Senior Application Engineer

Principal Application Engineer

We are seeking a Principal Application Engineer to drive deployment and integration of our ultra-low-power edge inference SoC within the U.S. Defense Industrial Base (DIB), including collaborations with Army, Navy, and Air Force research laboratories, broader DoW organizations, and federally funded research and development centers. This role sits at the intersection of silicon, embedded systems, and machine learning, with a focus on enabling real-world edge inference in highly constrained environments.

Application areas include low-power sensing, image/video/signal processing, communications, and edge data reduction where power, size, and connectivity are limited.

As a senior technical leader, you will work directly with customers to architect solutions, drive system integration, resolve complex cross-layer issues, and accelerate transition from evaluation to mission deployment. You will serve as a key technical interface between customers and internal engineering teams, helping shape both customer success and product direction.

Responsibilities:

• Serve as the primary technical interface for strategic DIB customers, including prime contractors, government laboratories, and system integrators
• Lead customer engagements spanning evaluation, system bring-up, integration, optimization, and deployment
• Drive technical discussions with senior engineers, architects, and program leadership within customer organizations
• Represent the company in technical reviews, demonstrations, integration activities, and field evaluations

System Architecture & Integration:

• Guide customers in architecting ultra-low-power edge inference solutions around the SoC platform
• Advise on system-level tradeoffs involving performance, latency, memory footprint, power consumption, and sensor integration
• Support deployment and optimization of ML workloads for constrained edge environments
• Develop reference architectures, application notes, integration guides, and deployment best practices

Cross-Layer Debugging & Optimization:

• Lead debugging and root-cause analysis across hardware, firmware, SDK, model deployment, and system integration layers
• Perform hands-on bring-up and validation using lab instrumentation including oscilloscopes, logic analyzers, protocol analyzers, and power measurement tools
• Diagnose and resolve issues involving interfaces such as SPI, I2C, UART, GPIO, ADCs, and sensor pipelines
• Profile and optimize end-to-end system performance including latency, throughput, energy per inference, and memory utilization

Product & Roadmap Influence:

• Translate customer deployment challenges into actionable feedback for silicon, firmware, SDK, and software teams
• Identify product gaps, tooling limitations, and deployment friction points impacting adoption
• Help shape product roadmap priorities based on real-world customer usage and integration requirements
• Develop reusable methodologies and technical collateral to accelerate future customer engagements

Technical Leadership:

• Mentor junior application engineers and help establish scalable customer support and debug methodologies
• Contribute to internal best practices for system integration, deployment workflows, and customer enablement
• Act as a senior escalation resource for complex technical issues and mission-critical deployments

Field Engagement:

• Support customer integration and deployment activities at customer sites, government labs, and field environments as needed
• Travel as required to support strategic engagements, bring-up activities, demonstrations, and deployment efforts

Required Qualifications:

• U.S. citizenship required; ability to obtain and maintain a U.S. security clearance may be required
• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field
• Typically 8+ years of experience in applications engineering, embedded systems, semiconductor platforms, edge AI, or related technical roles
• Strong proficiency in C/C++ and embedded software development
• Strong Linux proficiency including command-line workflows, scripting, build systems, and development environments
• Experience with Python or similar scripting languages for…