Software Engineer III (Embedded ML)

Location: Onsite in Redmond, Washington, United States

Company

hirify.global provides information technology and workforce solutions through a large professional services organization operating across the United States and Canada.

What you will do

• Transition machine learning models from research prototypes into efficient real-time inference solutions on embedded devices.
• Train, fine-tune, and adapt models for audio, vision, and multimodal AR/VR and wearable applications.
• Optimize and profile models using quantization, pruning, distillation, operator fusion, and architecture refinements.
• Port and integrate models on DSPs, NPUs, microcontrollers, and mobile SoCs while resolving performance bottlenecks.
• Develop high-performance C/C++ inference pipelines, evaluation tools, scripts, and research infrastructure.
• Collaborate with research scientists, hardware, runtime, and toolchain teams on end-to-end ML deployment and monitoring.

Requirements

• Onsite availability in Redmond, Washington is required.
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
• Industry experience optimizing and running ML inference on embedded or resource-constrained devices.
• Hands-on experience training models with PyTorch or TensorFlow.
• At least 2 years of industry experience writing production-quality C/C++ code.
• Experience profiling and debugging ML and hardware performance issues, with familiarity with DSPs, NPUs, microcontrollers, mobile SoCs, and associated toolchains.

Nice to have

• Experience with ML for audio, computer vision, AR/VR, or wearable devices.
• Knowledge of audio DSP fundamentals, including filtering, STFT/filterbanks, beamforming, and real-time audio processing.
• Experience with ExecuTorch, TFLite/LiteRT, ONNX Runtime, or vendor NPU/DSP SDKs.
• Experience with model compression, SIMD/NEON, DSP intrinsics, or fixed-point arithmetic.

Culture & Benefits

• Collaborative, multifunctional environment involving researchers, hardware engineers, and software developers.
• Emphasis on communication, documentation, code reviews, knowledge sharing, ownership, and self-motivation.
• Full-time consultants have access to medical, dental, vision, 401(k) contributions, PTO, and sick leave.
• Work involves research-oriented problem solving at the frontier of AR/VR and wearable experiences.

Hiring process

• Application evaluation may use artificial intelligence tools to analyze job-related qualifications and interview responses.
• Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.