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Mach Industries · 5 months ago

Radar Software Engineer

Huntington Beach, CA

Full-time

Onsite

Mid, 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 Software Engineer will be responsible for developing advanced RF sensing capabilities, designing and implementing radar software, and collaborating with cross-functional teams to ensure high-performance systems.

Drone ManagementIndustrialInfrastructureManufacturingNational Security

No H1B

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 learningPerformance optimizationAgile workflowsTeam collaborationTechnical leadership

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

Strong foundation in supervised and unsupervised learning techniques, with practical applications in clustering, classification, and anomaly detection for signal processing

Ability to commit advancements to projects on a team and individual level, with solo contribution experience on 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