• Education: This role would be ideally suited to a Post Doctorate (or nearing completion) with a PHD in Electrical Engineering, Electronic Engineering, Telecommunications, Physics, or a highly related field with a research focus on DSP or digital communications. We would also welcome applications from candidates with experience in industry rather than academia.
  
  
• Simulation Mastery: Extensive hands-on experience using MATLAB and Simulink for complex modeling, system simulation, and algorithm development.
  
  
• Theoretical Grounding: A deep, foundational understanding of digital communication theory, signal modulation, noise modeling, and error-correction techniques.
  
  
• Fixed-Point Familiarity: Experience converting floating-point algorithms into optimized, bit-true fixed-point models suitable for FPGA or ASIC implementation (academic or project-based experience is highly valued).
  
  
• Coding Skills: Proficiency in C/C++ or Python for scripting, data analysis, or rapid prototyping is a strong plus.
  
  
• Problem-Solving Mindset: Strong analytical and mathematical skills, with the academic rigor required to tackle open-ended, complex engineering challenges.
  
  
• Soft Skills & Passion: Excellent technical communication skills, a collaborative mindset eager to work across disciplines, and a genuine interest in space technology and free space optics.