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The Radar/DSP Firmware Engineer will play a key role in developing advanced RF sensing capabilities for Mach’s autonomous defense platforms. You will be responsible for designing, implementing, and optimizing radar software across the full development lifecycle; from algorithm prototyping to embedded deployment. This role involves close collaboration with cross-functional teams to ensure high-performance, low-latency radar systems that meet mission-critical requirements. Success in this role requires strong technical execution, adaptability, and a hands-on approach in a fast-paced, iterative environment.
Job Responsibility:
Develop, test, and implement radar software for RF sensing technologies ensuring high performance and reliability
Design and implement efficient, well-tested code in C++, Python or C
Work closely with other engineers to ensure seamless hardware-software integration
Develop and maintain signal processing algorithms tailored for RF sensing systems, ensuring real-time performance and low-latency responses in dynamic environments
Actively participate in agile workflows, providing clear visibility into technical risks, development blockers, and engineering trade-offs to support informed decision-making across the team
Troubleshoot, debug, and refine complex software systems, with a focus on maintaining the performance, stability, and robustness required for mission-critical reliability requirements
Requirements:
5+ years of experience in software engineering or RF/radar engineering
Proficiency in C++, Python, or C with the ability to write clean, well-tested, and efficient code
Ability to execute and thrive in a fast-paced, high-iteration environment, delivering frequent software updates with speed and precision
Strong grasp of full software development life cycle, including design, development, deployment, and support
Able to work on-site in Huntington Beach, CA
Nice to have:
Hands-on experience with machine learning, including model development, evaluation, and deployment in real-world environments
Background in either Radar or Wireless Communications L1/PHY/RF
Experience with multi-core development
Experience with fixed or floating point math and implementing FFTs and filters
Strong foundation in supervised and unsupervised learning techniques, with practical applications in clustering, classification, and anomaly detection for signal processing
Demonstrated ability to contribute advancements to projects both as part of a team and individually, with experience making solo contributions to radar software projects
Skilled in performance optimization, real-time constraints, and hardware-software co-design, ensuring scalable and efficient implementation on embedded platforms
Leadership experience in technical teams, driving development of high-performance radar solutions for defense applications with mission-critical reliability requirements
What we offer:
Offers Equity
healthcare
dental and vision plans
retirement savings
paid time off
funds for continuing education, training, and career growth