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About Ramon.Space

Ramon.Space is making the final frontier possible by bringing Earth-like computing infrastructure to Space. The company equips satellites with storage, processing, and connectivity capabilities to enable the next generation of space applications and services. The core is a SW-empowered, low-power, reliable, and durable computing platform, enabling high data rate processing in space. From small satellites to deep space exploration, Ramon.Space’s computing products ensure that missions are smart, adaptable, and future proof.

Job Summary

We are seeking an experienced SW DSP Engineer to join our innovative team, leading the development of next-generation space connectivity technology. The ideal candidate will have a proven ability to design and optimize algorithms for our Manycore architecture, minimizing clock cycles and maximizing hardware utilization.

Key Responsibilities

• Design and develop DSP algorithms optimized for space communication systems.
• Collaborate with a team of engineers to implement and optimize DSP algorithms on embedded hardware, focusing on clock cycle efficiency and hardware utilization.
• Test and verify the performance of DSP algorithms in a simulated and real-world environment.
• Stay up-to-date on the latest advancements in DSP, space communication technology, and embedded optimization techniques.

Required Qualifications

• BSc in Computer Science or Electrical Engineering from a leading university.
• Strong understanding of digital signal processing (DSP) principles and algorithms.
• Experience in software development and optimization for embedded systems, particularly in resource-constrained environments.
• Proficiency in C/C++ or other relevant programming languages, with a focus on code optimization and performance tuning.
• Strong communication and interpersonal skills
• Personal skills: Highly motivated, well organized, a “can-do” attitude, excellent team player

Advantages

• Development experience with AMD/Xilinx Versal AI Engines.
• Dedicated to optimizing code and algorithms for maximum performance and efficiency on embedded hardware
• Eagerness to learn and implement cutting-edge optimization techniques for Manycore, VLIW, and SIMD architectures
• Experience with PHY and wireless communication algorithms.
• Work with Linux environment
• Space enthusiastic