Principal Research Architect (ML/IoT)

Location: Framingham, Massachusetts, United States of America

Hiring range: $168,300–$231,450 annually in the primary Framingham work location; ranges may vary by hirify.global work location.

Company

hirify.global Corporation is a privately owned, customer-focused company developing audio technology, automotive, luxury, and premium experiences.

What you will do

• Design, implement, and compare software and system architectures through working prototypes and repeatable experiments.
• Translate research questions into experiment specifications, baseline comparisons, measurable evaluation criteria, and failure tests.
• Write and debug software components connected to devices, sensors, and compute platforms.
• Define APIs, data models, messaging approaches, synchronization, instrumentation, and interfaces across hardware, ML models, and software services.
• Integrate ML models and signal-processing capabilities, evaluating effects on quality, latency, memory, compute, power, and reliability.
• Evaluate third-party technologies, security and privacy boundaries, connectivity failures, and document architectural decisions while mentoring engineers.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Robotics, or a related technical discipline.
• 10+ years of experience designing, architecting, and delivering complex software or systems solutions.
• Experience architecting connected-device, embedded, distributed, IoT, robotics, or edge-computing systems, including hands-on ML-model integration and evaluation.
• Hands-on software development and prototyping experience, including building, debugging, and evaluating experimental systems; Python or comparable ML and systems research tools are valuable.
• Practical experience developing software on Linux-based and/or embedded platforms.
• Deep understanding of networking, APIs, messaging systems, event-driven architectures, and software integration patterns.
• Experience measuring and debugging behavior across hardware, software, and communication boundaries; comparing implementations and revising decisions based on evidence.
• Practical understanding of ML processing pipelines, including input preparation, representations, and inference.
• Strong technical communication, collaboration, curiosity, and initiative.
• Experience designing or integrating audio or multimedia systems, including streaming pipelines, timing, synchronization, and latency.

Nice to have

• Master’s degree or higher in a related engineering or computer science discipline.
• Experience developing or training ML models and optimizing inference on resource-constrained hardware.
• Experience with MQTT, ROS 2, Bluetooth/BLE, device discovery, or comparable communication frameworks.
• Background in robotics, connected products, wearables, automotive systems, industrial automation, sensing, or audio.
• Experience with agentic development tools or agent workflows, including tool integration, execution boundaries, testing, and human oversight.
• Experience guiding research or advanced-development work and converting findings into reusable engineering approaches.

Culture & Benefits

• Work in a multidisciplinary research environment focused on innovation, excellence, independence, and customer impact.
• Competitive base pay with bonus programs and compensation tailored to skills, experience, education, and location.
• Comprehensive health and welfare benefits, a 401(k) plan, and employee wellbeing perks.
• Generous employee discount and access to hirify.global products and experiences.