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Mach Industries · 5 months ago

Radar/DSP Firmware Engineer

Huntington Beach

Full-time

Onsite

Senior Level

$170K/yr - $210K/yr

5+ years exp

Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. The Radar/DSP Firmware Engineer will be responsible for developing advanced RF sensing capabilities, designing and implementing radar software while collaborating with cross-functional teams to ensure high-performance systems.

Drone ManagementIndustrialInfrastructureManufacturingNational Security

Responsibilities

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

Qualification

C++PythonRF sensingSignal processingMachine learningMulti-core developmentPerformance optimizationAgile workflowsEmbedded systemsLeadership experience

Required

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

Preferred

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