Senior DSP Engineer

CesiumAstro•Westminster, CO

6d•$133,000 - $161,000

About The Position

At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. We are looking to add a Senior DSP Engineer to our team. In this position, you will be responsible for the design, development, and implementation of digital signal processing (DSP) algorithms and embedded software across a range of applications. This role focuses on delivering efficient, real-time signal processing solutions and integrating them into embedded and hardware-based platforms. The position requires strong expertise in DSP theory, algorithm development, and embedded software engineering, along with the ability to collaborate cross-functionally with hardware, firmware, and systems engineering teams. Exposure to advanced compute architectures, including memory-centric design approaches, is a plus.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field required
5–8+ years of experience in DSP algorithm development and embedded software engineering.
Strong embedded software development skills, including debugging and performance optimization.
Experience with real-time and resource-constrained systems.
Familiarity with simulation and modeling tools (e.g., MATLAB, Simulink).
Solid understanding of DSP concepts (e.g., filtering, FFTs, time-frequency analysis, detection theory).
Understanding of memory hierarchies and data movement considerations in compute systems.
Experience with software development best practices (e.g., version control, code reviews).
Programming languages: C/C++, Python, MATLAB
Simulation tools: MATLAB, Simulink, or equivalent
Strong analytical and problem-solving skills.
Effective communication and collaboration skills.

Nice To Haves

Exposure to advanced compute architectures, including memory-centric design approaches, is a plus.

Responsibilities

Design, develop, and implement DSP algorithms such as filtering, spectral analysis, detection, and estimation.
Translate algorithm concepts into efficient software implementations (C/C++, Python, MATLAB).
Optimize algorithms for performance, accuracy, and resource utilization.
Develop, test, and maintain embedded software supporting DSP pipelines on target platforms.
Implement real-time signal processing applications on embedded processors or DSP cores.
Optimize code for performance, memory usage, and power efficiency.
Debug and resolve issues across software, hardware interfaces, and system integration layers.
Integrate DSP algorithms and embedded software into embedded systems, processors, or hardware platforms.
Support real-time implementation and optimization for latency, throughput, and power constraints.
Collaborate with cross-functional teams to ensure seamless system integration and performance.
Develop models and simulations to validate DSP algorithms and system performance.
Conduct testing, debugging, and performance analysis across software and hardware environments.
Perform trade studies to evaluate design alternatives and implementation approaches.
Work closely with hardware, FPGA, and firmware engineers to implement DSP solutions on target platforms.
Support hardware bring-up, integration, and troubleshooting activities.
Contribute to interface definition and system architecture discussions.
Support optimization of DSP algorithms and embedded implementations for modern compute architectures, including memory-aware or memory-centric designs.
Collaborate with senior engineers to evaluate data movement, memory bandwidth, and processing efficiency.
Contribute to performance improvements through effective use of memory hierarchies and compute resources.